Overview

Dataset statistics

Number of variables9
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory76.1 B

Variable types

Categorical5
Text2
Numeric2

Dataset

Description제주특별자치도 서귀포시 관내의 공공체육시설의 구분, 경기장, 종목, 위치, 위도, 경도, 전화번호 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/3067620/fileData.do

Alerts

상세정보 has constant value ""Constant
데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 종목High correlation
종목 is highly overall correlated with 구분High correlation
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
전화번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
경기장 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:46:55.725722
Analysis finished2023-12-12 14:46:57.183639
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
게이트볼장
13 
체육관
12 
축구장
11 
종합경기장
8 
야구장
4 
Other values (7)
15 

Length

Max length10
Median length7
Mean length4.047619
Min length3

Unique

Unique4 ?
Unique (%)6.3%

Sample

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

Common Values

ValueCountFrequency (%)
게이트볼장 13
20.6%
체육관 12
19.0%
축구장 11
17.5%
종합경기장 8
12.7%
야구장 4
 
6.3%
궁도장 4
 
6.3%
테니스장 4
 
6.3%
파크골프장 3
 
4.8%
롤러스케이트장 1
 
1.6%
마라톤센터 1
 
1.6%
Other values (2) 2
 
3.2%

Length

2023-12-12T23:46:57.284059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
게이트볼장 13
20.6%
체육관 12
19.0%
축구장 11
17.5%
종합경기장 8
12.7%
야구장 4
 
6.3%
궁도장 4
 
6.3%
테니스장 4
 
6.3%
파크골프장 3
 
4.8%
롤러스케이트장 1
 
1.6%
마라톤센터 1
 
1.6%
Other values (2) 2
 
3.2%

경기장
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T23:46:57.547305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length10.15873
Min length3

Characters and Unicode

Total characters640
Distinct characters130
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row보성리전천후게이트볼장
2nd row태흥리농어촌복합체육시설
3rd row성산읍전천후게이트볼장
4th row성산서부전천후게이트볼장
5th row표선전천후게이트볼장
ValueCountFrequency (%)
주경기장 6
 
6.0%
체육관 4
 
4.0%
테니스장 4
 
4.0%
파크골프장 3
 
3.0%
강창학 3
 
3.0%
서귀포 3
 
3.0%
서귀포야구장 2
 
2.0%
제주공천포 2
 
2.0%
성산국민체육센터 2
 
2.0%
제주공천포전지훈련 2
 
2.0%
Other values (68) 69
69.0%
2023-12-12T23:46:57.980205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 44
 
6.9%
37
 
5.8%
육 22
 
3.4%
체 21
 
3.3%
전 20
 
3.1%
천 19
 
3.0%
포 16
 
2.5%
구 15
 
2.3%
터 15
 
2.3%
센 15
 
2.3%
Other values (120) 416
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 595
93.0%
Space Separator 37
 
5.8%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 44
 
7.4%
육 22
 
3.7%
체 21
 
3.5%
전 20
 
3.4%
천 19
 
3.2%
포 16
 
2.7%
구 15
 
2.5%
터 15
 
2.5%
센 15
 
2.5%
이 14
 
2.4%
Other values (115) 394
66.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 595
93.0%
Common 43
 
6.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 44
 
7.4%
육 22
 
3.7%
체 21
 
3.5%
전 20
 
3.4%
천 19
 
3.2%
포 16
 
2.7%
구 15
 
2.5%
터 15
 
2.5%
센 15
 
2.5%
이 14
 
2.4%
Other values (115) 394
66.2%
Common
ValueCountFrequency (%)
37
86.0%
( 3
 
7.0%
) 3
 
7.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 595
93.0%
ASCII 45
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 44
 
7.4%
육 22
 
3.7%
체 21
 
3.5%
전 20
 
3.4%
천 19
 
3.2%
포 16
 
2.7%
구 15
 
2.5%
터 15
 
2.5%
센 15
 
2.5%
이 14
 
2.4%
Other values (115) 394
66.2%
ASCII
ValueCountFrequency (%)
37
82.2%
( 3
 
6.7%
) 3
 
6.7%
B 1
 
2.2%
A 1
 
2.2%

종목
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size636.0 B
게이트볼
13 
축구
10 
다종목
5 
농구+배구+배드민턴경기장+문화및집회시설
5 
야구
4 
Other values (15)
26 

Length

Max length25
Median length21
Mean length5.984127
Min length2

Unique

Unique9 ?
Unique (%)14.3%

Sample

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

Common Values

ValueCountFrequency (%)
게이트볼 13
20.6%
축구 10
15.9%
다종목 5
 
7.9%
농구+배구+배드민턴경기장+문화및집회시설 5
 
7.9%
야구 4
 
6.3%
테니스 4
 
6.3%
궁도 4
 
6.3%
골프 3
 
4.8%
문화+집회시설및체육시설 2
 
3.2%
농구+배구+배드민턴+핸드볼경기장+문화및집회시설 2
 
3.2%
Other values (10) 11
17.5%

Length

2023-12-12T23:46:58.141552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
게이트볼 13
20.6%
축구 10
15.9%
다종목 5
 
7.9%
농구+배구+배드민턴경기장+문화및집회시설 5
 
7.9%
야구 4
 
6.3%
테니스 4
 
6.3%
궁도 4
 
6.3%
골프 3
 
4.8%
농구+배구+배드민턴+핸드볼경기장+문화및집회시설 2
 
3.2%
체력단련 2
 
3.2%
Other values (10) 11
17.5%

위치
Text

Distinct46
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T23:46:58.437217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length23.761905
Min length19

Characters and Unicode

Total characters1497
Distinct characters98
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

Unique37 ?
Unique (%)58.7%

Sample

1st row제주특별자치도 서귀포시 대정읍 추사로 93-11
2nd row제주특별자치도 서귀포시 남원읍 태위로 988-5
3rd row제주특별자치도 서귀포시 서성일로 1222번길 36
4th row제주특별자치도 서귀포시 신난로 16
5th row제주특별자치도 서귀포시 표선면 한마음초등로 396
ValueCountFrequency (%)
제주특별자치도 63
22.4%
서귀포시 63
22.4%
중산간서로 10
 
3.6%
95 7
 
2.5%
남원읍 7
 
2.5%
신례로 6
 
2.1%
96 6
 
2.1%
표선면 5
 
1.8%
태위로 4
 
1.4%
한마음초등로 4
 
1.4%
Other values (82) 106
37.7%
2023-12-12T23:46:58.947075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
14.6%
서 83
 
5.5%
주 67
 
4.5%
도 64
 
4.3%
포 64
 
4.3%
제 63
 
4.2%
특 63
 
4.2%
별 63
 
4.2%
자 63
 
4.2%
치 63
 
4.2%
Other values (88) 685
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1034
69.1%
Space Separator 219
 
14.6%
Decimal Number 217
 
14.5%
Dash Punctuation 23
 
1.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 83
 
8.0%
주 67
 
6.5%
도 64
 
6.2%
포 64
 
6.2%
제 63
 
6.1%
특 63
 
6.1%
별 63
 
6.1%
자 63
 
6.1%
치 63
 
6.1%
귀 63
 
6.1%
Other values (74) 378
36.6%
Decimal Number
ValueCountFrequency (%)
9 40
18.4%
1 38
17.5%
5 28
12.9%
3 25
11.5%
2 22
10.1%
6 20
9.2%
7 15
 
6.9%
4 13
 
6.0%
0 10
 
4.6%
8 6
 
2.8%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1034
69.1%
Common 463
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 83
 
8.0%
주 67
 
6.5%
도 64
 
6.2%
포 64
 
6.2%
제 63
 
6.1%
특 63
 
6.1%
별 63
 
6.1%
자 63
 
6.1%
치 63
 
6.1%
귀 63
 
6.1%
Other values (74) 378
36.6%
Common
ValueCountFrequency (%)
219
47.3%
9 40
 
8.6%
1 38
 
8.2%
5 28
 
6.0%
3 25
 
5.4%
- 23
 
5.0%
2 22
 
4.8%
6 20
 
4.3%
7 15
 
3.2%
4 13
 
2.8%
Other values (4) 20
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1034
69.1%
ASCII 463
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
47.3%
9 40
 
8.6%
1 38
 
8.2%
5 28
 
6.0%
3 25
 
5.4%
- 23
 
5.0%
2 22
 
4.8%
6 20
 
4.3%
7 15
 
3.2%
4 13
 
2.8%
Other values (4) 20
 
4.3%
Hangul
ValueCountFrequency (%)
서 83
 
8.0%
주 67
 
6.5%
도 64
 
6.2%
포 64
 
6.2%
제 63
 
6.1%
특 63
 
6.1%
별 63
 
6.1%
자 63
 
6.1%
치 63
 
6.1%
귀 63
 
6.1%
Other values (74) 378
36.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.284794
Minimum33.217572
Maximum33.467204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T23:46:59.090185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.217572
5-th percentile33.243676
Q133.252506
median33.259873
Q333.277503
95-th percentile33.444632
Maximum33.467204
Range0.2496323
Interquartile range (IQR)0.02499698

Descriptive statistics

Standard deviation0.060714964
Coefficient of variation (CV)0.0018241052
Kurtosis3.2343523
Mean33.284794
Median Absolute Deviation (MAD)0.012644
Skewness2.0331615
Sum2096.942
Variance0.0036863069
MonotonicityNot monotonic
2023-12-12T23:46:59.267932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
33.259873 6
 
9.5%
33.27680559 3
 
4.8%
33.2771222 3
 
4.8%
33.35426414 2
 
3.2%
33.3544931 2
 
3.2%
33.27788286 2
 
3.2%
33.4667584 2
 
3.2%
33.24621974 2
 
3.2%
33.25104042 1
 
1.6%
33.25413034 1
 
1.6%
Other values (39) 39
61.9%
ValueCountFrequency (%)
33.2175717 1
1.6%
33.23284637 1
1.6%
33.2347698 1
1.6%
33.24360091 1
1.6%
33.24435316 1
1.6%
33.24509351 1
1.6%
33.24621974 2
3.2%
33.24706692 1
1.6%
33.247229 1
1.6%
33.2496866 1
1.6%
ValueCountFrequency (%)
33.467204 1
1.6%
33.4667584 2
3.2%
33.4447515 1
1.6%
33.443552 1
1.6%
33.3869011 1
1.6%
33.3544931 2
3.2%
33.35426414 2
3.2%
33.3531879 1
1.6%
33.30038644 1
1.6%
33.28836924 1
1.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.57751
Minimum126.23295
Maximum126.91142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-12T23:46:59.424699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.23295
5-th percentile126.2776
Q1126.4996
median126.55363
Q3126.67298
95-th percentile126.90469
Maximum126.91142
Range0.6784799
Interquartile range (IQR)0.17337695

Descriptive statistics

Standard deviation0.17535982
Coefficient of variation (CV)0.0013853948
Kurtosis-0.35261267
Mean126.57751
Median Absolute Deviation (MAD)0.0872821
Skewness0.19216782
Sum7974.383
Variance0.030751068
MonotonicityNot monotonic
2023-12-12T23:46:59.586356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
126.5017749 6
 
9.5%
126.6409081 3
 
4.8%
126.6391669 3
 
4.8%
126.8143923 2
 
3.2%
126.8124756 2
 
3.2%
126.7034071 2
 
3.2%
126.904899 2
 
3.2%
126.5092777 2
 
3.2%
126.2726369 1
 
1.6%
126.3222876 1
 
1.6%
Other values (39) 39
61.9%
ValueCountFrequency (%)
126.2329451 1
1.6%
126.2355124 1
1.6%
126.2542892 1
1.6%
126.2726369 1
1.6%
126.3222876 1
1.6%
126.3266594 1
1.6%
126.3284065 1
1.6%
126.3805657 1
1.6%
126.3818113 1
1.6%
126.4247975 1
1.6%
ValueCountFrequency (%)
126.911425 1
1.6%
126.9096023 1
1.6%
126.904899 2
3.2%
126.9027628 1
1.6%
126.8794453 1
1.6%
126.8143923 2
3.2%
126.813389 1
1.6%
126.8124756 2
3.2%
126.7503718 1
1.6%
126.7034071 2
3.2%

전화번호
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
064-760-3665
5 
064-760-3657
5 
064-760-4315
 
4
064-760-3637
 
4
064-784-2274
 
4
Other values (24)
41 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique15 ?
Unique (%)23.8%

Sample

1st row064-760-4315
2nd row064-760-4117
3rd row064-760-4218
4th row064-760-4218
5th row064-760-3657

Common Values

ValueCountFrequency (%)
064-760-3665 5
 
7.9%
064-760-3657 5
 
7.9%
064-760-4315 4
 
6.3%
064-760-3637 4
 
6.3%
064-784-2274 4
 
6.3%
064-760-3638 4
 
6.3%
064-739-4782 3
 
4.8%
064-760-3652 3
 
4.8%
064-760-4117 3
 
4.8%
064-760-3626 3
 
4.8%
Other values (19) 25
39.7%

Length

2023-12-12T23:46:59.728401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
064-760-3665 5
 
7.9%
064-760-3657 5
 
7.9%
064-760-4315 4
 
6.3%
064-760-3637 4
 
6.3%
064-784-2274 4
 
6.3%
064-760-3638 4
 
6.3%
064-760-3626 3
 
4.8%
064-760-3632 3
 
4.8%
064-739-4781 3
 
4.8%
064-760-4117 3
 
4.8%
Other values (19) 25
39.7%

상세정보
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
https://www.seogwipo.go.kr/field/living.htm
63 

Length

Max length43
Median length43
Mean length43
Min length43

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.seogwipo.go.kr/field/living.htm
2nd rowhttps://www.seogwipo.go.kr/field/living.htm
3rd rowhttps://www.seogwipo.go.kr/field/living.htm
4th rowhttps://www.seogwipo.go.kr/field/living.htm
5th rowhttps://www.seogwipo.go.kr/field/living.htm

Common Values

ValueCountFrequency (%)
https://www.seogwipo.go.kr/field/living.htm 63
100.0%

Length

2023-12-12T23:46:59.844020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:46:59.958010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.seogwipo.go.kr/field/living.htm 63
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-09-25
63 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-25
2nd row2023-09-25
3rd row2023-09-25
4th row2023-09-25
5th row2023-09-25

Common Values

ValueCountFrequency (%)
2023-09-25 63
100.0%

Length

2023-12-12T23:47:00.079443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:47:00.200198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-25 63
100.0%

Interactions

2023-12-12T23:46:56.704905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:46:56.531000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:46:56.808145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:46:56.609459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:47:00.256672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분경기장종목위치위도경도전화번호
구분1.0001.0001.0000.0000.0000.0000.501
경기장1.0001.0001.0001.0001.0001.0001.000
종목1.0001.0001.0000.0000.0000.0000.824
위치0.0001.0000.0001.0001.0001.0000.981
위도0.0001.0000.0001.0001.0000.8390.925
경도0.0001.0000.0001.0000.8391.0000.949
전화번호0.5011.0000.8240.9810.9250.9491.000
2023-12-12T23:47:00.364616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분전화번호종목
구분1.0000.1240.918
전화번호0.1241.0000.313
종목0.9180.3131.000
2023-12-12T23:47:00.469585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분종목전화번호
위도1.0000.7680.0000.0000.551
경도0.7681.0000.0000.0000.585
구분0.0000.0001.0000.9180.124
종목0.0000.0000.9181.0000.313
전화번호0.5510.5850.1240.3131.000

Missing values

2023-12-12T23:46:56.974214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:46:57.120260image/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

구분경기장종목위치위도경도전화번호상세정보데이터기준일자
0게이트볼장보성리전천후게이트볼장게이트볼제주특별자치도 서귀포시 대정읍 추사로 93-1133.25104126.272637064-760-4315https://www.seogwipo.go.kr/field/living.htm2023-09-25
1게이트볼장태흥리농어촌복합체육시설게이트볼제주특별자치도 서귀포시 남원읍 태위로 988-533.288369126.750372064-760-4117https://www.seogwipo.go.kr/field/living.htm2023-09-25
2게이트볼장성산읍전천후게이트볼장게이트볼제주특별자치도 서귀포시 서성일로 1222번길 3633.444752126.909602064-760-4218https://www.seogwipo.go.kr/field/living.htm2023-09-25
3게이트볼장성산서부전천후게이트볼장게이트볼제주특별자치도 서귀포시 신난로 1633.386901126.879445064-760-4218https://www.seogwipo.go.kr/field/living.htm2023-09-25
4게이트볼장표선전천후게이트볼장게이트볼제주특별자치도 서귀포시 표선면 한마음초등로 39633.353188126.813389064-760-3657https://www.seogwipo.go.kr/field/living.htm2023-09-25
5게이트볼장대정전천후게이트볼장게이트볼제주특별자치도 서귀포시 최남단해안로 109번길 6733.217572126.254289064-760-4018https://www.seogwipo.go.kr/field/living.htm2023-09-25
6게이트볼장남원위미전천후게이트볼장게이트볼제주특별자치도 서귀포시 위미중앙로 196번길 22-2433.270692126.662023064-760-4117https://www.seogwipo.go.kr/field/living.htm2023-09-25
7게이트볼장남원전천후게이트볼장게이트볼제주특별자치도 서귀포시 남원읍 태위로 551-2733.277883126.703407064-760-4117https://www.seogwipo.go.kr/field/living.htm2023-09-25
8게이트볼장중문동전천후게이트볼장게이트볼제주특별자치도 서귀포시 색달로 199-2233.264366126.424797064-760-3632https://www.seogwipo.go.kr/field/living.htm2023-09-25
9게이트볼장강정동전천후게이트볼장게이트볼제주특별자치도 서귀포시 강정통물로 5533.232846126.474733064-760-3632https://www.seogwipo.go.kr/field/living.htm2023-09-25
구분경기장종목위치위도경도전화번호상세정보데이터기준일자
53파크골프장칠십리 파크골프장골프제주특별자치도 서귀포시 서홍동 576-933.247229126.553626064-760-3637https://www.seogwipo.go.kr/field/living.htm2023-09-25
54파크골프장강창학 파크골프장골프제주특별자치도 서귀포시 강정동 135333.257314126.499695064-760-3637https://www.seogwipo.go.kr/field/living.htm2023-09-25
55종합경기장표선생활 체육관 주경기장다종목제주특별자치도 서귀포시 표선면 한마음초등로 39933.354264126.814392064-760-3657https://www.seogwipo.go.kr/field/living.htm2023-09-25
56종합경기장안덕생활 체육관 주경기장다종목제주특별자치도 서귀포시 안덕면 화순문화로 22번길 15-133.254976126.326659064-760-4315https://www.seogwipo.go.kr/field/living.htm2023-09-25
57종합경기장성산국민 체육센터 주경기장다종목제주특별자치도 서귀포시 성산읍 일주동로 402433.466758126.904899064-784-2274https://www.seogwipo.go.kr/field/living.htm2023-09-25
58종합경기장대정문화 체육센터 주경기장다종목제주특별자치도 서귀포시 대정읍 암반수마농로 41933.263927126.235512064-760-3651https://www.seogwipo.go.kr/field/living.htm2023-09-25
59종합경기장남원생활 체육관 주경기장다종목제주특별자치도 서귀포시 남원읍 태위로 551-2733.277883126.703407064-760-3652https://www.seogwipo.go.kr/field/living.htm2023-09-25
60종합경기장제주공천포전지훈련 센터 주경기장전지훈련장제주특별자치도 서귀포시 신례로 9633.277122126.639167064-760-3665https://www.seogwipo.go.kr/field/living.htm2023-09-25
61종합경기장강창학 종합B구장문화+집회시설및체육시설제주특별자치도 서귀포시 중산간서로 9533.259873126.501775064-739-4781https://www.seogwipo.go.kr/field/living.htm2023-09-25
62종합경기장강창학 종합A구장문화+집회시설및체육시설제주특별자치도 서귀포시 중산간서로 9533.259873126.501775064-739-4781https://www.seogwipo.go.kr/field/living.htm2023-09-25