Overview

Dataset statistics

Number of variables7
Number of observations48
Missing cells13
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory58.8 B

Variable types

Categorical3
Text4

Dataset

Description2024년 1월 8일 기준, 산청군 관내 시설구분(문화, 체육, 복지), 시설명, 전화번호, 도로명주소, 홈페이지주소에 대한 자료입니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15041746

Alerts

데이터기준일자 has constant value ""Constant
시설구분 is highly overall correlated with 데이터담당부서High correlation
데이터담당부서 is highly overall correlated with 시설구분High correlation
홈페이지 has 13 (27.1%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:09:33.185863
Analysis finished2024-03-13 00:09:33.605939
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
복지시설
36 
체육시설
6 
문화시설
 
3
교육시설
 
2
복지시설
 
1

Length

Max length5
Median length4
Mean length4.0208333
Min length4

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row복지시설
2nd row복지시설
3rd row복지시설
4th row복지시설
5th row복지시설

Common Values

ValueCountFrequency (%)
복지시설 36
75.0%
체육시설 6
 
12.5%
문화시설 3
 
6.2%
교육시설 2
 
4.2%
복지시설 1
 
2.1%

Length

2024-03-13T09:09:33.660437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:09:33.743843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지시설 37
77.1%
체육시설 6
 
12.5%
문화시설 3
 
6.2%
교육시설 2
 
4.2%

시설명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T09:09:33.896892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.3541667
Min length3

Characters and Unicode

Total characters401
Distinct characters106
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row성심인애원
2nd row이레마을
3rd row산청복음전문요양원
4th row산청복음실버타운
5th row산청예심소규모노인종합센터
ValueCountFrequency (%)
성심인애원 1
 
2.0%
행복한재가노인복지센터 1
 
2.0%
산청주간보호센터 1
 
2.0%
산청다온노인복지센터 1
 
2.0%
산청복지센터 1
 
2.0%
가현누리실버타운 1
 
2.0%
덕산복지센터 1
 
2.0%
경남산청재가지원센터 1
 
2.0%
산청누리복지센터 1
 
2.0%
드림재가복지센터 1
 
2.0%
Other values (39) 39
79.6%
2024-03-13T09:09:34.179220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 33
 
8.2%
청 29
 
7.2%
터 25
 
6.2%
센 25
 
6.2%
지 22
 
5.5%
인 20
 
5.0%
복 19
 
4.7%
노 17
 
4.2%
원 17
 
4.2%
가 6
 
1.5%
Other values (96) 188
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
99.0%
Uppercase Letter 2
 
0.5%
Space Separator 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 33
 
8.3%
청 29
 
7.3%
터 25
 
6.3%
센 25
 
6.3%
지 22
 
5.5%
인 20
 
5.0%
복 19
 
4.8%
노 17
 
4.3%
원 17
 
4.3%
가 6
 
1.5%
Other values (92) 184
46.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
99.0%
Common 2
 
0.5%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 33
 
8.3%
청 29
 
7.3%
터 25
 
6.3%
센 25
 
6.3%
지 22
 
5.5%
인 20
 
5.0%
복 19
 
4.8%
노 17
 
4.3%
원 17
 
4.3%
가 6
 
1.5%
Other values (92) 184
46.3%
Common
ValueCountFrequency (%)
1
50.0%
& 1
50.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
99.0%
ASCII 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 33
 
8.3%
청 29
 
7.3%
터 25
 
6.3%
센 25
 
6.3%
지 22
 
5.5%
인 20
 
5.0%
복 19
 
4.8%
노 17
 
4.3%
원 17
 
4.3%
가 6
 
1.5%
Other values (92) 184
46.3%
ASCII
ValueCountFrequency (%)
1
25.0%
B 1
25.0%
& 1
25.0%
I 1
25.0%

소재지도로명주소
Text

Distinct40
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T09:09:34.375273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length23.8125
Min length18

Characters and Unicode

Total characters1143
Distinct characters71
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

Unique33 ?
Unique (%)68.8%

Sample

1st row경상남도 산청군 산청읍 산청대로1381번길 17
2nd row경상남도 산청군 산청읍 동의보감로312번길 176-57
3rd row경상남도 산청군 단성면 강누방목로401번길 79
4th row경상남도 산청군 단성면 강누방목로401번길 79
5th row경상남도 산청군 금서면 동의보감로312번길 11-10
ValueCountFrequency (%)
경상남도 48
20.2%
산청군 48
20.2%
산청읍 14
 
5.9%
단성면 10
 
4.2%
금서면 9
 
3.8%
신안면 6
 
2.5%
시천면 4
 
1.7%
친환경로 4
 
1.7%
동의보감로312번길 4
 
1.7%
친환경로2631번길 3
 
1.3%
Other values (70) 88
37.0%
2024-03-13T09:09:34.675474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
16.6%
산 71
 
6.2%
청 66
 
5.8%
경 56
 
4.9%
남 52
 
4.5%
상 49
 
4.3%
도 48
 
4.2%
군 48
 
4.2%
1 46
 
4.0%
로 45
 
3.9%
Other values (61) 472
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
63.6%
Decimal Number 212
 
18.5%
Space Separator 190
 
16.6%
Dash Punctuation 13
 
1.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 71
 
9.8%
청 66
 
9.1%
경 56
 
7.7%
남 52
 
7.2%
상 49
 
6.7%
도 48
 
6.6%
군 48
 
6.6%
로 45
 
6.2%
면 34
 
4.7%
길 29
 
4.0%
Other values (48) 229
31.5%
Decimal Number
ValueCountFrequency (%)
1 46
21.7%
2 31
14.6%
7 24
11.3%
3 23
10.8%
6 21
9.9%
4 16
 
7.5%
9 15
 
7.1%
0 14
 
6.6%
5 11
 
5.2%
8 11
 
5.2%
Space Separator
ValueCountFrequency (%)
190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
63.6%
Common 416
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 71
 
9.8%
청 66
 
9.1%
경 56
 
7.7%
남 52
 
7.2%
상 49
 
6.7%
도 48
 
6.6%
군 48
 
6.6%
로 45
 
6.2%
면 34
 
4.7%
길 29
 
4.0%
Other values (48) 229
31.5%
Common
ValueCountFrequency (%)
190
45.7%
1 46
 
11.1%
2 31
 
7.5%
7 24
 
5.8%
3 23
 
5.5%
6 21
 
5.0%
4 16
 
3.8%
9 15
 
3.6%
0 14
 
3.4%
- 13
 
3.1%
Other values (3) 23
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
63.6%
ASCII 416
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
45.7%
1 46
 
11.1%
2 31
 
7.5%
7 24
 
5.8%
3 23
 
5.5%
6 21
 
5.0%
4 16
 
3.8%
9 15
 
3.6%
0 14
 
3.4%
- 13
 
3.1%
Other values (3) 23
 
5.5%
Hangul
ValueCountFrequency (%)
산 71
 
9.8%
청 66
 
9.1%
경 56
 
7.7%
남 52
 
7.2%
상 49
 
6.7%
도 48
 
6.6%
군 48
 
6.6%
로 45
 
6.2%
면 34
 
4.7%
길 29
 
4.0%
Other values (48) 229
31.5%

홈페이지
Text

MISSING 

Distinct26
Distinct (%)74.3%
Missing13
Missing (%)27.1%
Memory size516.0 B
2024-03-13T09:09:34.874148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length40
Mean length34.057143
Min length15

Characters and Unicode

Total characters1192
Distinct characters51
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

Unique21 ?
Unique (%)60.0%

Sample

1st rowhttps://blog.naver.com/ohmark/221302235810
2nd rowhttp://www.iregdc.com/
3rd rowhttp://ssgh.or.kr/
4th rowhttp://sgst.or.kr/
5th rowhttp://예심요양원.kr
ValueCountFrequency (%)
https://www.sancheong.go.kr/www/contents.do?key=234 6
 
17.1%
http://www.hanill.or.kr 2
 
5.7%
http://www.sungsim1.or.kr 2
 
5.7%
http://www.iregdc.com 2
 
5.7%
http://예심요양원.kr 2
 
5.7%
https://blog.naver.com/kos1805 1
 
2.9%
https://blog.naver.com/deoksansilvercare 1
 
2.9%
https://www.sancheong.go.kr/www/contents.do?key=233 1
 
2.9%
https://www.sancheong.go.kr/www/contents.do?key=232 1
 
2.9%
https://www.sancheong.go.kr/www/contents.do?key=231 1
 
2.9%
Other values (16) 16
45.7%
2024-03-13T09:09:35.213172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 111
 
9.3%
t 96
 
8.1%
. 94
 
7.9%
w 87
 
7.3%
o 77
 
6.5%
n 66
 
5.5%
e 58
 
4.9%
s 54
 
4.5%
h 53
 
4.4%
r 52
 
4.4%
Other values (41) 444
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 852
71.5%
Other Punctuation 253
 
21.2%
Decimal Number 56
 
4.7%
Math Symbol 13
 
1.1%
Other Letter 10
 
0.8%
Uppercase Letter 6
 
0.5%
Control 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 96
11.3%
w 87
 
10.2%
o 77
 
9.0%
n 66
 
7.7%
e 58
 
6.8%
s 54
 
6.3%
h 53
 
6.2%
r 52
 
6.1%
k 40
 
4.7%
c 40
 
4.7%
Other values (14) 229
26.9%
Decimal Number
ValueCountFrequency (%)
2 15
26.8%
3 12
21.4%
1 9
16.1%
4 7
12.5%
0 5
 
8.9%
8 3
 
5.4%
6 2
 
3.6%
5 2
 
3.6%
9 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 111
43.9%
. 94
37.2%
: 35
 
13.8%
? 10
 
4.0%
& 3
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
I 2
33.3%
D 1
16.7%
P 1
16.7%
L 1
16.7%
T 1
16.7%
Other Letter
ValueCountFrequency (%)
요 2
20.0%
원 2
20.0%
양 2
20.0%
심 2
20.0%
예 2
20.0%
Math Symbol
ValueCountFrequency (%)
= 13
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 858
72.0%
Common 324
 
27.2%
Hangul 10
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 96
11.2%
w 87
 
10.1%
o 77
 
9.0%
n 66
 
7.7%
e 58
 
6.8%
s 54
 
6.3%
h 53
 
6.2%
r 52
 
6.1%
k 40
 
4.7%
c 40
 
4.7%
Other values (19) 235
27.4%
Common
ValueCountFrequency (%)
/ 111
34.3%
. 94
29.0%
: 35
 
10.8%
2 15
 
4.6%
= 13
 
4.0%
3 12
 
3.7%
? 10
 
3.1%
1 9
 
2.8%
4 7
 
2.2%
0 5
 
1.5%
Other values (7) 13
 
4.0%
Hangul
ValueCountFrequency (%)
요 2
20.0%
원 2
20.0%
양 2
20.0%
심 2
20.0%
예 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1182
99.2%
Hangul 10
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 111
 
9.4%
t 96
 
8.1%
. 94
 
8.0%
w 87
 
7.4%
o 77
 
6.5%
n 66
 
5.6%
e 58
 
4.9%
s 54
 
4.6%
h 53
 
4.5%
r 52
 
4.4%
Other values (36) 434
36.7%
Hangul
ValueCountFrequency (%)
요 2
20.0%
원 2
20.0%
양 2
20.0%
심 2
20.0%
예 2
20.0%

전화번호
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T09:09:35.403254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters576
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)93.8%

Sample

1st row055-973-6966
2nd row055-974-0998
3rd row055-973-3000
4th row055-973-0880
5th row055-974-0675
ValueCountFrequency (%)
055-970-6433 3
 
6.2%
055-973-9258 1
 
2.1%
055-974-0412 1
 
2.1%
055-972-1993 1
 
2.1%
055-973-3337 1
 
2.1%
055-973-1005 1
 
2.1%
055-972-2900 1
 
2.1%
055-974-8286 1
 
2.1%
055-972-7676 1
 
2.1%
055-974-1199 1
 
2.1%
Other values (36) 36
75.0%
2024-03-13T09:09:35.682062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 114
19.8%
- 96
16.7%
0 93
16.1%
9 73
12.7%
7 59
10.2%
4 43
 
7.5%
3 31
 
5.4%
1 22
 
3.8%
2 19
 
3.3%
6 15
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
83.3%
Dash Punctuation 96
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 114
23.8%
0 93
19.4%
9 73
15.2%
7 59
12.3%
4 43
 
9.0%
3 31
 
6.5%
1 22
 
4.6%
2 19
 
4.0%
6 15
 
3.1%
8 11
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 114
19.8%
- 96
16.7%
0 93
16.1%
9 73
12.7%
7 59
10.2%
4 43
 
7.5%
3 31
 
5.4%
1 22
 
3.8%
2 19
 
3.3%
6 15
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 114
19.8%
- 96
16.7%
0 93
16.1%
9 73
12.7%
7 59
10.2%
4 43
 
7.5%
3 31
 
5.4%
1 22
 
3.8%
2 19
 
3.3%
6 15
 
2.6%

데이터담당부서
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
산청군청 행복나눔과
37 
산청군청 문화체육과
10 
산청군청 보건정책과
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row산청군청 행복나눔과
2nd row산청군청 행복나눔과
3rd row산청군청 행복나눔과
4th row산청군청 행복나눔과
5th row산청군청 행복나눔과

Common Values

ValueCountFrequency (%)
산청군청 행복나눔과 37
77.1%
산청군청 문화체육과 10
 
20.8%
산청군청 보건정책과 1
 
2.1%

Length

2024-03-13T09:09:35.789087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:09:35.865942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산청군청 48
50.0%
행복나눔과 37
38.5%
문화체육과 10
 
10.4%
보건정책과 1
 
1.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-01-08
48 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-08
2nd row2024-01-08
3rd row2024-01-08
4th row2024-01-08
5th row2024-01-08

Common Values

ValueCountFrequency (%)
2024-01-08 48
100.0%

Length

2024-03-13T09:09:35.950808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:09:36.031263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-08 48
100.0%

Correlations

2024-03-13T09:09:36.080887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명소재지도로명주소홈페이지전화번호데이터담당부서
시설구분1.0001.0000.0000.9191.0000.935
시설명1.0001.0001.0001.0001.0001.000
소재지도로명주소0.0001.0001.0000.9700.9310.000
홈페이지0.9191.0000.9701.0001.0000.500
전화번호1.0001.0000.9311.0001.0001.000
데이터담당부서0.9351.0000.0000.5001.0001.000
2024-03-13T09:09:36.163750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분데이터담당부서
시설구분1.0000.960
데이터담당부서0.9601.000
2024-03-13T09:09:36.228896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분데이터담당부서
시설구분1.0000.960
데이터담당부서0.9601.000

Missing values

2024-03-13T09:09:33.480745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:09:33.565700image/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

시설구분시설명소재지도로명주소홈페이지전화번호데이터담당부서데이터기준일자
0복지시설성심인애원경상남도 산청군 산청읍 산청대로1381번길 17https://blog.naver.com/ohmark/221302235810055-973-6966산청군청 행복나눔과2024-01-08
1복지시설이레마을경상남도 산청군 산청읍 동의보감로312번길 176-57http://www.iregdc.com/055-974-0998산청군청 행복나눔과2024-01-08
2복지시설산청복음전문요양원경상남도 산청군 단성면 강누방목로401번길 79http://ssgh.or.kr/055-973-3000산청군청 행복나눔과2024-01-08
3복지시설산청복음실버타운경상남도 산청군 단성면 강누방목로401번길 79http://sgst.or.kr/055-973-0880산청군청 행복나눔과2024-01-08
4복지시설산청예심소규모노인종합센터경상남도 산청군 금서면 동의보감로312번길 11-10http://예심요양원.kr055-974-0675산청군청 행복나눔과2024-01-08
5복지시설산청우리요양원경상남도 산청군 단성면 사직단로257번길 8-7http://www.withangel.co.kr/055-974-0980산청군청 행복나눔과2024-01-08
6복지시설산청성모요양원경상남도 산청군 금서면 친환경로 2016http://www.koryeo.or.kr/055-974-0093산청군청 행복나눔과2024-01-08
7복지시설한일노인요양원경상남도 산청군 산청읍 웅석봉로67번길 26http://www.hanill.or.kr/055-974-1204산청군청 행복나눔과2024-01-08
8복지시설산청선문노인요양원경상남도 산청군 생비량면 비량로 29<NA>055-974-1992산청군청 행복나눔과2024-01-08
9복지시설산청한방실버타운경상남도 산청군 금서면 친환경로 2016<NA>055-974-0094산청군청 행복나눔과2024-01-08
시설구분시설명소재지도로명주소홈페이지전화번호데이터담당부서데이터기준일자
38교육시설산청도서관경상남도 산청군 산청읍 꽃봉산로79번길 45http://www.sanlib.or.kr/055-973-2544산청군청 문화체육과2024-01-08
39문화시설덕산문화의집경상남도 산청군 시천면 남명로234번길 31https://www.sancheong.go.kr/www/contents.do?key=231055-974-0190산청군청 문화체육과2024-01-08
40문화시설산청문화예술회관경상남도 산청군 금서면 친환경로2631번길 12https://www.sancheong.go.kr/www/contents.do?key=232055-970-6481산청군청 문화체육과2024-01-08
41문화시설기산국악당경상남도 산청군 단성면 상동길 69https://www.sancheong.go.kr/www/contents.do?key=233055-972-4549산청군청 문화체육과2024-01-08
42체육시설산청공설운동장경상남도 산청군 금서면 친환경로2631번길 39https://www.sancheong.go.kr/www/contents.do?key=234055-970-6433산청군청 문화체육과2024-01-08
43체육시설산청 국민체육센터경상남도 산청군 금서면 친환경로2605번길 22https://www.sancheong.go.kr/www/contents.do?key=234055-970-6485산청군청 문화체육과2024-01-08
44체육시설산청실내수영장경상남도 산청군 금서면 친환경로2631번길 12https://www.sancheong.go.kr/www/contents.do?key=234055-974-0412산청군청 문화체육과2024-01-08
45체육시설생초체육공원경상남도 산청군 생초면 생초로 10https://www.sancheong.go.kr/www/contents.do?key=234055-970-6433산청군청 문화체육과2024-01-08
46체육시설남부생활체육공원경상남도 산청군 신안면 하정리 581https://www.sancheong.go.kr/www/contents.do?key=234055-970-6433산청군청 문화체육과2024-01-08
47체육시설조산공원다목적구장경상남도 산청군 산청읍 웅석봉로86번길 7https://www.sancheong.go.kr/www/contents.do?key=234055-973-0038산청군청 문화체육과2024-01-08