Overview

Dataset statistics

Number of variables8
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory69.1 B

Variable types

Text3
Numeric3
Categorical2

Dataset

Description공단에서 관리하는 관내 공원 현황자료
Author서울특별시은평구시설관리공단
URLhttps://www.data.go.kr/data/15044613/fileData.do

Alerts

관리부서 has constant value ""Constant
소재지도로명주소 is highly imbalanced (63.0%)Imbalance
시설명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:34:16.798990
Analysis finished2023-12-12 05:34:18.450618
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T14:34:18.634982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.953125
Min length6

Characters and Unicode

Total characters509
Distinct characters97
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

Unique64 ?
Unique (%)100.0%

Sample

1st row새록어린이공원
2nd row호연어린이공원
3rd row신록어린이공원
4th row응암어린이공원
5th row포수동어린이공원
ValueCountFrequency (%)
새록어린이공원 1
 
1.6%
호연어린이공원 1
 
1.6%
구산동마을공원마을마당 1
 
1.6%
자투리토지녹번마을마당 1
 
1.6%
녹번동마을마당 1
 
1.6%
불광위령탑마을마당 1
 
1.6%
불광동마을마당 1
 
1.6%
연천초교앞마을마당 1
 
1.6%
불광3동마을숲마을마당 1
 
1.6%
연신초교앞마을마당 1
 
1.6%
Other values (54) 54
84.4%
2023-12-12T14:34:19.091552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 59
 
11.6%
공 40
 
7.9%
원 38
 
7.5%
어 34
 
6.7%
린 33
 
6.5%
이 33
 
6.5%
을 31
 
6.1%
당 27
 
5.3%
동 18
 
3.5%
구 8
 
1.6%
Other values (87) 188
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 500
98.2%
Decimal Number 9
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 59
 
11.8%
공 40
 
8.0%
원 38
 
7.6%
어 34
 
6.8%
린 33
 
6.6%
이 33
 
6.6%
을 31
 
6.2%
당 27
 
5.4%
동 18
 
3.6%
구 8
 
1.6%
Other values (82) 179
35.8%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
3 2
22.2%
1 1
 
11.1%
9 1
 
11.1%
4 1
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 500
98.2%
Common 9
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 59
 
11.8%
공 40
 
8.0%
원 38
 
7.6%
어 34
 
6.8%
린 33
 
6.6%
이 33
 
6.6%
을 31
 
6.2%
당 27
 
5.4%
동 18
 
3.6%
구 8
 
1.6%
Other values (82) 179
35.8%
Common
ValueCountFrequency (%)
2 4
44.4%
3 2
22.2%
1 1
 
11.1%
9 1
 
11.1%
4 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 500
98.2%
ASCII 9
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 59
 
11.8%
공 40
 
8.0%
원 38
 
7.6%
어 34
 
6.8%
린 33
 
6.6%
이 33
 
6.6%
을 31
 
6.2%
당 27
 
5.4%
동 18
 
3.6%
구 8
 
1.6%
Other values (82) 179
35.8%
ASCII
ValueCountFrequency (%)
2 4
44.4%
3 2
22.2%
1 1
 
11.1%
9 1
 
11.1%
4 1
 
11.1%

면적(㎡)
Real number (ℝ)

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean824.67969
Minimum48.8
Maximum4176.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T14:34:19.298490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.8
5-th percentile153.3
Q1319
median685
Q3994.5
95-th percentile1831.605
Maximum4176.9
Range4128.1
Interquartile range (IQR)675.5

Descriptive statistics

Standard deviation723.29385
Coefficient of variation (CV)0.87706034
Kurtosis7.4573509
Mean824.67969
Median Absolute Deviation (MAD)343.55
Skewness2.2854914
Sum52779.5
Variance523153.99
MonotonicityNot monotonic
2023-12-12T14:34:19.471141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
956.0 2
 
3.1%
387.0 2
 
3.1%
183.5 1
 
1.6%
754.0 1
 
1.6%
940.0 1
 
1.6%
324.0 1
 
1.6%
347.0 1
 
1.6%
807.0 1
 
1.6%
711.0 1
 
1.6%
250.0 1
 
1.6%
Other values (52) 52
81.2%
ValueCountFrequency (%)
48.8 1
1.6%
130.0 1
1.6%
139.0 1
1.6%
153.0 1
1.6%
155.0 1
1.6%
157.0 1
1.6%
165.0 1
1.6%
175.0 1
1.6%
183.5 1
1.6%
203.0 1
1.6%
ValueCountFrequency (%)
4176.9 1
1.6%
2896.0 1
1.6%
2811.0 1
1.6%
1848.0 1
1.6%
1738.7 1
1.6%
1596.7 1
1.6%
1532.2 1
1.6%
1526.0 1
1.6%
1398.3 1
1.6%
1256.9 1
1.6%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
공원녹지과(공단-시설운영반)
64 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공원녹지과(공단-시설운영반)
2nd row공원녹지과(공단-시설운영반)
3rd row공원녹지과(공단-시설운영반)
4th row공원녹지과(공단-시설운영반)
5th row공원녹지과(공단-시설운영반)

Common Values

ValueCountFrequency (%)
공원녹지과(공단-시설운영반) 64
100.0%

Length

2023-12-12T14:34:19.639926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:34:19.769987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원녹지과(공단-시설운영반 64
100.0%

소재지우편번호
Text

Distinct43
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T14:34:19.970513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.09375
Min length1

Characters and Unicode

Total characters390
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)54.7%

Sample

1st row122-834
2nd row122-830
3rd row122-825
4th row122-907
5th row122-910
ValueCountFrequency (%)
10
 
15.6%
122-888 4
 
6.2%
122-868 3
 
4.7%
122-830 3
 
4.7%
122-838 3
 
4.7%
122-807 2
 
3.1%
122-895 2
 
3.1%
122-811 2
 
3.1%
122-852 1
 
1.6%
122-861 1
 
1.6%
Other values (33) 33
51.6%
2023-12-12T14:34:20.403624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 115
29.5%
- 64
16.4%
1 64
16.4%
8 59
15.1%
9 22
 
5.6%
0 21
 
5.4%
3 13
 
3.3%
5 12
 
3.1%
6 8
 
2.1%
7 7
 
1.8%
Other values (2) 5
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 324
83.1%
Dash Punctuation 64
 
16.4%
Space Separator 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 115
35.5%
1 64
19.8%
8 59
18.2%
9 22
 
6.8%
0 21
 
6.5%
3 13
 
4.0%
5 12
 
3.7%
6 8
 
2.5%
7 7
 
2.2%
4 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 390
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 115
29.5%
- 64
16.4%
1 64
16.4%
8 59
15.1%
9 22
 
5.6%
0 21
 
5.4%
3 13
 
3.3%
5 12
 
3.1%
6 8
 
2.1%
7 7
 
1.8%
Other values (2) 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 390
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 115
29.5%
- 64
16.4%
1 64
16.4%
8 59
15.1%
9 22
 
5.6%
0 21
 
5.4%
3 13
 
3.3%
5 12
 
3.1%
6 8
 
2.1%
7 7
 
1.8%
Other values (2) 5
 
1.3%

소재지지번주소
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T14:34:20.719511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.015625
Min length15

Characters and Unicode

Total characters1153
Distinct characters41
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

Unique64 ?
Unique (%)100.0%

Sample

1st row서울시 은평구 녹번동 158-1
2nd row서울시 은평구 녹번동 95-44
3rd row서울시 은평구 녹번동 20-6
4th row서울시 은평구 응암동 85-41
5th row서울시 은평구 응암동 115-25
ValueCountFrequency (%)
서울시 64
25.0%
은평구 64
25.0%
역촌동 6
 
2.3%
갈현동 6
 
2.3%
응암동 6
 
2.3%
구산동 6
 
2.3%
녹번동 6
 
2.3%
신사동 5
 
2.0%
불광동 5
 
2.0%
대조동 4
 
1.6%
Other values (74) 84
32.8%
2023-12-12T14:34:21.295029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
19.2%
구 70
 
6.1%
서 64
 
5.6%
시 64
 
5.6%
은 64
 
5.6%
평 64
 
5.6%
동 64
 
5.6%
울 64
 
5.6%
- 60
 
5.2%
1 58
 
5.0%
Other values (31) 360
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
50.3%
Decimal Number 291
25.2%
Space Separator 221
 
19.2%
Dash Punctuation 60
 
5.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 70
12.1%
서 64
11.0%
시 64
11.0%
은 64
11.0%
평 64
11.0%
동 64
11.0%
울 64
11.0%
응 12
 
2.1%
암 12
 
2.1%
불 11
 
1.9%
Other values (18) 91
15.7%
Decimal Number
ValueCountFrequency (%)
1 58
19.9%
2 51
17.5%
3 40
13.7%
4 36
12.4%
7 25
8.6%
5 24
8.2%
0 21
 
7.2%
6 17
 
5.8%
8 12
 
4.1%
9 7
 
2.4%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
50.3%
Common 573
49.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 70
12.1%
서 64
11.0%
시 64
11.0%
은 64
11.0%
평 64
11.0%
동 64
11.0%
울 64
11.0%
응 12
 
2.1%
암 12
 
2.1%
불 11
 
1.9%
Other values (18) 91
15.7%
Common
ValueCountFrequency (%)
221
38.6%
- 60
 
10.5%
1 58
 
10.1%
2 51
 
8.9%
3 40
 
7.0%
4 36
 
6.3%
7 25
 
4.4%
5 24
 
4.2%
0 21
 
3.7%
6 17
 
3.0%
Other values (3) 20
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
50.3%
ASCII 573
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
38.6%
- 60
 
10.5%
1 58
 
10.1%
2 51
 
8.9%
3 40
 
7.0%
4 36
 
6.3%
7 25
 
4.4%
5 24
 
4.2%
0 21
 
3.7%
6 17
 
3.0%
Other values (3) 20
 
3.5%
Hangul
ValueCountFrequency (%)
구 70
12.1%
서 64
11.0%
시 64
11.0%
은 64
11.0%
평 64
11.0%
동 64
11.0%
울 64
11.0%
응 12
 
2.1%
암 12
 
2.1%
불 11
 
1.9%
Other values (18) 91
15.7%

소재지도로명주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size644.0 B
-
52 
서울시 은평구 은평로13길 35(녹번동)
 
1
서울시 은평구 은평로11길 10 (응암동)
 
1
서울시 은평구 연서로6길 8-1 (역촌동)
 
1
서울시 은평구 갈현로14길 32 (역촌동)
 
1
Other values (8)
8 

Length

Max length28
Median length1
Mean length5.328125
Min length1

Unique

Unique12 ?
Unique (%)18.8%

Sample

1st row서울시 은평구 은평로13길 35(녹번동)
2nd row-
3rd row-
4th row서울시 은평구 은평로11길 10 (응암동)
5th row-

Common Values

ValueCountFrequency (%)
- 52
81.2%
서울시 은평구 은평로13길 35(녹번동) 1
 
1.6%
서울시 은평구 은평로11길 10 (응암동) 1
 
1.6%
서울시 은평구 연서로6길 8-1 (역촌동) 1
 
1.6%
서울시 은평구 갈현로14길 32 (역촌동) 1
 
1.6%
서울시 은평구 연서로10길 20 (역촌동) 1
 
1.6%
서울시 은평구 연서로22길 9-30 (대조동) 1
 
1.6%
서울시 은평구 연서로21길 15 (갈현동) 1
 
1.6%
서울시 은평구 갈현로25길 11-8 (갈현동) 1
 
1.6%
서울시 은평구 연서로37가길 10-12 (불광동) 1
 
1.6%
Other values (3) 3
 
4.7%

Length

2023-12-12T14:34:21.507193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
52
46.8%
은평구 12
 
10.8%
서울시 12
 
10.8%
역촌동 3
 
2.7%
신사동 3
 
2.7%
갈현동 2
 
1.8%
갈현로25길 1
 
0.9%
11-8 1
 
0.9%
연서로37가길 1
 
0.9%
10-12 1
 
0.9%
Other values (23) 23
20.7%

위도
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.60554
Minimum37.579911
Maximum37.626791
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T14:34:21.674032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.579911
5-th percentile37.585422
Q137.595592
median37.605901
Q337.614906
95-th percentile37.625049
Maximum37.626791
Range0.04688
Interquartile range (IQR)0.01931475

Descriptive statistics

Standard deviation0.012430287
Coefficient of variation (CV)0.00033054405
Kurtosis-0.86908264
Mean37.60554
Median Absolute Deviation (MAD)0.0096885
Skewness-0.12737635
Sum2406.7546
Variance0.00015451205
MonotonicityNot monotonic
2023-12-12T14:34:21.900552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.603973 1
 
1.6%
37.601518 1
 
1.6%
37.605954 1
 
1.6%
37.616116 1
 
1.6%
37.618709 1
 
1.6%
37.621404 1
 
1.6%
37.624534 1
 
1.6%
37.626791 1
 
1.6%
37.614968 1
 
1.6%
37.614886 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
37.579911 1
1.6%
37.582994 1
1.6%
37.583268 1
1.6%
37.585195 1
1.6%
37.586711 1
1.6%
37.586731 1
1.6%
37.587111 1
1.6%
37.58887 1
1.6%
37.590721 1
1.6%
37.591562 1
1.6%
ValueCountFrequency (%)
37.626791 1
1.6%
37.626369 1
1.6%
37.625135 1
1.6%
37.625092 1
1.6%
37.624806 1
1.6%
37.624534 1
1.6%
37.623992 1
1.6%
37.621482 1
1.6%
37.621404 1
1.6%
37.618709 1
1.6%

경도
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.91801
Minimum126.89194
Maximum126.93813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T14:34:22.060189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.89194
5-th percentile126.90457
Q1126.91029
median126.91851
Q3126.92604
95-th percentile126.93138
Maximum126.93813
Range0.046185
Interquartile range (IQR)0.01575275

Descriptive statistics

Standard deviation0.0092581444
Coefficient of variation (CV)7.294587 × 10-5
Kurtosis-0.32100657
Mean126.91801
Median Absolute Deviation (MAD)0.0079255
Skewness-0.17795889
Sum8122.7524
Variance8.5713238 × 10-5
MonotonicityNot monotonic
2023-12-12T14:34:22.589929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.923728 1
 
1.6%
126.929762 1
 
1.6%
126.927616 1
 
1.6%
126.930421 1
 
1.6%
126.927067 1
 
1.6%
126.928596 1
 
1.6%
126.923743 1
 
1.6%
126.928717 1
 
1.6%
126.910327 1
 
1.6%
126.907774 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
126.891941 1
1.6%
126.902567 1
1.6%
126.904073 1
1.6%
126.904347 1
1.6%
126.905813 1
1.6%
126.906559 1
1.6%
126.90656 1
1.6%
126.906734 1
1.6%
126.907223 1
1.6%
126.907774 1
1.6%
ValueCountFrequency (%)
126.938126 1
1.6%
126.932051 1
1.6%
126.931945 1
1.6%
126.931455 1
1.6%
126.930922 1
1.6%
126.930421 1
1.6%
126.929777 1
1.6%
126.929762 1
1.6%
126.929362 1
1.6%
126.928717 1
1.6%

Interactions

2023-12-12T14:34:17.869523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:17.186843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:17.492815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:17.960635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:17.284313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:17.604863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:18.055422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:17.380871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:34:17.719092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:34:22.717987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명면적(㎡)소재지우편번호소재지지번주소소재지도로명주소위도경도
시설명1.0001.0001.0001.0001.0001.0001.000
면적(㎡)1.0001.0000.0001.0000.6680.2060.205
소재지우편번호1.0000.0001.0001.0000.9240.9190.951
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0000.6680.9241.0001.0000.0000.151
위도1.0000.2060.9191.0000.0001.0000.359
경도1.0000.2050.9511.0000.1510.3591.000
2023-12-12T14:34:22.871620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(㎡)위도경도소재지도로명주소
면적(㎡)1.000-0.025-0.1940.364
위도-0.0251.0000.3550.000
경도-0.1940.3551.0000.023
소재지도로명주소0.3640.0000.0231.000

Missing values

2023-12-12T14:34:18.211081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:34:18.391042image/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

시설명면적(㎡)관리부서소재지우편번호소재지지번주소소재지도로명주소위도경도
0새록어린이공원956.0공원녹지과(공단-시설운영반)122-834서울시 은평구 녹번동 158-1서울시 은평구 은평로13길 35(녹번동)37.603973126.923728
1호연어린이공원528.0공원녹지과(공단-시설운영반)122-830서울시 은평구 녹번동 95-44-37.605483126.930922
2신록어린이공원469.0공원녹지과(공단-시설운영반)122-825서울시 은평구 녹번동 20-6-37.605114126.938126
3응암어린이공원992.1공원녹지과(공단-시설운영반)122-907서울시 은평구 응암동 85-41서울시 은평구 은평로11길 10 (응암동)37.601679126.923517
4포수동어린이공원987.8공원녹지과(공단-시설운영반)122-910서울시 은평구 응암동 115-25-37.598043126.919446
5응암9구역어린이공원1217.8공원녹지과(공단-시설운영반)122-928서울시 은평구 응암동670-25외16필지-37.586731126.923094
6참다래어린이공원954.4공원녹지과(공단-시설운영반)122-010서울시 은평구 응암동 120-22-37.595367126.917374
7응암4동어린이공원1526.0공원녹지과(공단-시설운영반)122-930서울시 은평구 응암동 742-9-37.583268126.916127
8다래어린이공원584.9공원녹지과(공단-시설운영반)122-952서울시 은평구 응암동 751-22, 23-37.587111126.919033
9시루메어린이공원999.6공원녹지과(공단-시설운영반)122-938서울시 은평구 증산동 185-1-37.582994126.906559
시설명면적(㎡)관리부서소재지우편번호소재지지번주소소재지도로명주소위도경도
54응암3동마을마당518.0공원녹지과(공단-시설운영반)-서울시 은평구 응암3동 337-52-37.58887126.919615
55역촌동마을마당230.0공원녹지과(공단-시설운영반)122-895서울시 은평구 역촌동 2-108-37.60836126.919486
56역촌2동마을마당395.7공원녹지과(공단-시설운영반)122-070서울시 은평구 역촌동 62-21-37.604686126.915235
57신사마을마당203.0공원녹지과(공단-시설운영반)122-888서울시 은평구 신사2동 241-20-37.597018126.906734
58신사2동마을마당175.0공원녹지과(공단-시설운영반)122-888서울시 은평구 신사2동 200-170-37.593894126.908112
59자투리토지신사마을마당236.0공원녹지과(공단-시설운영반)122-890서울시 은평구 신사2동 300-153-37.591562126.902567
60수색마을마당387.0공원녹지과(공단-시설운영반)122-090서울시 은평구 수색동 337-3-37.585195126.891941
61응암2오손길마을마당139.0공원녹지과(공단-시설운영반)-서울시 은평구 응암동 365-30-37.591827126.918252
62신사동공공공지1848.0공원녹지과(공단-시설운영반)122-885서울시 은평구 신사동 163-51-37.590721126.905813
63팜스퀘어옆소공원268.8공원녹지과(공단-시설운영반)122-837서울시 은평구 대조동 240-3-37.609041126.929362