Overview

Dataset statistics

Number of variables7
Number of observations86
Missing cells70
Missing cells (%)11.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory59.5 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description서울특별시 관악구 관내 실외 운동기구(워킹머신, 롤링스웨이드, 허리돌리기, 파도타기, 평행봉, 2단철봉, 오금펴기, 스트레칭벤치, 윗몸일으키기) 설치 현황
URLhttps://www.data.go.kr/data/15080334/fileData.do

Alerts

데이터기준일 has constant value ""Constant
운동기구 총계 is highly overall correlated with 담당부서High correlation
담당부서 is highly overall correlated with 운동기구 총계High correlation
담당부서 is highly imbalanced (90.9%)Imbalance
위치 has 70 (81.4%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:41:14.177802
Analysis finished2023-12-12 13:41:15.544933
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.5
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T22:41:15.634557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.25
Q122.25
median43.5
Q364.75
95-th percentile81.75
Maximum86
Range85
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation24.969982
Coefficient of variation (CV)0.57402257
Kurtosis-1.2
Mean43.5
Median Absolute Deviation (MAD)21.5
Skewness0
Sum3741
Variance623.5
MonotonicityStrictly increasing
2023-12-12T22:41:15.826510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
56 1
 
1.2%
64 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
86 1
1.2%
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%

명칭
Text

Distinct83
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T22:41:16.140801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length8.4186047
Min length3

Characters and Unicode

Total characters724
Distinct characters147
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)93.0%

Sample

1st row도림천
2nd row관악산 야외식물원
3rd row관악산 샘말공원
4th row맨발공원
5th row제2구민운동장
ValueCountFrequency (%)
어린이공원 56
35.4%
근린공원 4
 
2.5%
난향동 2
 
1.3%
뒤 2
 
1.3%
옆 2
 
1.3%
무궁화 2
 
1.3%
소공원 2
 
1.3%
약수 2
 
1.3%
난우 2
 
1.3%
관악산 2
 
1.3%
Other values (82) 82
51.9%
2023-12-12T22:41:16.572900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 81
 
11.2%
공 77
 
10.6%
74
 
10.2%
린 62
 
8.6%
이 57
 
7.9%
어 56
 
7.7%
근 9
 
1.2%
( 8
 
1.1%
산 8
 
1.1%
) 8
 
1.1%
Other values (137) 284
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 622
85.9%
Space Separator 74
 
10.2%
Decimal Number 11
 
1.5%
Open Punctuation 8
 
1.1%
Close Punctuation 8
 
1.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 81
 
13.0%
공 77
 
12.4%
린 62
 
10.0%
이 57
 
9.2%
어 56
 
9.0%
근 9
 
1.4%
산 8
 
1.3%
봉 7
 
1.1%
청 7
 
1.1%
지 7
 
1.1%
Other values (128) 251
40.4%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
2 2
 
18.2%
9 1
 
9.1%
6 1
 
9.1%
8 1
 
9.1%
Space Separator
ValueCountFrequency (%)
74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 622
85.9%
Common 102
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 81
 
13.0%
공 77
 
12.4%
린 62
 
10.0%
이 57
 
9.2%
어 56
 
9.0%
근 9
 
1.4%
산 8
 
1.3%
봉 7
 
1.1%
청 7
 
1.1%
지 7
 
1.1%
Other values (128) 251
40.4%
Common
ValueCountFrequency (%)
74
72.5%
( 8
 
7.8%
) 8
 
7.8%
1 6
 
5.9%
2 2
 
2.0%
9 1
 
1.0%
6 1
 
1.0%
- 1
 
1.0%
8 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 622
85.9%
ASCII 102
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 81
 
13.0%
공 77
 
12.4%
린 62
 
10.0%
이 57
 
9.2%
어 56
 
9.0%
근 9
 
1.4%
산 8
 
1.3%
봉 7
 
1.1%
청 7
 
1.1%
지 7
 
1.1%
Other values (128) 251
40.4%
ASCII
ValueCountFrequency (%)
74
72.5%
( 8
 
7.8%
) 8
 
7.8%
1 6
 
5.9%
2 2
 
2.0%
9 1
 
1.0%
6 1
 
1.0%
- 1
 
1.0%
8 1
 
1.0%

설치기구종류
Text

Distinct84
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T22:41:16.815930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length227
Median length55.5
Mean length33.151163
Min length3

Characters and Unicode

Total characters2851
Distinct characters149
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)95.3%

Sample

1st row큰활차(1)+등허리지압기(3)+윗몸일으키기(4)+허리돌리기(3)+양팔줄당기기(2)+역기올리기(4)+공중걷기(2)+마라톤(4)+철봉(1)+평행봉(3)+헬스핀(4)+공중걷기+허리돌리기(1)+트윈트위스트(2)+크로스컨트리(2)+롤링웨이스트(2)+워밍암(3)+자유평행봉(1)+매달리기(2)+역기내리기(2)+오금펴기(1)+스트레칭로라(2)+2인골반운동(1)+허리돌리기+등허리지압기(2)+워킹머신(1)+옆파도타기(1)
2nd row등허리운동+뱃살운동+다리운동+허리운동+노젓기운동+괄약근운동+양다리운동+옆회전운동+평행봉
3rd row양다리운동+옆회전운동+원그리기운동+허리운동+노젓기운동+마라톤운동+팔올리기운동+하체단련기+팔내리기+허벅지운동+다리운동
4th row원그리기운동+팔내리기운동+옆회전운동+허리돌리기+역기+윗몸일으키기+평행봉+ 철봉+달리기운동+등허리지압기+스윙워커머신
5th row원그리기운동+허리운동+옆회전운동+양다리운동+팔올리기운동+노젓기운동+뱃살운동
ValueCountFrequency (%)
허리돌리기 4
 
3.8%
하늘걷기+허리돌리기+싸이드 2
 
1.9%
싸이드 2
 
1.9%
전신하늘걷기 2
 
1.9%
달리기 2
 
1.9%
다리뻗치기+허리돌리기 2
 
1.9%
원그리기운동+허리운동+옆회전운동+양다리운동+팔올리기운동+노젓기운동+뱃살운동 1
 
0.9%
파도타기 1
 
0.9%
하늘걷기+터닝암+역기올리기+허리돌리기 1
 
0.9%
하늘걷기+역기올리기+터닝암 1
 
0.9%
Other values (88) 88
83.0%
2023-12-12T22:41:17.487795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 441
 
15.5%
기 367
 
12.9%
리 261
 
9.2%
허 87
 
3.1%
동 72
 
2.5%
운 72
 
2.5%
돌 65
 
2.3%
걷 60
 
2.1%
하 42
 
1.5%
이 39
 
1.4%
Other values (139) 1345
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2309
81.0%
Math Symbol 441
 
15.5%
Decimal Number 29
 
1.0%
Close Punctuation 26
 
0.9%
Open Punctuation 26
 
0.9%
Space Separator 20
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 367
 
15.9%
리 261
 
11.3%
허 87
 
3.8%
동 72
 
3.1%
운 72
 
3.1%
돌 65
 
2.8%
걷 60
 
2.6%
하 42
 
1.8%
이 39
 
1.7%
역 38
 
1.6%
Other values (131) 1206
52.2%
Decimal Number
ValueCountFrequency (%)
2 12
41.4%
1 8
27.6%
3 5
17.2%
4 4
 
13.8%
Math Symbol
ValueCountFrequency (%)
+ 441
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2309
81.0%
Common 542
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 367
 
15.9%
리 261
 
11.3%
허 87
 
3.8%
동 72
 
3.1%
운 72
 
3.1%
돌 65
 
2.8%
걷 60
 
2.6%
하 42
 
1.8%
이 39
 
1.7%
역 38
 
1.6%
Other values (131) 1206
52.2%
Common
ValueCountFrequency (%)
+ 441
81.4%
) 26
 
4.8%
( 26
 
4.8%
20
 
3.7%
2 12
 
2.2%
1 8
 
1.5%
3 5
 
0.9%
4 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2309
81.0%
ASCII 542
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 441
81.4%
) 26
 
4.8%
( 26
 
4.8%
20
 
3.7%
2 12
 
2.2%
1 8
 
1.5%
3 5
 
0.9%
4 4
 
0.7%
Hangul
ValueCountFrequency (%)
기 367
 
15.9%
리 261
 
11.3%
허 87
 
3.8%
동 72
 
3.1%
운 72
 
3.1%
돌 65
 
2.8%
걷 60
 
2.6%
하 42
 
1.8%
이 39
 
1.7%
역 38
 
1.6%
Other values (131) 1206
52.2%

위치
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing70
Missing (%)81.4%
Memory size820.0 B
2023-12-12T22:41:17.679025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length12
Mean length11.9375
Min length6

Characters and Unicode

Total characters191
Distinct characters61
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row신림동 808-126 ~ 구로교(구로디지털단지역)+(관악구 6.7km 관리)
2nd row신림동 205-1
3rd row대학20길 9
4th row신림동 산 27-5
5th row신림동 58-8
ValueCountFrequency (%)
신림동 8
 
19.0%
산 5
 
11.9%
난우16길 1
 
2.4%
미성동 1
 
2.4%
국사봉 1
 
2.4%
68 1
 
2.4%
난향7길 1
 
2.4%
뒤편 1
 
2.4%
봉림중 1
 
2.4%
산66-1 1
 
2.4%
Other values (21) 21
50.0%
2023-12-12T22:41:18.031159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
15.2%
1 12
 
6.3%
- 10
 
5.2%
동 10
 
5.2%
림 10
 
5.2%
신 9
 
4.7%
2 8
 
4.2%
산 7
 
3.7%
6 6
 
3.1%
8 6
 
3.1%
Other values (51) 84
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
46.6%
Decimal Number 54
28.3%
Space Separator 29
 
15.2%
Dash Punctuation 10
 
5.2%
Close Punctuation 2
 
1.0%
Open Punctuation 2
 
1.0%
Math Symbol 2
 
1.0%
Lowercase Letter 2
 
1.0%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10
 
11.2%
림 10
 
11.2%
신 9
 
10.1%
산 7
 
7.9%
대 3
 
3.4%
구 3
 
3.4%
관 3
 
3.4%
길 3
 
3.4%
육 2
 
2.2%
지 2
 
2.2%
Other values (32) 37
41.6%
Decimal Number
ValueCountFrequency (%)
1 12
22.2%
2 8
14.8%
6 6
11.1%
8 6
11.1%
0 5
9.3%
5 5
9.3%
7 5
9.3%
4 3
 
5.6%
9 2
 
3.7%
3 2
 
3.7%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100
52.4%
Hangul 89
46.6%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10
 
11.2%
림 10
 
11.2%
신 9
 
10.1%
산 7
 
7.9%
대 3
 
3.4%
구 3
 
3.4%
관 3
 
3.4%
길 3
 
3.4%
육 2
 
2.2%
지 2
 
2.2%
Other values (32) 37
41.6%
Common
ValueCountFrequency (%)
29
29.0%
1 12
12.0%
- 10
 
10.0%
2 8
 
8.0%
6 6
 
6.0%
8 6
 
6.0%
0 5
 
5.0%
5 5
 
5.0%
7 5
 
5.0%
4 3
 
3.0%
Other values (7) 11
 
11.0%
Latin
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 102
53.4%
Hangul 89
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
28.4%
1 12
11.8%
- 10
 
9.8%
2 8
 
7.8%
6 6
 
5.9%
8 6
 
5.9%
0 5
 
4.9%
5 5
 
4.9%
7 5
 
4.9%
4 3
 
2.9%
Other values (9) 13
12.7%
Hangul
ValueCountFrequency (%)
동 10
 
11.2%
림 10
 
11.2%
신 9
 
10.1%
산 7
 
7.9%
대 3
 
3.4%
구 3
 
3.4%
관 3
 
3.4%
길 3
 
3.4%
육 2
 
2.2%
지 2
 
2.2%
Other values (32) 37
41.6%

운동기구 총계
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6860465
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T22:41:18.164064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile26.5
Maximum57
Range56
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.85548
Coefficient of variation (CV)1.412362
Kurtosis13.056888
Mean7.6860465
Median Absolute Deviation (MAD)1
Skewness3.584183
Sum661
Variance117.84145
MonotonicityNot monotonic
2023-12-12T22:41:18.273657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3 22
25.6%
4 15
17.4%
5 12
14.0%
6 8
 
9.3%
2 4
 
4.7%
7 4
 
4.7%
1 4
 
4.7%
9 3
 
3.5%
14 2
 
2.3%
13 2
 
2.3%
Other values (9) 10
11.6%
ValueCountFrequency (%)
1 4
 
4.7%
2 4
 
4.7%
3 22
25.6%
4 15
17.4%
5 12
14.0%
6 8
 
9.3%
7 4
 
4.7%
8 1
 
1.2%
9 3
 
3.5%
11 1
 
1.2%
ValueCountFrequency (%)
57 2
2.3%
54 1
1.2%
40 1
1.2%
29 1
1.2%
19 1
1.2%
16 1
1.2%
15 1
1.2%
14 2
2.3%
13 2
2.3%
11 1
1.2%

담당부서
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
공원녹지과
85 
치수과
 
1

Length

Max length5
Median length5
Mean length4.9767442
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row치수과
2nd row공원녹지과
3rd row공원녹지과
4th row공원녹지과
5th row공원녹지과

Common Values

ValueCountFrequency (%)
공원녹지과 85
98.8%
치수과 1
 
1.2%

Length

2023-12-12T22:41:18.432927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:41:18.547066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원녹지과 85
98.8%
치수과 1
 
1.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-05-03
86 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-03
2nd row2023-05-03
3rd row2023-05-03
4th row2023-05-03
5th row2023-05-03

Common Values

ValueCountFrequency (%)
2023-05-03 86
100.0%

Length

2023-12-12T22:41:18.678426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:41:18.785784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-03 86
100.0%

Interactions

2023-12-12T22:41:15.059330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:14.881158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:15.180067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:14.974755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:41:18.867748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호명칭설치기구종류위치운동기구 총계담당부서
번호1.0000.8310.8621.0000.3860.000
명칭0.8311.0000.9891.0001.0001.000
설치기구종류0.8620.9891.0001.0001.0001.000
위치1.0001.0001.0001.0001.0001.000
운동기구 총계0.3861.0001.0001.0001.0000.489
담당부서0.0001.0001.0001.0000.4891.000
2023-12-12T22:41:18.982973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운동기구 총계담당부서
번호1.000-0.4440.000
운동기구 총계-0.4441.0000.508
담당부서0.0000.5081.000

Missing values

2023-12-12T22:41:15.367046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:41:15.500513image/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

번호명칭설치기구종류위치운동기구 총계담당부서데이터기준일
01도림천큰활차(1)+등허리지압기(3)+윗몸일으키기(4)+허리돌리기(3)+양팔줄당기기(2)+역기올리기(4)+공중걷기(2)+마라톤(4)+철봉(1)+평행봉(3)+헬스핀(4)+공중걷기+허리돌리기(1)+트윈트위스트(2)+크로스컨트리(2)+롤링웨이스트(2)+워밍암(3)+자유평행봉(1)+매달리기(2)+역기내리기(2)+오금펴기(1)+스트레칭로라(2)+2인골반운동(1)+허리돌리기+등허리지압기(2)+워킹머신(1)+옆파도타기(1)신림동 808-126 ~ 구로교(구로디지털단지역)+(관악구 6.7km 관리)54치수과2023-05-03
12관악산 야외식물원등허리운동+뱃살운동+다리운동+허리운동+노젓기운동+괄약근운동+양다리운동+옆회전운동+평행봉신림동 205-19공원녹지과2023-05-03
23관악산 샘말공원양다리운동+옆회전운동+원그리기운동+허리운동+노젓기운동+마라톤운동+팔올리기운동+하체단련기+팔내리기+허벅지운동+다리운동대학20길 911공원녹지과2023-05-03
34맨발공원원그리기운동+팔내리기운동+옆회전운동+허리돌리기+역기+윗몸일으키기+평행봉+ 철봉+달리기운동+등허리지압기+스윙워커머신신림동 산 27-514공원녹지과2023-05-03
45제2구민운동장원그리기운동+허리운동+옆회전운동+양다리운동+팔올리기운동+노젓기운동+뱃살운동신림동 58-87공원녹지과2023-05-03
56신림2-1배수지철봉+역기+평행봉+자전거+오금펴기+원그리기+양회전+파도타기+달리기+등허리지압+허리돌리기+윗몸일으키기+노젓기+역기내리기+양팔줄당기기+허리돌리기<NA>13공원녹지과2023-05-03
67봉천11배수지공원(놀이터부근)파도타기+등허리지압기+양다리운동+원그리기운동+팔올리기+허리운동<NA>6공원녹지과2023-05-03
78봉천11배수지공원(배드민턴장부근)크로스컨트리+워밍암+롤링웨이트+윗몸일으키기+평행봉+2단철봉<NA>6공원녹지과2023-05-03
89신림6배수지공원윗몸일으키기+역기+철봉+평행봉+허리돌리기+원그리기운동+허리운동+팔내리기운동+양다리운동+옆회전운동+뱃살운동+팔올리기운동+노젓기운동+오금펴기운동+등허리지압기+양회전운동+괄약근운동+공중걷기+거꾸로매달리기+골반운동<NA>29공원녹지과2023-05-03
910선우공원다리벌리기+스트레칭벤치+허리펴기+오금펴기+역기올리기+등펴기+달리기+공중걷기+윗몸일으키기+평행봉+허리돌리기+노젓기운동+원그리기운동+옆회전운동+역기운동+공중걷기+양팔줄당기기+파도타기신림동 산 117-2819공원녹지과2023-05-03
번호명칭설치기구종류위치운동기구 총계담당부서데이터기준일
7677비안 어린이공원하늘걷기+터닝암+온몸역기올리기+허리돌리기<NA>4공원녹지과2023-05-03
7778용담 어린이공원허리돌리기<NA>1공원녹지과2023-05-03
7879영락 어린이공원온몸역기올리기<NA>1공원녹지과2023-05-03
7980으뜸 어린이공원터닝암+스텝싸이클+등허리지압기+상체원그리기+온몸역기올리기<NA>5공원녹지과2023-05-03
8081까치 어린이공원미끄럼틀+그네+시소+흔들이+터닝암+하늘걷기+온몸역기올리기+허리돌리기+상체원그리기<NA>9공원녹지과2023-05-03
8182장미 어린이공원스탭싸이클+미끄럼틀+암벽타기+허리돌리기<NA>4공원녹지과2023-05-03
8283모래내 어린이공원미끄럼틀+그네+흔들이+윗몸일으키기+하늘걷기+평행봉+온몸역기올리기<NA>7공원녹지과2023-05-03
8384약수 어린이공원미끄럼틀+흔들이<NA>2공원녹지과2023-05-03
8485백설 어린이공원미끄럼틀+그네+다리들기+허리돌리기+터닝암<NA>5공원녹지과2023-05-03
8586탑골 어린이공원미끄럼틀+흔들이+제자리걷기+허리돌리기+상체원돌리기<NA>5공원녹지과2023-05-03