Overview

Dataset statistics

Number of variables5
Number of observations494
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory40.3 B

Variable types

Text3
Categorical2

Dataset

Description김해시장이 설치하여 관리하는 야외운동기구 현황 자료이며, 야외운동기구의 소재지, 기구 종류, 수량, 담당부서 등의 데이터를 표시합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15104705/fileData.do

Reproduction

Analysis started2023-12-12 03:03:25.321853
Analysis finished2023-12-12 03:03:26.070705
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct458
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T12:03:26.301893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.4554656
Min length3

Characters and Unicode

Total characters3189
Distinct characters287
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique435 ?
Unique (%)88.1%

Sample

1st row안동체육공원
2nd row어방체육공원
3rd row분성체육공원
4th row임호체육공원
5th row임호체육공원(쌍용)
ValueCountFrequency (%)
쉼터 41
 
6.9%
해반천 10
 
1.7%
9
 
1.5%
진례 6
 
1.0%
마을쉼터 5
 
0.8%
어방녹지대 4
 
0.7%
한림3구마을회관 3
 
0.5%
본산마을 3
 
0.5%
삼방경관녹지 3
 
0.5%
소공원 3
 
0.5%
Other values (480) 510
85.4%
2023-12-12T12:03:26.790010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
7.0%
221
 
6.9%
196
 
6.1%
192
 
6.0%
108
 
3.4%
94
 
2.9%
83
 
2.6%
82
 
2.6%
82
 
2.6%
65
 
2.0%
Other values (277) 1842
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2845
89.2%
Decimal Number 134
 
4.2%
Space Separator 108
 
3.4%
Close Punctuation 33
 
1.0%
Open Punctuation 33
 
1.0%
Uppercase Letter 33
 
1.0%
Math Symbol 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
224
 
7.9%
221
 
7.8%
196
 
6.9%
192
 
6.7%
94
 
3.3%
83
 
2.9%
82
 
2.9%
82
 
2.9%
65
 
2.3%
64
 
2.2%
Other values (259) 1542
54.2%
Decimal Number
ValueCountFrequency (%)
1 33
24.6%
2 32
23.9%
0 27
20.1%
3 14
10.4%
4 9
 
6.7%
5 7
 
5.2%
7 4
 
3.0%
9 4
 
3.0%
6 2
 
1.5%
8 2
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
P 27
81.8%
A 3
 
9.1%
B 3
 
9.1%
Space Separator
ValueCountFrequency (%)
108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2845
89.2%
Common 311
 
9.8%
Latin 33
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
224
 
7.9%
221
 
7.8%
196
 
6.9%
192
 
6.7%
94
 
3.3%
83
 
2.9%
82
 
2.9%
82
 
2.9%
65
 
2.3%
64
 
2.2%
Other values (259) 1542
54.2%
Common
ValueCountFrequency (%)
108
34.7%
) 33
 
10.6%
( 33
 
10.6%
1 33
 
10.6%
2 32
 
10.3%
0 27
 
8.7%
3 14
 
4.5%
4 9
 
2.9%
5 7
 
2.3%
7 4
 
1.3%
Other values (5) 11
 
3.5%
Latin
ValueCountFrequency (%)
P 27
81.8%
A 3
 
9.1%
B 3
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2845
89.2%
ASCII 344
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
224
 
7.9%
221
 
7.8%
196
 
6.9%
192
 
6.7%
94
 
3.3%
83
 
2.9%
82
 
2.9%
82
 
2.9%
65
 
2.3%
64
 
2.2%
Other values (259) 1542
54.2%
ASCII
ValueCountFrequency (%)
108
31.4%
) 33
 
9.6%
( 33
 
9.6%
1 33
 
9.6%
2 32
 
9.3%
0 27
 
7.8%
P 27
 
7.8%
3 14
 
4.1%
4 9
 
2.6%
5 7
 
2.0%
Other values (8) 21
 
6.1%

주소
Text

Distinct482
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T12:03:27.086028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length20.690283
Min length12

Characters and Unicode

Total characters10221
Distinct characters207
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

Unique472 ?
Unique (%)95.5%

Sample

1st row경상남도 김해시 삼안로112번길 20-61 (안동)
2nd row경상남도 김해시 어방동 653
3rd row경상남도 김해시 동상동 분성산 일원
4th row경상남도 김해시 금관대로1134번길 4 (외동)
5th row경상남도 김해시 금관대로1134번길 4 (외동)
ValueCountFrequency (%)
경상남도 494
21.9%
김해시 494
21.9%
한림면 66
 
2.9%
진례면 35
 
1.6%
일원 29
 
1.3%
대동면 27
 
1.2%
생림면 24
 
1.1%
상동면 18
 
0.8%
삼방동 18
 
0.8%
부곡동 17
 
0.8%
Other values (663) 1033
45.8%
2023-12-12T12:03:27.505384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1778
17.4%
529
 
5.2%
502
 
4.9%
499
 
4.9%
498
 
4.9%
498
 
4.9%
497
 
4.9%
497
 
4.9%
1 475
 
4.6%
323
 
3.2%
Other values (197) 4125
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6101
59.7%
Decimal Number 1944
 
19.0%
Space Separator 1778
 
17.4%
Dash Punctuation 316
 
3.1%
Math Symbol 27
 
0.3%
Close Punctuation 24
 
0.2%
Open Punctuation 24
 
0.2%
Other Punctuation 5
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
529
 
8.7%
502
 
8.2%
499
 
8.2%
498
 
8.2%
498
 
8.2%
497
 
8.1%
497
 
8.1%
323
 
5.3%
192
 
3.1%
188
 
3.1%
Other values (179) 1878
30.8%
Decimal Number
ValueCountFrequency (%)
1 475
24.4%
2 245
12.6%
3 195
10.0%
4 190
 
9.8%
5 169
 
8.7%
6 154
 
7.9%
7 148
 
7.6%
0 147
 
7.6%
8 112
 
5.8%
9 109
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
1778
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 316
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6101
59.7%
Common 4118
40.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
529
 
8.7%
502
 
8.2%
499
 
8.2%
498
 
8.2%
498
 
8.2%
497
 
8.1%
497
 
8.1%
323
 
5.3%
192
 
3.1%
188
 
3.1%
Other values (179) 1878
30.8%
Common
ValueCountFrequency (%)
1778
43.2%
1 475
 
11.5%
- 316
 
7.7%
2 245
 
5.9%
3 195
 
4.7%
4 190
 
4.6%
5 169
 
4.1%
6 154
 
3.7%
7 148
 
3.6%
0 147
 
3.6%
Other values (6) 301
 
7.3%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6101
59.7%
ASCII 4120
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1778
43.2%
1 475
 
11.5%
- 316
 
7.7%
2 245
 
5.9%
3 195
 
4.7%
4 190
 
4.6%
5 169
 
4.1%
6 154
 
3.7%
7 148
 
3.6%
0 147
 
3.6%
Other values (8) 303
 
7.4%
Hangul
ValueCountFrequency (%)
529
 
8.7%
502
 
8.2%
499
 
8.2%
498
 
8.2%
498
 
8.2%
497
 
8.1%
497
 
8.1%
323
 
5.3%
192
 
3.1%
188
 
3.1%
Other values (179) 1878
30.8%

기구수량
Categorical

Distinct26
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3
151 
2
79 
4
73 
5
51 
6
36 
Other values (21)
104 

Length

Max length2
Median length1
Mean length1.0890688
Min length1

Unique

Unique7 ?
Unique (%)1.4%

Sample

1st row14
2nd row13
3rd row12
4th row7
5th row13

Common Values

ValueCountFrequency (%)
3 151
30.6%
2 79
16.0%
4 73
14.8%
5 51
 
10.3%
6 36
 
7.3%
8 20
 
4.0%
7 16
 
3.2%
1 14
 
2.8%
9 8
 
1.6%
12 7
 
1.4%
Other values (16) 39
 
7.9%

Length

2023-12-12T12:03:27.669714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3 151
30.6%
2 79
16.0%
4 73
14.8%
5 51
 
10.3%
6 36
 
7.3%
8 20
 
4.0%
7 16
 
3.2%
1 14
 
2.8%
9 8
 
1.6%
12 7
 
1.4%
Other values (16) 39
 
7.9%
Distinct455
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T12:03:27.955852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length215
Median length91
Mean length40.819838
Min length6

Characters and Unicode

Total characters20165
Distinct characters222
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique434 ?
Unique (%)87.9%

Sample

1st row가로하늘타기(1)+다리뻗치기(3)+앉아밀기(1)+온몸허리돌리기(3)+윗몸일으키기(2)+하늘걷기(4)
2nd row가로하늘타기(1)+구름다리(1)+다리걸이운동(1)+다리뻗치기(1)+철봉(1)+체조링(1)+팔굽혀펴기(1)+평행봉(1)+하늘걷기(1)+허리돌리기(2)+달리기+윗몸일으키기(1)+하늘걷기+어깨운동(1)
3rd row가로타기(2)+달리기(1)+양팔줄당기기(1)+어깨운동(1)+역기당기기(1)+역기밀기(1)+온몸노젖기(1)+하늘걷기(2)+허리돌리기(2)
4th row다리뻗치기(1)+마라톤달리기(1)+양팔줄당기기(1)+역기내리기(1)+옆파도타기(1)+하늘걷기(1)+허리돌리기(1)
5th row양팔줄당기기(1)+역기들기(1)+스텝터(1)+허리돌리기(1)+역기당기기(1)+가로타기(1)+허리맛사지(2)+팔운동(1)+달리기(1)+온몸노젓기(1)+어깨운동(1)+윗몸일으키기(1)
ValueCountFrequency (%)
하늘걷기+허리돌리기(1)+가로타기+팔관절(1 9
 
1.7%
크로스컨트리(1)+롤링웨이스트(1)+터닝트위스트(1 4
 
0.7%
좌식싸이클(1)+벨트마사지기(1 4
 
0.7%
허리돌리기+하늘걷기(1)+달리기+팔관절(1)+자전거+가로타기(1 4
 
0.7%
윗몸일으키기(1)+가로타기(1)+허리돌리기(1 3
 
0.6%
갯수:5 3
 
0.6%
허리돌리기(1 3
 
0.6%
1 3
 
0.6%
달리기+하늘걷기+양팔줄당기기*2+허리돌리기+팔관절운동 3
 
0.6%
하늘걷기(2)+허리돌리기(2 3
 
0.6%
Other values (478) 499
92.8%
2023-12-12T12:03:28.626242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2399
 
11.9%
+ 2204
 
10.9%
) 1760
 
8.7%
( 1758
 
8.7%
1 1347
 
6.7%
1246
 
6.2%
450
 
2.2%
436
 
2.2%
2 403
 
2.0%
338
 
1.7%
Other values (212) 7824
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12498
62.0%
Math Symbol 2204
 
10.9%
Decimal Number 1846
 
9.2%
Close Punctuation 1760
 
8.7%
Open Punctuation 1758
 
8.7%
Space Separator 55
 
0.3%
Other Punctuation 41
 
0.2%
Uppercase Letter 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2399
 
19.2%
1246
 
10.0%
450
 
3.6%
436
 
3.5%
338
 
2.7%
331
 
2.6%
326
 
2.6%
297
 
2.4%
283
 
2.3%
263
 
2.1%
Other values (192) 6129
49.0%
Decimal Number
ValueCountFrequency (%)
1 1347
73.0%
2 403
 
21.8%
3 62
 
3.4%
5 15
 
0.8%
0 7
 
0.4%
4 7
 
0.4%
6 3
 
0.2%
9 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 15
36.6%
: 11
26.8%
· 9
22.0%
* 3
 
7.3%
/ 3
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
V 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 2204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1758
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12498
62.0%
Common 7665
38.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2399
 
19.2%
1246
 
10.0%
450
 
3.6%
436
 
3.5%
338
 
2.7%
331
 
2.6%
326
 
2.6%
297
 
2.4%
283
 
2.3%
263
 
2.1%
Other values (192) 6129
49.0%
Common
ValueCountFrequency (%)
+ 2204
28.8%
) 1760
23.0%
( 1758
22.9%
1 1347
17.6%
2 403
 
5.3%
3 62
 
0.8%
55
 
0.7%
5 15
 
0.2%
. 15
 
0.2%
: 11
 
0.1%
Other values (8) 35
 
0.5%
Latin
ValueCountFrequency (%)
T 1
50.0%
V 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12496
62.0%
ASCII 7658
38.0%
None 9
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2399
 
19.2%
1246
 
10.0%
450
 
3.6%
436
 
3.5%
338
 
2.7%
331
 
2.6%
326
 
2.6%
297
 
2.4%
283
 
2.3%
263
 
2.1%
Other values (190) 6127
49.0%
ASCII
ValueCountFrequency (%)
+ 2204
28.8%
) 1760
23.0%
( 1758
23.0%
1 1347
17.6%
2 403
 
5.3%
3 62
 
0.8%
55
 
0.7%
5 15
 
0.2%
. 15
 
0.2%
: 11
 
0.1%
Other values (9) 28
 
0.4%
None
ValueCountFrequency (%)
· 9
100.0%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%

담당부서
Categorical

Distinct17
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
공원녹지과
249 
한림면
47 
생활지원과
37 
하천과
32 
진례면
31 
Other values (12)
98 

Length

Max length14
Median length5
Mean length4.388664
Min length3

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row도시개발공사 체육시설관리팀
2nd row도시개발공사 체육시설관리팀
3rd row도시개발공사 체육시설관리팀
4th row도시개발공사 체육시설관리팀
5th row도시개발공사 체육시설관리팀

Common Values

ValueCountFrequency (%)
공원녹지과 249
50.4%
한림면 47
 
9.5%
생활지원과 37
 
7.5%
하천과 32
 
6.5%
진례면 31
 
6.3%
산림과 30
 
6.1%
진영읍 17
 
3.4%
대동면 14
 
2.8%
도시개발공사 체육시설관리팀 10
 
2.0%
생림면 7
 
1.4%
Other values (7) 20
 
4.0%

Length

2023-12-12T12:03:28.860188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공원녹지과 249
49.4%
한림면 47
 
9.3%
생활지원과 37
 
7.3%
하천과 32
 
6.3%
진례면 31
 
6.2%
산림과 30
 
6.0%
진영읍 17
 
3.4%
대동면 14
 
2.8%
체육시설관리팀 10
 
2.0%
도시개발공사 10
 
2.0%
Other values (8) 27
 
5.4%

Correlations

2023-12-12T12:03:28.956974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기구수량담당부서
기구수량1.0000.564
담당부서0.5641.000
2023-12-12T12:03:29.076562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기구수량담당부서
기구수량1.0000.193
담당부서0.1931.000
2023-12-12T12:03:29.198250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기구수량담당부서
기구수량1.0000.193
담당부서0.1931.000

Missing values

2023-12-12T12:03:25.863494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:03:26.017572image/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

시설명주소기구수량기구현황담당부서
0안동체육공원경상남도 김해시 삼안로112번길 20-61 (안동)14가로하늘타기(1)+다리뻗치기(3)+앉아밀기(1)+온몸허리돌리기(3)+윗몸일으키기(2)+하늘걷기(4)도시개발공사 체육시설관리팀
1어방체육공원경상남도 김해시 어방동 65313가로하늘타기(1)+구름다리(1)+다리걸이운동(1)+다리뻗치기(1)+철봉(1)+체조링(1)+팔굽혀펴기(1)+평행봉(1)+하늘걷기(1)+허리돌리기(2)+달리기+윗몸일으키기(1)+하늘걷기+어깨운동(1)도시개발공사 체육시설관리팀
2분성체육공원경상남도 김해시 동상동 분성산 일원12가로타기(2)+달리기(1)+양팔줄당기기(1)+어깨운동(1)+역기당기기(1)+역기밀기(1)+온몸노젖기(1)+하늘걷기(2)+허리돌리기(2)도시개발공사 체육시설관리팀
3임호체육공원경상남도 김해시 금관대로1134번길 4 (외동)7다리뻗치기(1)+마라톤달리기(1)+양팔줄당기기(1)+역기내리기(1)+옆파도타기(1)+하늘걷기(1)+허리돌리기(1)도시개발공사 체육시설관리팀
4임호체육공원(쌍용)경상남도 김해시 금관대로1134번길 4 (외동)13양팔줄당기기(1)+역기들기(1)+스텝터(1)+허리돌리기(1)+역기당기기(1)+가로타기(1)+허리맛사지(2)+팔운동(1)+달리기(1)+온몸노젓기(1)+어깨운동(1)+윗몸일으키기(1)도시개발공사 체육시설관리팀
5장유체육공원경상남도 김해시 대청로 345길 (부곡동)8가로타기(2)+달리기(1)+양팔줄당기기(2)+자전거타기(1)+하늘걷기(1)+허리돌리기(1)도시개발공사 체육시설관리팀
6하키경기장경상남도 김해시 인제로284번길 15-90 (삼방동)7가로하늘타기(1)+달리기(1)+복근기르기(1)+앉아당기기(1)+팔관절운동(1)+하늘걷기(1)+허리돌리기(1)도시개발공사 체육시설관리팀
7시민체육공원경상남도 김해시 가야로 245 (구산동)2달리기+허리돌리기(1)+어깨돌리기+하늘걷기(1)도시개발공사 체육시설관리팀
8시민체육공원(사격장)경상남도 김해시 가야로 245 (구산동)10나무오르기(2)+다리걸기(2)+윗몸일으키기(1)+철봉(1)+팔굽혀펴기(2)+허리돌리기(2)도시개발공사 체육시설관리팀
9시민체육공원(암벽장)경상남도 김해시 가야로 245 (구산동)10나무오르기(2)+다리걸기(2)+윗몸일으키기(1)+철봉(1)+팔굽혀펴기(2)+평행봉(1)+허리돌리기(1)도시개발공사 체육시설관리팀
시설명주소기구수량기구현황담당부서
484천문대일원경상남도 김해시 삼계동 산지번 2-15윗몸일으키기(1)+공중걷기(1)+철봉(1)+허리돌리기(1)+역기당기기(1)북부동
485새동네공원경상남도 김해시 구산동 2812어깨근육풀기(1)+하늘걷기(1)북부동
486신어천변경상남도 김해시 신어천변8거꾸리(1)+2인용체어풀(1)+달리기(1)+체스트프레스(1)+입식헬스싸이클및공중걷기(1)+레그프레스(1)+온몸근육풀기및양팔줄당기기(1)+윗몸일으키기및허리돌리기(1)삼안동
487양장골마을 입구경상남도 김해시 불암동 120-2 일원8허리돌리기(1)+팔운동(1)+하늘걷기(1)+달리기(1)+양팔줄당기기+가로타기(1)+윗몸일으키기+가로타기(1)+자전거타기+가로타기(1)+하늘걷기+허리돌리기(1)불암동
488불암지하차도변경상남도 김해시 불암동 172-13윗몸일으키기(1)+허리돌리기(1)+레그프레스(1)불암동
489선암마을 정자경상남도 김해시 불암동 220-3752자전거타기+가로타기(1)+달리기+팔운동(1)불암동
490불암공원(미니축구장)경상남도 김해시 불암동 213-55레그익스텐션(1)+하늘걷기(1)+자전거타기(1)+가로타기(1)+역기밀기(1)불암동
491분도마을 바깥도로경상남도 김해시 불암동 232-17다리밀기(1)+하늘걷기(1)+허리돌리기(1)+달리기(1)+팔운동+어깨운동(1)+역기밀기(1)+가로타기(1)불암동
492명동정수장경상남도 김해시 한림면 김해대로13474역기밀기+어깨운동(1)+양팔줄당기기+하늘걷기(1)+허리돌리기+팔관절운동(1)+거꾸로매달리기(1)명동정수과
493분도마을 다목적구장경상남도 김해시 불암동 354-26역기돌리기(1)+허리돌리기(1)+하늘걷기(1)+윗몸일으키기(1)+자전거타기(1)+평형봉(1)대중교통과