Overview

Dataset statistics

Number of variables11
Number of observations82
Missing cells14
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory91.6 B

Variable types

Categorical5
Text3
Numeric2
DateTime1

Dataset

Description곡성군 체육시설 현황 정보 (위치, 시설명칭, 설치연도, 운동기구수, 운동기구 종류, 관리기관 전화번호 등 포함)
Author전라남도 곡성군
URLhttps://www.data.go.kr/data/3074907/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
설치연도 is highly overall correlated with 운동기구수High correlation
운동기구수 is highly overall correlated with 설치연도High correlation
설치연도 has 14 (17.1%) missing valuesMissing
시설명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:49:47.929745
Analysis finished2023-12-12 05:49:49.313184
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
전라남도
82 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 82
100.0%

Length

2023-12-12T14:49:49.394346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:49.487621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 82
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
곡성군
82 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곡성군 82
100.0%

Length

2023-12-12T14:49:49.593094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:50.033703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
곡성군 82
100.0%

읍면명
Categorical

Distinct11
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
곡성읍
23 
입면
11 
오곡면
9 
옥과면
8 
삼기면
7 
Other values (6)
24 

Length

Max length4
Median length3
Mean length2.8414634
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곡성읍 23
28.0%
입면 11
13.4%
오곡면 9
 
11.0%
옥과면 8
 
9.8%
삼기면 7
 
8.5%
오산면 6
 
7.3%
겸면 5
 
6.1%
석곡면 4
 
4.9%
죽곡면 4
 
4.9%
목사동면 3
 
3.7%

Length

2023-12-12T14:49:50.180979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곡성읍 23
28.0%
입면 11
13.4%
오곡면 9
 
11.0%
옥과면 8
 
9.8%
삼기면 7
 
8.5%
오산면 6
 
7.3%
겸면 5
 
6.1%
석곡면 4
 
4.9%
죽곡면 4
 
4.9%
목사동면 3
 
3.7%

위치
Text

Distinct79
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:49:50.486051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.3658537
Min length2

Characters and Unicode

Total characters440
Distinct characters94
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

Unique76 ?
Unique (%)92.7%

Sample

1st row학정리 산 9
2nd row죽동리 36
3rd row교촌리 47
4th row읍내1구
5th row읍내2구
ValueCountFrequency (%)
오지리 3
 
2.6%
읍내3구 2
 
1.7%
금천천 2
 
1.7%
학정2구 2
 
1.7%
옥과리 2
 
1.7%
36 2
 
1.7%
유정리 2
 
1.7%
2구 2
 
1.7%
평리 2
 
1.7%
송전리 2
 
1.7%
Other values (94) 96
82.1%
2023-12-12T14:49:50.920475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 53
 
12.0%
35
 
8.0%
구 27
 
6.1%
1 27
 
6.1%
2 20
 
4.5%
3 16
 
3.6%
- 16
 
3.6%
5 12
 
2.7%
7 10
 
2.3%
4 9
 
2.0%
Other values (84) 215
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
60.5%
Decimal Number 122
27.7%
Space Separator 35
 
8.0%
Dash Punctuation 16
 
3.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 53
19.9%
구 27
 
10.2%
곡 9
 
3.4%
정 8
 
3.0%
천 8
 
3.0%
산 7
 
2.6%
평 6
 
2.3%
봉 6
 
2.3%
월 6
 
2.3%
동 5
 
1.9%
Other values (71) 131
49.2%
Decimal Number
ValueCountFrequency (%)
1 27
22.1%
2 20
16.4%
3 16
13.1%
5 12
9.8%
7 10
 
8.2%
4 9
 
7.4%
8 9
 
7.4%
6 8
 
6.6%
9 6
 
4.9%
0 5
 
4.1%
Space Separator
ValueCountFrequency (%)
35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
60.5%
Common 174
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 53
19.9%
구 27
 
10.2%
곡 9
 
3.4%
정 8
 
3.0%
천 8
 
3.0%
산 7
 
2.6%
평 6
 
2.3%
봉 6
 
2.3%
월 6
 
2.3%
동 5
 
1.9%
Other values (71) 131
49.2%
Common
ValueCountFrequency (%)
35
20.1%
1 27
15.5%
2 20
11.5%
3 16
9.2%
- 16
9.2%
5 12
 
6.9%
7 10
 
5.7%
4 9
 
5.2%
8 9
 
5.2%
6 8
 
4.6%
Other values (3) 12
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
60.5%
ASCII 174
39.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 53
19.9%
구 27
 
10.2%
곡 9
 
3.4%
정 8
 
3.0%
천 8
 
3.0%
산 7
 
2.6%
평 6
 
2.3%
봉 6
 
2.3%
월 6
 
2.3%
동 5
 
1.9%
Other values (71) 131
49.2%
ASCII
ValueCountFrequency (%)
35
20.1%
1 27
15.5%
2 20
11.5%
3 16
9.2%
- 16
9.2%
5 12
 
6.9%
7 10
 
5.7%
4 9
 
5.2%
8 9
 
5.2%
6 8
 
4.6%
Other values (3) 12
 
6.9%

시설명칭
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:49:51.218800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.670732
Min length6

Characters and Unicode

Total characters875
Distinct characters111
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

Unique82 ?
Unique (%)100.0%

Sample

1st row삼인동 동네체육시설
2nd row곡성생활체육공원
3rd row동악체육공원
4th row읍내1구 동네체육시설
5th row읍내2구 동네체육시설
ValueCountFrequency (%)
동네체육시설 65
40.9%
체육시설 10
 
6.3%
하한마을 1
 
0.6%
설옥마을 1
 
0.6%
죽림마을 1
 
0.6%
옥과마을 1
 
0.6%
소룡마을 1
 
0.6%
지방마을 1
 
0.6%
옥과경로당 1
 
0.6%
목동마을 1
 
0.6%
Other values (76) 76
47.8%
2023-12-12T14:49:51.636364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 81
 
9.3%
육 80
 
9.1%
설 80
 
9.1%
시 79
 
9.0%
78
 
8.9%
동 74
 
8.5%
네 67
 
7.7%
마 35
 
4.0%
을 35
 
4.0%
구 27
 
3.1%
Other values (101) 239
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 769
87.9%
Space Separator 78
 
8.9%
Decimal Number 27
 
3.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 81
10.5%
육 80
 
10.4%
설 80
 
10.4%
시 79
 
10.3%
동 74
 
9.6%
네 67
 
8.7%
마 35
 
4.6%
을 35
 
4.6%
구 27
 
3.5%
곡 10
 
1.3%
Other values (94) 201
26.1%
Decimal Number
ValueCountFrequency (%)
1 11
40.7%
2 10
37.0%
3 4
 
14.8%
4 1
 
3.7%
6 1
 
3.7%
Space Separator
ValueCountFrequency (%)
78
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 769
87.9%
Common 106
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 81
10.5%
육 80
 
10.4%
설 80
 
10.4%
시 79
 
10.3%
동 74
 
9.6%
네 67
 
8.7%
마 35
 
4.6%
을 35
 
4.6%
구 27
 
3.5%
곡 10
 
1.3%
Other values (94) 201
26.1%
Common
ValueCountFrequency (%)
78
73.6%
1 11
 
10.4%
2 10
 
9.4%
3 4
 
3.8%
4 1
 
0.9%
@ 1
 
0.9%
6 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 769
87.9%
ASCII 106
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 81
10.5%
육 80
 
10.4%
설 80
 
10.4%
시 79
 
10.3%
동 74
 
9.6%
네 67
 
8.7%
마 35
 
4.6%
을 35
 
4.6%
구 27
 
3.5%
곡 10
 
1.3%
Other values (94) 201
26.1%
ASCII
ValueCountFrequency (%)
78
73.6%
1 11
 
10.4%
2 10
 
9.4%
3 4
 
3.8%
4 1
 
0.9%
@ 1
 
0.9%
6 1
 
0.9%

설치연도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct14
Distinct (%)20.6%
Missing14
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean2012.3971
Minimum2002
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T14:49:51.761002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2003.35
Q12011.75
median2014
Q32015
95-th percentile2016
Maximum2016
Range14
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation4.1578543
Coefficient of variation (CV)0.0020661202
Kurtosis0.74374414
Mean2012.3971
Median Absolute Deviation (MAD)2
Skewness-1.3839412
Sum136843
Variance17.287752
MonotonicityNot monotonic
2023-12-12T14:49:51.892296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2015 17
20.7%
2016 13
15.9%
2014 10
12.2%
2012 7
8.5%
2004 4
 
4.9%
2013 4
 
4.9%
2010 4
 
4.9%
2002 3
 
3.7%
2006 1
 
1.2%
2008 1
 
1.2%
Other values (4) 4
 
4.9%
(Missing) 14
17.1%
ValueCountFrequency (%)
2002 3
3.7%
2003 1
 
1.2%
2004 4
4.9%
2005 1
 
1.2%
2006 1
 
1.2%
2008 1
 
1.2%
2009 1
 
1.2%
2010 4
4.9%
2011 1
 
1.2%
2012 7
8.5%
ValueCountFrequency (%)
2016 13
15.9%
2015 17
20.7%
2014 10
12.2%
2013 4
 
4.9%
2012 7
8.5%
2011 1
 
1.2%
2010 4
 
4.9%
2009 1
 
1.2%
2008 1
 
1.2%
2006 1
 
1.2%

운동기구수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.304878
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T14:49:52.034081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35.75
95-th percentile8.95
Maximum26
Range25
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation4.0205921
Coefficient of variation (CV)0.93396191
Kurtosis14.659244
Mean4.304878
Median Absolute Deviation (MAD)1
Skewness3.301564
Sum353
Variance16.165161
MonotonicityNot monotonic
2023-12-12T14:49:52.144738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 28
34.1%
4 11
 
13.4%
1 9
 
11.0%
8 8
 
9.8%
3 7
 
8.5%
5 6
 
7.3%
6 4
 
4.9%
7 4
 
4.9%
9 2
 
2.4%
26 1
 
1.2%
Other values (2) 2
 
2.4%
ValueCountFrequency (%)
1 9
 
11.0%
2 28
34.1%
3 7
 
8.5%
4 11
 
13.4%
5 6
 
7.3%
6 4
 
4.9%
7 4
 
4.9%
8 8
 
9.8%
9 2
 
2.4%
10 1
 
1.2%
ValueCountFrequency (%)
26 1
 
1.2%
23 1
 
1.2%
10 1
 
1.2%
9 2
 
2.4%
8 8
9.8%
7 4
 
4.9%
6 4
 
4.9%
5 6
7.3%
4 11
13.4%
3 7
8.5%

운동기구 종류
Text

Distinct50
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:49:52.317832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length8.6707317
Min length5

Characters and Unicode

Total characters711
Distinct characters86
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

Unique41 ?
Unique (%)50.0%

Sample

1st row다리뻗치기외 25종
2nd row균형잡기외 22종
3rd row전신평행봉외 5종
4th row풀웨이트외 1종
5th row하늘걷기외 9종
ValueCountFrequency (%)
1종 31
19.3%
파도타기외 14
 
8.7%
하늘걷기외 11
 
6.8%
허리돌리기외 9
 
5.6%
7종 8
 
5.0%
3종 8
 
5.0%
2종 6
 
3.7%
4종 6
 
3.7%
복합운동기구 6
 
3.7%
철봉외 5
 
3.1%
Other values (36) 57
35.4%
2023-12-12T14:49:52.641548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
11.4%
기 75
 
10.5%
외 74
 
10.4%
종 74
 
10.4%
1 33
 
4.6%
리 29
 
4.1%
타 18
 
2.5%
걷 17
 
2.4%
파 16
 
2.3%
도 16
 
2.3%
Other values (76) 278
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 545
76.7%
Space Separator 81
 
11.4%
Decimal Number 77
 
10.8%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 75
 
13.8%
외 74
 
13.6%
종 74
 
13.6%
리 29
 
5.3%
타 18
 
3.3%
걷 17
 
3.1%
파 16
 
2.9%
도 16
 
2.9%
동 12
 
2.2%
늘 12
 
2.2%
Other values (64) 202
37.1%
Decimal Number
ValueCountFrequency (%)
1 33
42.9%
2 10
 
13.0%
3 10
 
13.0%
7 8
 
10.4%
4 6
 
7.8%
5 5
 
6.5%
6 2
 
2.6%
8 2
 
2.6%
9 1
 
1.3%
Space Separator
ValueCountFrequency (%)
81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
76.7%
Common 166
 
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 75
 
13.8%
외 74
 
13.6%
종 74
 
13.6%
리 29
 
5.3%
타 18
 
3.3%
걷 17
 
3.1%
파 16
 
2.9%
도 16
 
2.9%
동 12
 
2.2%
늘 12
 
2.2%
Other values (64) 202
37.1%
Common
ValueCountFrequency (%)
81
48.8%
1 33
19.9%
2 10
 
6.0%
3 10
 
6.0%
7 8
 
4.8%
4 6
 
3.6%
5 5
 
3.0%
( 4
 
2.4%
) 4
 
2.4%
6 2
 
1.2%
Other values (2) 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
76.7%
ASCII 166
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
48.8%
1 33
19.9%
2 10
 
6.0%
3 10
 
6.0%
7 8
 
4.8%
4 6
 
3.6%
5 5
 
3.0%
( 4
 
2.4%
) 4
 
2.4%
6 2
 
1.2%
Other values (2) 3
 
1.8%
Hangul
ValueCountFrequency (%)
기 75
 
13.8%
외 74
 
13.6%
종 74
 
13.6%
리 29
 
5.3%
타 18
 
3.3%
걷 17
 
3.1%
파 16
 
2.9%
도 16
 
2.9%
동 12
 
2.2%
늘 12
 
2.2%
Other values (64) 202
37.1%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
061-360-8493
82 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row061-360-8493
2nd row061-360-8493
3rd row061-360-8493
4th row061-360-8493
5th row061-360-8493

Common Values

ValueCountFrequency (%)
061-360-8493 82
100.0%

Length

2023-12-12T14:49:52.785021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:52.898583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
061-360-8493 82
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
전라남도 곡성군
82 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 곡성군
2nd row전라남도 곡성군
3rd row전라남도 곡성군
4th row전라남도 곡성군
5th row전라남도 곡성군

Common Values

ValueCountFrequency (%)
전라남도 곡성군 82
100.0%

Length

2023-12-12T14:49:53.009317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:53.122053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 82
50.0%
곡성군 82
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum2022-08-28 00:00:00
Maximum2022-08-28 00:00:00
2023-12-12T14:49:53.202392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:53.289690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T14:49:48.795142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.580017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.894352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.673797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:49:53.390323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면명위치시설명칭설치연도운동기구수운동기구 종류
읍면명1.0001.0001.0000.5340.0000.700
위치1.0001.0001.0000.9960.3350.995
시설명칭1.0001.0001.0001.0001.0001.000
설치연도0.5340.9961.0001.0000.7990.992
운동기구수0.0000.3351.0000.7991.0000.996
운동기구 종류0.7000.9951.0000.9920.9961.000
2023-12-12T14:49:53.502398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치연도운동기구수읍면명
설치연도1.000-0.7210.243
운동기구수-0.7211.0000.000
읍면명0.2430.0001.000

Missing values

2023-12-12T14:49:49.045962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:49:49.238502image/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

시도명시군구명읍면명위치시설명칭설치연도운동기구수운동기구 종류관리기관전화번호관리기관명데이터기준일자
0전라남도곡성군곡성읍학정리 산 9삼인동 동네체육시설200426다리뻗치기외 25종061-360-8493전라남도 곡성군2022-08-28
1전라남도곡성군곡성읍죽동리 36곡성생활체육공원200423균형잡기외 22종061-360-8493전라남도 곡성군2022-08-28
2전라남도곡성군곡성읍교촌리 47동악체육공원20136전신평행봉외 5종061-360-8493전라남도 곡성군2022-08-28
3전라남도곡성군곡성읍읍내1구읍내1구 동네체육시설<NA>7풀웨이트외 1종061-360-8493전라남도 곡성군2022-08-28
4전라남도곡성군곡성읍읍내2구읍내2구 동네체육시설<NA>10하늘걷기외 9종061-360-8493전라남도 곡성군2022-08-28
5전라남도곡성군곡성읍읍내3구읍내3구 동네체육시설20152파도타기외 1종061-360-8493전라남도 곡성군2022-08-28
6전라남도곡성군곡성읍읍내3구읍내6구 동네체육시설20162허리돌리기외 1종061-360-8493전라남도 곡성군2022-08-28
7전라남도곡성군곡성읍월봉리도림사 체육시설<NA>9철봉외 8종061-360-8493전라남도 곡성군2022-08-28
8전라남도곡성군곡성읍월봉리월봉마을 동네체육시설<NA>8허리돌리기외 1종061-360-8493전라남도 곡성군2022-08-28
9전라남도곡성군곡성읍동산리동산마을 동네체육시설<NA>8하늘걷기외 7종061-360-8493전라남도 곡성군2022-08-28
시도명시군구명읍면명위치시설명칭설치연도운동기구수운동기구 종류관리기관전화번호관리기관명데이터기준일자
72전라남도곡성군겸면상덕리 268-4상덕마을 동네체육시설20151복합운동기구061-360-8493전라남도 곡성군2022-08-28
73전라남도곡성군겸면원평리원평마을 동네체육시설20162허리돌리기외 1종061-360-8493전라남도 곡성군2022-08-28
74전라남도곡성군겸면송강리송강마을 동네체육시설20162양팔줄다리기외 1종061-360-8493전라남도 곡성군2022-08-28
75전라남도곡성군겸면덕산리덕산마을 동네체육시설20145써핑롤링머신외 4종061-360-8493전라남도 곡성군2022-08-28
76전라남도곡성군오산면가곡리 754-8가곡마을 동네체육시설20024허리돌리기외 3종061-360-8493전라남도 곡성군2022-08-28
77전라남도곡성군오산면연화리 562연화마을 동네체육시설20102허리돌리기외 1종061-360-8493전라남도 곡성군2022-08-28
78전라남도곡성군오산면단사리단사리 동네체육시설20152파도타기외 1종061-360-8493전라남도 곡성군2022-08-28
79전라남도곡성군오산면운곡 1구운곡1구 동네체육시설20151복합운동기구061-360-8493전라남도 곡성군2022-08-28
80전라남도곡성군오산면운곡 2구운곡2구 동네체육시설20161하늘걷기외 1종061-360-8493전라남도 곡성군2022-08-28
81전라남도곡성군오산면청단리청단마을 동네체육시설20161허리돌리기외 1종061-360-8493전라남도 곡성군2022-08-28