Overview

Dataset statistics

Number of variables8
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory69.7 B

Variable types

Text3
Categorical3
Numeric2

Dataset

Description서울특별시 용산구 실외운동기구현황(공원명, 공원구분, 운동기구설치주소, 위도, 경도, 설치운동기구종류, 관리기관명, 전화번호, 데이터기준일자)에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15080291/fileData.do

Alerts

관리기관명 has constant value ""Constant
공원구분 is highly overall correlated with 전화번호High correlation
전화번호 is highly overall correlated with 공원구분High correlation
전화번호 is highly imbalanced (66.5%)Imbalance
공원명 has unique valuesUnique
운동기구설치주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:49:41.271147
Analysis finished2023-12-12 15:49:42.287857
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T00:49:42.470589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.6666667
Min length5

Characters and Unicode

Total characters240
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row효창근린공원
2nd row응봉근린공원
3rd row신계역사공원
4th row새나라어린이공원
5th row삼각지어린이공원
ValueCountFrequency (%)
효창근린공원 1
 
2.8%
응봉근린공원 1
 
2.8%
비상소공원 1
 
2.8%
한남소공원 1
 
2.8%
독서당소공원 1
 
2.8%
이태원어린이놀이터 1
 
2.8%
이촌소공원 1
 
2.8%
새푸리소공원 1
 
2.8%
강변소공원 1
 
2.8%
청탑소공원 1
 
2.8%
Other values (26) 26
72.2%
2023-12-13T00:49:42.910093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 39
16.2%
공 35
14.6%
이 22
 
9.2%
린 18
 
7.5%
소 17
 
7.1%
어 16
 
6.7%
촌 3
 
1.2%
태 3
 
1.2%
새 3
 
1.2%
님 3
 
1.2%
Other values (63) 81
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 39
16.2%
공 35
14.6%
이 22
 
9.2%
린 18
 
7.5%
소 17
 
7.1%
어 16
 
6.7%
촌 3
 
1.2%
태 3
 
1.2%
새 3
 
1.2%
님 3
 
1.2%
Other values (63) 81
33.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 39
16.2%
공 35
14.6%
이 22
 
9.2%
린 18
 
7.5%
소 17
 
7.1%
어 16
 
6.7%
촌 3
 
1.2%
태 3
 
1.2%
새 3
 
1.2%
님 3
 
1.2%
Other values (63) 81
33.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 39
16.2%
공 35
14.6%
이 22
 
9.2%
린 18
 
7.5%
소 17
 
7.1%
어 16
 
6.7%
촌 3
 
1.2%
태 3
 
1.2%
새 3
 
1.2%
님 3
 
1.2%
Other values (63) 81
33.8%

공원구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
소공원
17 
어린이공원
15 
근린공원
2 
역사공원
 
1
문화공원
 
1

Length

Max length5
Median length4
Mean length3.9444444
Min length3

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row근린공원
2nd row근린공원
3rd row역사공원
4th row어린이공원
5th row어린이공원

Common Values

ValueCountFrequency (%)
소공원 17
47.2%
어린이공원 15
41.7%
근린공원 2
 
5.6%
역사공원 1
 
2.8%
문화공원 1
 
2.8%

Length

2023-12-13T00:49:43.095759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:49:43.239847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소공원 17
47.2%
어린이공원 15
41.7%
근린공원 2
 
5.6%
역사공원 1
 
2.8%
문화공원 1
 
2.8%

운동기구설치주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T00:49:43.451392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.555556
Min length15

Characters and Unicode

Total characters668
Distinct characters42
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 효창동 255
2nd row서울특별시 용산구 한남동 산 8-1
3rd row서울특별시 용산구 신계동 55
4th row서울특별시 용산구 후암동 190-1
5th row서울특별시 용산구 용산동3가 1-96
ValueCountFrequency (%)
서울특별시 36
24.8%
용산구 36
24.8%
이촌동 7
 
4.8%
효창동 4
 
2.8%
문배동 4
 
2.8%
한남동 3
 
2.1%
이태원동 3
 
2.1%
동자동 3
 
2.1%
서계동 2
 
1.4%
15-5 1
 
0.7%
Other values (46) 46
31.7%
2023-12-13T00:49:43.942727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
16.3%
서 38
 
5.7%
산 38
 
5.7%
용 37
 
5.5%
구 36
 
5.4%
울 36
 
5.4%
시 36
 
5.4%
별 36
 
5.4%
특 36
 
5.4%
동 35
 
5.2%
Other values (32) 231
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
60.6%
Decimal Number 131
 
19.6%
Space Separator 109
 
16.3%
Dash Punctuation 23
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 38
9.4%
산 38
9.4%
용 37
9.1%
구 36
8.9%
울 36
8.9%
시 36
8.9%
별 36
8.9%
특 36
8.9%
동 35
8.6%
이 11
 
2.7%
Other values (20) 66
16.3%
Decimal Number
ValueCountFrequency (%)
1 29
22.1%
2 17
13.0%
5 15
11.5%
3 12
9.2%
6 11
 
8.4%
0 11
 
8.4%
4 11
 
8.4%
7 9
 
6.9%
9 8
 
6.1%
8 8
 
6.1%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
60.6%
Common 263
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 38
9.4%
산 38
9.4%
용 37
9.1%
구 36
8.9%
울 36
8.9%
시 36
8.9%
별 36
8.9%
특 36
8.9%
동 35
8.6%
이 11
 
2.7%
Other values (20) 66
16.3%
Common
ValueCountFrequency (%)
109
41.4%
1 29
 
11.0%
- 23
 
8.7%
2 17
 
6.5%
5 15
 
5.7%
3 12
 
4.6%
6 11
 
4.2%
0 11
 
4.2%
4 11
 
4.2%
7 9
 
3.4%
Other values (2) 16
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
60.6%
ASCII 263
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
41.4%
1 29
 
11.0%
- 23
 
8.7%
2 17
 
6.5%
5 15
 
5.7%
3 12
 
4.6%
6 11
 
4.2%
0 11
 
4.2%
4 11
 
4.2%
7 9
 
3.4%
Other values (2) 16
 
6.1%
Hangul
ValueCountFrequency (%)
서 38
9.4%
산 38
9.4%
용 37
9.1%
구 36
8.9%
울 36
8.9%
시 36
8.9%
별 36
8.9%
특 36
8.9%
동 35
8.6%
이 11
 
2.7%
Other values (20) 66
16.3%

위도
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.536873
Minimum37.517662
Maximum37.553546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T00:49:44.121124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.517662
5-th percentile37.518526
Q137.534454
median37.538285
Q337.542985
95-th percentile37.552182
Maximum37.553546
Range0.03588346
Interquartile range (IQR)0.0085310725

Descriptive statistics

Standard deviation0.010352818
Coefficient of variation (CV)0.00027580397
Kurtosis-0.5550312
Mean37.536873
Median Absolute Deviation (MAD)0.00449638
Skewness-0.44297498
Sum1351.3274
Variance0.00010718085
MonotonicityNot monotonic
2023-12-13T00:49:44.278758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
37.54427576 1
 
2.8%
37.54124846 1
 
2.8%
37.53446933 1
 
2.8%
37.53568455 1
 
2.8%
37.51876588 1
 
2.8%
37.5215997 1
 
2.8%
37.52133783 1
 
2.8%
37.52234239 1
 
2.8%
37.5178079 1
 
2.8%
37.52062627 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
37.51766236 1
2.8%
37.5178079 1
2.8%
37.51876588 1
2.8%
37.52062627 1
2.8%
37.52133783 1
2.8%
37.5215997 1
2.8%
37.52234239 1
2.8%
37.52410325 1
2.8%
37.53440608 1
2.8%
37.53446933 1
2.8%
ValueCountFrequency (%)
37.55354582 1
2.8%
37.55256321 1
2.8%
37.55205433 1
2.8%
37.5512847 1
2.8%
37.55008973 1
2.8%
37.54788697 1
2.8%
37.54498748 1
2.8%
37.54427576 1
2.8%
37.54356278 1
2.8%
37.54279186 1
2.8%

경도
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97455
Minimum126.95409
Maximum127.01388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T00:49:44.424498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.95409
5-th percentile126.95672
Q1126.96578
median126.97116
Q3126.97798
95-th percentile127.0071
Maximum127.01388
Range0.0597927
Interquartile range (IQR)0.012199725

Descriptive statistics

Standard deviation0.014447271
Coefficient of variation (CV)0.00011378084
Kurtosis1.5194018
Mean126.97455
Median Absolute Deviation (MAD)0.0065603
Skewness1.2523012
Sum4571.084
Variance0.00020872364
MonotonicityNot monotonic
2023-12-13T00:49:44.549977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
126.9592563 1
 
2.8%
126.9915143 1
 
2.8%
127.0124813 1
 
2.8%
126.9899372 1
 
2.8%
126.9797915 1
 
2.8%
126.967852 1
 
2.8%
126.9750392 1
 
2.8%
126.971394 1
 
2.8%
126.9773724 1
 
2.8%
126.9709198 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
126.9540891 1
2.8%
126.9565593 1
2.8%
126.9567737 1
2.8%
126.9585527 1
2.8%
126.9592563 1
2.8%
126.962514 1
2.8%
126.9635751 1
2.8%
126.9642 1
2.8%
126.9642518 1
2.8%
126.966286 1
2.8%
ValueCountFrequency (%)
127.0138818 1
2.8%
127.0124813 1
2.8%
127.0053039 1
2.8%
126.9915143 1
2.8%
126.9899372 1
2.8%
126.9892426 1
2.8%
126.9890406 1
2.8%
126.9813903 1
2.8%
126.9797915 1
2.8%
126.9773724 1
2.8%

설치운동기구종류
Text

Distinct27
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T00:49:44.704399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.055556
Min length7

Characters and Unicode

Total characters362
Distinct characters54
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

Unique22 ?
Unique (%)61.1%

Sample

1st row하늘걷기 등 21종
2nd row옆파도타기 등 12종
3rd row온몸근육풀기 등 7종
4th row공중걷기 등 9종
5th row마라톤운동 등 6종
ValueCountFrequency (%)
등 32
30.8%
허리돌리기 13
12.5%
3종 7
 
6.7%
4종 6
 
5.8%
마라톤운동 4
 
3.8%
1종 4
 
3.8%
7종 4
 
3.8%
5종 3
 
2.9%
6종 3
 
2.9%
옆파도타기 3
 
2.9%
Other values (18) 25
24.0%
2023-12-13T00:49:44.980538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
18.8%
종 36
 
9.9%
기 35
 
9.7%
등 32
 
8.8%
리 30
 
8.3%
돌 14
 
3.9%
허 13
 
3.6%
3 8
 
2.2%
1 8
 
2.2%
몸 7
 
1.9%
Other values (44) 111
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
70.2%
Space Separator 68
 
18.8%
Decimal Number 40
 
11.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 36
14.2%
기 35
13.8%
등 32
12.6%
리 30
11.8%
돌 14
 
5.5%
허 13
 
5.1%
몸 7
 
2.8%
온 7
 
2.8%
파 4
 
1.6%
동 4
 
1.6%
Other values (33) 72
28.3%
Decimal Number
ValueCountFrequency (%)
3 8
20.0%
1 8
20.0%
4 6
15.0%
7 4
10.0%
5 3
 
7.5%
6 3
 
7.5%
2 3
 
7.5%
9 2
 
5.0%
8 2
 
5.0%
0 1
 
2.5%
Space Separator
ValueCountFrequency (%)
68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
70.2%
Common 108
29.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 36
14.2%
기 35
13.8%
등 32
12.6%
리 30
11.8%
돌 14
 
5.5%
허 13
 
5.1%
몸 7
 
2.8%
온 7
 
2.8%
파 4
 
1.6%
동 4
 
1.6%
Other values (33) 72
28.3%
Common
ValueCountFrequency (%)
68
63.0%
3 8
 
7.4%
1 8
 
7.4%
4 6
 
5.6%
7 4
 
3.7%
5 3
 
2.8%
6 3
 
2.8%
2 3
 
2.8%
9 2
 
1.9%
8 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
70.2%
ASCII 108
29.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
63.0%
3 8
 
7.4%
1 8
 
7.4%
4 6
 
5.6%
7 4
 
3.7%
5 3
 
2.8%
6 3
 
2.8%
2 3
 
2.8%
9 2
 
1.9%
8 2
 
1.9%
Hangul
ValueCountFrequency (%)
종 36
14.2%
기 35
13.8%
등 32
12.6%
리 30
11.8%
돌 14
 
5.5%
허 13
 
5.1%
몸 7
 
2.8%
온 7
 
2.8%
파 4
 
1.6%
동 4
 
1.6%
Other values (33) 72
28.3%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
서울특별시 용산구청 공원녹지과
36 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 용산구청 공원녹지과
2nd row서울특별시 용산구청 공원녹지과
3rd row서울특별시 용산구청 공원녹지과
4th row서울특별시 용산구청 공원녹지과
5th row서울특별시 용산구청 공원녹지과

Common Values

ValueCountFrequency (%)
서울특별시 용산구청 공원녹지과 36
100.0%

Length

2023-12-13T00:49:45.117332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:49:45.215882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 36
33.3%
용산구청 36
33.3%
공원녹지과 36
33.3%

전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
02-2199-7605
32 
02-2199-7603
 
2
02-2199-7593
 
1
02-2199-7594
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row02-2199-7593
2nd row02-2199-7594
3rd row02-2199-7603
4th row02-2199-7605
5th row02-2199-7605

Common Values

ValueCountFrequency (%)
02-2199-7605 32
88.9%
02-2199-7603 2
 
5.6%
02-2199-7593 1
 
2.8%
02-2199-7594 1
 
2.8%

Length

2023-12-13T00:49:45.327499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:49:45.439394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2199-7605 32
88.9%
02-2199-7603 2
 
5.6%
02-2199-7593 1
 
2.8%
02-2199-7594 1
 
2.8%

Interactions

2023-12-13T00:49:41.810952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:49:41.621470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:49:41.916784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:49:41.710135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:49:45.528938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원명공원구분운동기구설치주소위도경도설치운동기구종류전화번호
공원명1.0001.0001.0001.0001.0001.0001.000
공원구분1.0001.0001.0000.5730.4500.9790.823
운동기구설치주소1.0001.0001.0001.0001.0001.0001.000
위도1.0000.5731.0001.0000.4140.9170.345
경도1.0000.4501.0000.4141.0000.8860.697
설치운동기구종류1.0000.9791.0000.9170.8861.0001.000
전화번호1.0000.8231.0000.3450.6971.0001.000
2023-12-13T00:49:45.649411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호공원구분
전화번호1.0000.777
공원구분0.7771.000
2023-12-13T00:49:45.743762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원구분전화번호
위도1.000-0.1330.3720.129
경도-0.1331.0000.2480.483
공원구분0.3720.2481.0000.777
전화번호0.1290.4830.7771.000

Missing values

2023-12-13T00:49:42.065839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:49:42.236065image/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

공원명공원구분운동기구설치주소위도경도설치운동기구종류관리기관명전화번호
0효창근린공원근린공원서울특별시 용산구 효창동 25537.544276126.959256하늘걷기 등 21종서울특별시 용산구청 공원녹지과02-2199-7593
1응봉근린공원근린공원서울특별시 용산구 한남동 산 8-137.544987127.005304옆파도타기 등 12종서울특별시 용산구청 공원녹지과02-2199-7594
2신계역사공원역사공원서울특별시 용산구 신계동 5537.535084126.966286온몸근육풀기 등 7종서울특별시 용산구청 공원녹지과02-2199-7603
3새나라어린이공원어린이공원서울특별시 용산구 후암동 190-137.547887126.976577공중걷기 등 9종서울특별시 용산구청 공원녹지과02-2199-7605
4삼각지어린이공원어린이공원서울특별시 용산구 용산동3가 1-9637.534406126.975392마라톤운동 등 6종서울특별시 용산구청 공원녹지과02-2199-7605
5두텁바위어린이공원어린이공원서울특별시 용산구 동자동 5037.552054126.972944크로스컨트리 등 5종서울특별시 용산구청 공원녹지과02-2199-7605
6늘푸른어린이공원어린이공원서울특별시 용산구 원효로3가 1-13937.534791126.956559양팔줄당기기 등 7종서울특별시 용산구청 공원녹지과02-2199-7605
7청파문화공원문화공원서울특별시 용산구 서계동 226-337.553546126.968317어깨근육풀기 등 13종서울특별시 용산구청 공원녹지과02-2199-7603
8동자어린이공원어린이공원서울특별시 용산구 동자동 24-1137.55009126.973944허리돌리기 등 4종서울특별시 용산구청 공원녹지과02-2199-7605
9소월길어린이공원어린이공원서울특별시 용산구 이태원동 46337.543563126.989243허리돌리기 등 5종서울특별시 용산구청 공원녹지과02-2199-7605
공원명공원구분운동기구설치주소위도경도설치운동기구종류관리기관명전화번호
26비상소공원소공원서울특별시 용산구 이촌동 41737.522342126.971394허리돌리기 1종서울특별시 용산구청 공원녹지과02-2199-7605
27청탑소공원소공원서울특별시 용산구 이촌동 42537.517808126.977372마라톤운동 등 8종서울특별시 용산구청 공원녹지과02-2199-7605
28사촌소공원소공원서울특별시 용산구 이촌동 42937.520626126.97092마라톤운동 등 3종서울특별시 용산구청 공원녹지과02-2199-7605
29달님소공원소공원서울특별시 용산구 문배동 4637.538428126.9696멀티파워 1종서울특별시 용산구청 공원녹지과02-2199-7605
30해님소공원소공원서울특별시 용산구 문배동 4537.539145126.970123허리돌리기 등 3종서울특별시 용산구청 공원녹지과02-2199-7605
31별님소공원소공원서울특별시 용산구 문배동 11-137.538164126.969208허리돌리기 등 4종서울특별시 용산구청 공원녹지과02-2199-7605
32한강대로소공원소공원서울특별시 용산구 한강로3가 65-58737.524103126.963575허리돌리기 등 4종서울특별시 용산구청 공원녹지과02-2199-7605
33이촌한우리소공원소공원서울특별시 용산구 이촌동 301-16437.517662126.98139허리돌리기 등 4종서울특별시 용산구청 공원녹지과02-2199-7605
34녹색소공원소공원서울특별시 용산구 효창동 287-637.53951126.962514온몸역기올리기 등 3종서울특별시 용산구청 공원녹지과02-2199-7605
35우정소공원소공원서울특별시 용산구 효창동 287-237.5404126.9642온몸역기올리기 등 3종서울특별시 용산구청 공원녹지과02-2199-7605