Overview

Dataset statistics

Number of variables20
Number of observations80
Missing cells106
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory165.7 B

Variable types

Categorical12
Text4
Numeric2
DateTime2

Dataset

Description제주 마을관광 정보 데이터로 공공데이터 뉴딜 사업으로 구축된 데이터입니다. 제주도 마을별 해양레저스포츠에 대한 데이터로 해양레저스포츠의 유형과 주소, 위치 등의 항목을 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15109354/fileData.do

Alerts

문화체육업종명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
데이터기준일자 has constant value ""Constant
마을명 is highly overall correlated with 위도 and 8 other fieldsHigh correlation
안전시설현황 is highly overall correlated with 위도 and 10 other fieldsHigh correlation
주변환경유형 is highly overall correlated with 마을명 and 8 other fieldsHigh correlation
주차가능수 is highly overall correlated with 위도 and 10 other fieldsHigh correlation
읍면동명 is highly overall correlated with 위도 and 8 other fieldsHigh correlation
시군구명 is highly overall correlated with 위도 and 8 other fieldsHigh correlation
행정리명 is highly overall correlated with 위도 and 8 other fieldsHigh correlation
해양레저스포츠유형 is highly overall correlated with 주변환경유형 and 2 other fieldsHigh correlation
편익시설현황 is highly overall correlated with 경도 and 6 other fieldsHigh correlation
상세영업상태명 is highly overall correlated with 마을명 and 5 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 6 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 7 other fieldsHigh correlation
상세영업상태명 is highly imbalanced (71.4%)Imbalance
주차가능수 is highly imbalanced (87.8%)Imbalance
소재지전화번호 has 28 (35.0%) missing valuesMissing
소재지도로명주소 has 5 (6.2%) missing valuesMissing
인허가일자 has 73 (91.2%) missing valuesMissing
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:16:35.298439
Analysis finished2023-12-12 06:16:38.196848
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을명
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
월정리마을
10 
애월리마을
8 
곽지리마을
6 
신양리마을
5 
신창리마을
 
4
Other values (30)
47 

Length

Max length8
Median length5
Mean length5.125
Min length4

Unique

Unique18 ?
Unique (%)22.5%

Sample

1st row위미2리마을
2nd row상모3리마을
3rd row하모1리마을
4th row하모1리마을
5th row하모1리마을

Common Values

ValueCountFrequency (%)
월정리마을 10
 
12.5%
애월리마을 8
 
10.0%
곽지리마을 6
 
7.5%
신양리마을 5
 
6.2%
신창리마을 4
 
5.0%
협재리마을 3
 
3.8%
표선리마을 3
 
3.8%
함덕리마을 3
 
3.8%
하도리마을 3
 
3.8%
하모1리마을 3
 
3.8%
Other values (25) 32
40.0%

Length

2023-12-12T15:16:38.274665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월정리마을 10
 
12.5%
애월리마을 8
 
10.0%
곽지리마을 6
 
7.5%
신양리마을 5
 
6.2%
신창리마을 4
 
5.0%
협재리마을 3
 
3.8%
표선리마을 3
 
3.8%
함덕리마을 3
 
3.8%
하도리마을 3
 
3.8%
하모1리마을 3
 
3.8%
Other values (25) 32
40.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
제주시
59 
서귀포시
21 

Length

Max length4
Median length3
Mean length3.2625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 59
73.8%
서귀포시 21
 
26.2%

Length

2023-12-12T15:16:38.424344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:38.857358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 59
73.8%
서귀포시 21
 
26.2%

읍면동명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
애월읍
16 
구좌읍
15 
한림읍
11 
성산읍
10 
한경면
10 
Other values (7)
18 

Length

Max length4
Median length3
Mean length3.1875
Min length3

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row남원읍
2nd row대정읍
3rd row대정읍
4th row대정읍
5th row대정읍

Common Values

ValueCountFrequency (%)
애월읍 16
20.0%
구좌읍 15
18.8%
한림읍 11
13.8%
성산읍 10
12.5%
한경면 10
12.5%
대정읍 4
 
5.0%
표선면 4
 
5.0%
조천읍 4
 
5.0%
하효동 2
 
2.5%
우도면 2
 
2.5%
Other values (2) 2
 
2.5%

Length

2023-12-12T15:16:38.963671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
애월읍 16
20.0%
구좌읍 16
20.0%
한림읍 11
13.8%
성산읍 10
12.5%
한경면 10
12.5%
대정읍 4
 
5.0%
표선면 4
 
5.0%
조천읍 4
 
5.0%
하효동 2
 
2.5%
우도면 2
 
2.5%

행정리명
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
월정리
10 
애월리
8 
곽지리
6 
신양리
5 
신창리
 
4
Other values (30)
47 

Length

Max length5
Median length3
Mean length3.1
Min length2

Unique

Unique18 ?
Unique (%)22.5%

Sample

1st row위미2리
2nd row상모3리
3rd row하모1리
4th row하모1리
5th row하모1리

Common Values

ValueCountFrequency (%)
월정리 10
 
12.5%
애월리 8
 
10.0%
곽지리 6
 
7.5%
신양리 5
 
6.2%
신창리 4
 
5.0%
협재리 3
 
3.8%
표선리 3
 
3.8%
함덕리 3
 
3.8%
하도리 3
 
3.8%
하모1리 3
 
3.8%
Other values (25) 32
40.0%

Length

2023-12-12T15:16:39.083200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월정리 10
 
12.5%
애월리 8
 
10.0%
곽지리 6
 
7.5%
신양리 5
 
6.2%
신창리 4
 
5.0%
협재리 3
 
3.8%
표선리 3
 
3.8%
함덕리 3
 
3.8%
하도리 3
 
3.8%
하모1리 3
 
3.8%
Other values (25) 32
40.0%

사업장명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T15:16:39.377601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.4375
Min length2

Characters and Unicode

Total characters595
Distinct characters178
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

Unique80 ?
Unique (%)100.0%

Sample

1st row프리다이브아시아
2nd row제주스쿠바아로파
3rd row스쿠버아카데미
4th row케이제주씨워킹
5th rowM1971 요트투어
ValueCountFrequency (%)
제주 3
 
2.7%
하도 2
 
1.8%
서프포인트 2
 
1.8%
프리다이브아시아 1
 
0.9%
우도다이브 1
 
0.9%
형들 1
 
0.9%
잠수하는 1
 
0.9%
우리동네 1
 
0.9%
다이빙 1
 
0.9%
함덕스쿠버 1
 
0.9%
Other values (96) 96
87.3%
2023-12-12T15:16:39.892699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 31
 
5.2%
30
 
5.0%
프 22
 
3.7%
이 22
 
3.7%
제 22
 
3.7%
주 20
 
3.4%
스 17
 
2.9%
트 16
 
2.7%
다 13
 
2.2%
브 12
 
2.0%
Other values (168) 390
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
93.6%
Space Separator 30
 
5.0%
Decimal Number 4
 
0.7%
Uppercase Letter 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 31
 
5.6%
프 22
 
3.9%
이 22
 
3.9%
제 22
 
3.9%
주 20
 
3.6%
스 17
 
3.1%
트 16
 
2.9%
다 13
 
2.3%
브 12
 
2.2%
핑 12
 
2.2%
Other values (160) 370
66.4%
Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
G 1
25.0%
I 1
25.0%
M 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
9 1
25.0%
7 1
25.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
93.6%
Common 34
 
5.7%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 31
 
5.6%
프 22
 
3.9%
이 22
 
3.9%
제 22
 
3.9%
주 20
 
3.6%
스 17
 
3.1%
트 16
 
2.9%
다 13
 
2.3%
브 12
 
2.2%
핑 12
 
2.2%
Other values (160) 370
66.4%
Common
ValueCountFrequency (%)
30
88.2%
1 2
 
5.9%
9 1
 
2.9%
7 1
 
2.9%
Latin
ValueCountFrequency (%)
H 1
25.0%
G 1
25.0%
I 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
93.6%
ASCII 38
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 31
 
5.6%
프 22
 
3.9%
이 22
 
3.9%
제 22
 
3.9%
주 20
 
3.6%
스 17
 
3.1%
트 16
 
2.9%
다 13
 
2.3%
브 12
 
2.2%
핑 12
 
2.2%
Other values (160) 370
66.4%
ASCII
ValueCountFrequency (%)
30
78.9%
1 2
 
5.3%
H 1
 
2.6%
G 1
 
2.6%
I 1
 
2.6%
M 1
 
2.6%
9 1
 
2.6%
7 1
 
2.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
수상오락 서비스업
80 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수상오락 서비스업
2nd row수상오락 서비스업
3rd row수상오락 서비스업
4th row수상오락 서비스업
5th row수상오락 서비스업

Common Values

ValueCountFrequency (%)
수상오락 서비스업 80
100.0%

Length

2023-12-12T15:16:40.052743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:40.173874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수상오락 80
50.0%
서비스업 80
50.0%

해양레저스포츠유형
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
서핑
19 
스킨스쿠버
8 
배낚시
6 
서핑+보드
5 
스쿠버다이빙
4 
Other values (24)
38 

Length

Max length65
Median length46
Mean length5.9875
Min length2

Unique

Unique17 ?
Unique (%)21.2%

Sample

1st row프리다이빙
2nd row다이빙
3rd row스쿠버다이빙
4th row씨워킹+돌고래투어+패들보드+카약+스노클링+제트스키
5th row요트

Common Values

ValueCountFrequency (%)
서핑 19
23.8%
스킨스쿠버 8
 
10.0%
배낚시 6
 
7.5%
서핑+보드 5
 
6.2%
스쿠버다이빙 4
 
5.0%
요트 4
 
5.0%
제트보트 4
 
5.0%
카약 4
 
5.0%
프리다이빙 3
 
3.8%
스노클링+해녀체험+다이빙 2
 
2.5%
Other values (19) 21
26.2%

Length

2023-12-12T15:16:40.289149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서핑 19
22.4%
스킨스쿠버 8
 
9.4%
배낚시 6
 
7.1%
서핑+보드 5
 
5.9%
카약 5
 
5.9%
스쿠버다이빙 4
 
4.7%
요트 4
 
4.7%
제트보트 4
 
4.7%
프리다이빙 3
 
3.5%
서핑+윈드서핑 2
 
2.4%
Other values (22) 25
29.4%

소재지전화번호
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing28
Missing (%)35.0%
Memory size772.0 B
2023-12-12T15:16:40.515690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.076923
Min length9

Characters and Unicode

Total characters680
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

Unique52 ?
Unique (%)100.0%

Sample

1st row0507-1332-3769
2nd row070-4790-4007
3rd row064-794-1117
4th row070-8222-5224
5th row0507-1380-5001
ValueCountFrequency (%)
064-711-1786 1
 
1.9%
0507-1374-6399 1
 
1.9%
0507-1338-6346 1
 
1.9%
0507-1312-9296 1
 
1.9%
064-746-0155 1
 
1.9%
0507-1319-0457 1
 
1.9%
070-8900-7788 1
 
1.9%
0507-1343-9101 1
 
1.9%
0507-1374-1336 1
 
1.9%
0507-1487-1126 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T15:16:40.994347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 117
17.2%
- 103
15.1%
7 87
12.8%
1 64
9.4%
4 57
8.4%
3 54
7.9%
6 50
7.4%
5 42
 
6.2%
8 37
 
5.4%
2 36
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 577
84.9%
Dash Punctuation 103
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 117
20.3%
7 87
15.1%
1 64
11.1%
4 57
9.9%
3 54
9.4%
6 50
8.7%
5 42
 
7.3%
8 37
 
6.4%
2 36
 
6.2%
9 33
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 680
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 117
17.2%
- 103
15.1%
7 87
12.8%
1 64
9.4%
4 57
8.4%
3 54
7.9%
6 50
7.4%
5 42
 
6.2%
8 37
 
5.4%
2 36
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 117
17.2%
- 103
15.1%
7 87
12.8%
1 64
9.4%
4 57
8.4%
3 54
7.9%
6 50
7.4%
5 42
 
6.2%
8 37
 
5.4%
2 36
 
5.3%

소재지도로명주소
Text

MISSING 

Distinct75
Distinct (%)100.0%
Missing5
Missing (%)6.2%
Memory size772.0 B
2023-12-12T15:16:41.443197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length28.32
Min length21

Characters and Unicode

Total characters2124
Distinct characters145
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 남원읍 태위로 119
2nd row제주특별자치도 서귀포시 대정읍 최남단해안로 412 상모해녀의집
3rd row제주특별자치도 서귀포시 대정읍 하모백사로 54
4th row제주특별자치도 서귀포시 대정읍 최남단해안로 130
5th row제주특별자치도 서귀포시 대정읍 최남단해안로 128 M1971 요트클럽하우스
ValueCountFrequency (%)
제주특별자치도 75
 
17.8%
제주시 56
 
13.3%
서귀포시 19
 
4.5%
애월읍 16
 
3.8%
구좌읍 15
 
3.6%
한림읍 11
 
2.6%
해맞이해안로 9
 
2.1%
1층 9
 
2.1%
성산읍 8
 
1.9%
한경면 8
 
1.9%
Other values (152) 196
46.4%
2023-12-12T15:16:42.044747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
16.5%
주 135
 
6.4%
제 132
 
6.2%
1 93
 
4.4%
도 81
 
3.8%
시 76
 
3.6%
치 75
 
3.5%
자 75
 
3.5%
별 75
 
3.5%
특 75
 
3.5%
Other values (135) 957
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1458
68.6%
Space Separator 350
 
16.5%
Decimal Number 285
 
13.4%
Dash Punctuation 25
 
1.2%
Uppercase Letter 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 135
 
9.3%
제 132
 
9.1%
도 81
 
5.6%
시 76
 
5.2%
치 75
 
5.1%
자 75
 
5.1%
별 75
 
5.1%
특 75
 
5.1%
읍 59
 
4.0%
로 50
 
3.4%
Other values (119) 625
42.9%
Decimal Number
ValueCountFrequency (%)
1 93
32.6%
2 33
 
11.6%
4 28
 
9.8%
0 24
 
8.4%
6 21
 
7.4%
9 20
 
7.0%
3 20
 
7.0%
5 19
 
6.7%
7 18
 
6.3%
8 9
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
D 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
350
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1458
68.6%
Common 662
31.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 135
 
9.3%
제 132
 
9.1%
도 81
 
5.6%
시 76
 
5.2%
치 75
 
5.1%
자 75
 
5.1%
별 75
 
5.1%
특 75
 
5.1%
읍 59
 
4.0%
로 50
 
3.4%
Other values (119) 625
42.9%
Common
ValueCountFrequency (%)
350
52.9%
1 93
 
14.0%
2 33
 
5.0%
4 28
 
4.2%
- 25
 
3.8%
0 24
 
3.6%
6 21
 
3.2%
9 20
 
3.0%
3 20
 
3.0%
5 19
 
2.9%
Other values (3) 29
 
4.4%
Latin
ValueCountFrequency (%)
B 2
50.0%
D 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1458
68.6%
ASCII 666
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
52.6%
1 93
 
14.0%
2 33
 
5.0%
4 28
 
4.2%
- 25
 
3.8%
0 24
 
3.6%
6 21
 
3.2%
9 20
 
3.0%
3 20
 
3.0%
5 19
 
2.9%
Other values (6) 33
 
5.0%
Hangul
ValueCountFrequency (%)
주 135
 
9.3%
제 132
 
9.1%
도 81
 
5.6%
시 76
 
5.2%
치 75
 
5.1%
자 75
 
5.1%
별 75
 
5.1%
특 75
 
5.1%
읍 59
 
4.0%
로 50
 
3.4%
Other values (119) 625
42.9%

소재지지번주소
Text

Distinct75
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T15:16:42.405376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length25.225
Min length20

Characters and Unicode

Total characters2018
Distinct characters82
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)87.5%

Sample

1st row제주특별자치도 서귀포시 남원읍 위미리 2860
2nd row제주특별자치도 서귀포시 대정읍 상모리 1670-3
3rd row제주특별자치도 서귀포시 대정읍 하모리 584-7
4th row제주특별자치도 서귀포시 대정읍 하모리 646-20
5th row제주특별자치도 서귀포시 대정읍 하모리 646-20
ValueCountFrequency (%)
제주특별자치도 80
19.9%
제주시 59
 
14.7%
서귀포시 21
 
5.2%
애월읍 16
 
4.0%
구좌읍 16
 
4.0%
한경면 11
 
2.7%
한림읍 11
 
2.7%
성산읍 10
 
2.5%
월정리 10
 
2.5%
애월리 8
 
2.0%
Other values (110) 160
39.8%
2023-12-12T15:16:42.926046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
 
16.0%
제 139
 
6.9%
주 139
 
6.9%
도 85
 
4.2%
시 83
 
4.1%
특 80
 
4.0%
별 80
 
4.0%
자 80
 
4.0%
치 80
 
4.0%
리 78
 
3.9%
Other values (72) 852
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1304
64.6%
Decimal Number 337
 
16.7%
Space Separator 323
 
16.0%
Dash Punctuation 54
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 139
 
10.7%
주 139
 
10.7%
도 85
 
6.5%
시 83
 
6.4%
특 80
 
6.1%
별 80
 
6.1%
자 80
 
6.1%
치 80
 
6.1%
리 78
 
6.0%
읍 62
 
4.8%
Other values (59) 398
30.5%
Decimal Number
ValueCountFrequency (%)
1 70
20.8%
2 47
13.9%
4 45
13.4%
7 31
9.2%
3 30
8.9%
6 29
8.6%
0 29
8.6%
5 21
 
6.2%
9 19
 
5.6%
8 16
 
4.7%
Space Separator
ValueCountFrequency (%)
322
99.7%
  1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
64.6%
Common 714
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 139
 
10.7%
주 139
 
10.7%
도 85
 
6.5%
시 83
 
6.4%
특 80
 
6.1%
별 80
 
6.1%
자 80
 
6.1%
치 80
 
6.1%
리 78
 
6.0%
읍 62
 
4.8%
Other values (59) 398
30.5%
Common
ValueCountFrequency (%)
322
45.1%
1 70
 
9.8%
- 54
 
7.6%
2 47
 
6.6%
4 45
 
6.3%
7 31
 
4.3%
3 30
 
4.2%
6 29
 
4.1%
0 29
 
4.1%
5 21
 
2.9%
Other values (3) 36
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1304
64.6%
ASCII 713
35.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
322
45.2%
1 70
 
9.8%
- 54
 
7.6%
2 47
 
6.6%
4 45
 
6.3%
7 31
 
4.3%
3 30
 
4.2%
6 29
 
4.1%
0 29
 
4.1%
5 21
 
2.9%
Other values (2) 35
 
4.9%
Hangul
ValueCountFrequency (%)
제 139
 
10.7%
주 139
 
10.7%
도 85
 
6.5%
시 83
 
6.4%
특 80
 
6.1%
별 80
 
6.1%
자 80
 
6.1%
치 80
 
6.1%
리 78
 
6.0%
읍 62
 
4.8%
Other values (59) 398
30.5%
None
ValueCountFrequency (%)
  1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.432468
Minimum33.199958
Maximum33.563818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T15:16:43.199086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.199958
5-th percentile33.248287
Q133.361036
median33.449926
Q333.49836
95-th percentile33.555277
Maximum33.563818
Range0.36386009
Interquartile range (IQR)0.13732412

Descriptive statistics

Standard deviation0.094413618
Coefficient of variation (CV)0.0028240098
Kurtosis-0.13207183
Mean33.432468
Median Absolute Deviation (MAD)0.061906405
Skewness-0.65785147
Sum2674.5974
Variance0.0089139312
MonotonicityNot monotonic
2023-12-12T15:16:43.444526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.54724343 2
 
2.5%
33.4664378 2
 
2.5%
33.27498255 1
 
1.2%
33.462325 1
 
1.2%
33.35746739 1
 
1.2%
33.54401041 1
 
1.2%
33.5370517 1
 
1.2%
33.4967668 1
 
1.2%
33.50314029 1
 
1.2%
33.48419855 1
 
1.2%
Other values (68) 68
85.0%
ValueCountFrequency (%)
33.19995803 1
1.2%
33.21012823 1
1.2%
33.21043023 1
1.2%
33.2161555 1
1.2%
33.24997859 1
1.2%
33.25399607 1
1.2%
33.27498255 1
1.2%
33.32379957 1
1.2%
33.32397746 1
1.2%
33.32454892 1
1.2%
ValueCountFrequency (%)
33.56381812 1
1.2%
33.55822846 1
1.2%
33.55567438 1
1.2%
33.55530859 1
1.2%
33.55527542 1
1.2%
33.55507964 1
1.2%
33.55492589 1
1.2%
33.55473911 1
1.2%
33.55471185 1
1.2%
33.55462399 1
1.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.53814
Minimum126.16601
Maximum126.96767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T15:16:43.652268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16601
5-th percentile126.18054
Q1126.26305
median126.3898
Q3126.83587
95-th percentile126.92428
Maximum126.96767
Range0.8016576
Interquartile range (IQR)0.57282192

Descriptive statistics

Standard deviation0.29459937
Coefficient of variation (CV)0.0023281469
Kurtosis-1.7763724
Mean126.53814
Median Absolute Deviation (MAD)0.22259865
Skewness0.14161134
Sum10123.051
Variance0.08678879
MonotonicityNot monotonic
2023-12-12T15:16:43.845389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6569979 2
 
2.5%
126.323006 2
 
2.5%
126.6601743 1
 
1.2%
126.310506 1
 
1.2%
126.1830207 1
 
1.2%
126.6682797 1
 
1.2%
126.6800213 1
 
1.2%
126.9446065 1
 
1.2%
126.9676681 1
 
1.2%
126.4022228 1
 
1.2%
Other values (68) 68
85.0%
ValueCountFrequency (%)
126.1660105 1
1.2%
126.168386 1
1.2%
126.1793196 1
1.2%
126.1794078 1
1.2%
126.1806018 1
1.2%
126.1808394 1
1.2%
126.1830207 1
1.2%
126.1835042 1
1.2%
126.1959068 1
1.2%
126.2020956 1
1.2%
ValueCountFrequency (%)
126.9676681 1
1.2%
126.9446065 1
1.2%
126.9330976 1
1.2%
126.9268038 1
1.2%
126.9241466 1
1.2%
126.9237127 1
1.2%
126.9220616 1
1.2%
126.921256 1
1.2%
126.9192022 1
1.2%
126.9181886 1
1.2%

인허가일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing73
Missing (%)91.2%
Memory size772.0 B
Minimum2009-09-25 00:00:00
Maximum2021-08-10 00:00:00
2023-12-12T15:16:43.997766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:44.153610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
13
80 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 80
100.0%

Length

2023-12-12T15:16:44.328505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:44.466362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 80
100.0%

상세영업상태명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
영업중
76 
영업중
 
4

Length

Max length4
Median length3
Mean length3.05
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 76
95.0%
영업중 4
 
5.0%

Length

2023-12-12T15:16:44.604662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:44.733671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 80
100.0%

주변환경유형
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
21 
해변
18 
해변
16 
해수욕장
10 
바다
6 
Other values (3)
9 

Length

Max length6
Median length4
Mean length3.075
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row<NA>
2nd row바다
3rd row바다
4th row방파제
5th row방파제

Common Values

ValueCountFrequency (%)
<NA> 21
26.2%
해변 18
22.5%
해변 16
20.0%
해수욕장 10
12.5%
바다 6
 
7.5%
방파제 4
 
5.0%
포구 4
 
5.0%
바다+리조트 1
 
1.2%

Length

2023-12-12T15:16:44.896527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:45.075032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해변 34
42.5%
na 21
26.2%
해수욕장 10
 
12.5%
바다 6
 
7.5%
방파제 4
 
5.0%
포구 4
 
5.0%
바다+리조트 1
 
1.2%

안전시설현황
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
56 
구명조끼+비상약품
11 
약국
6 
소화기+구명조끼+구급약품
 
4
구명조끼
 
1
Other values (2)
 
2

Length

Max length13
Median length4
Mean length5.1
Min length2

Unique

Unique3 ?
Unique (%)3.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
70.0%
구명조끼+비상약품 11
 
13.8%
약국 6
 
7.5%
소화기+구명조끼+구급약품 4
 
5.0%
구명조끼 1
 
1.2%
구명부환+소화기+구급약품 1
 
1.2%
구급약품 1
 
1.2%

Length

2023-12-12T15:16:45.251933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:45.393955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
70.0%
구명조끼+비상약품 11
 
13.8%
약국 6
 
7.5%
소화기+구명조끼+구급약품 4
 
5.0%
구명조끼 1
 
1.2%
구명부환+소화기+구급약품 1
 
1.2%
구급약품 1
 
1.2%

편익시설현황
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
22 
주차장+무료WIFI+화장실
9 
샤워실+공용주차장+화장실
6 
단체석+주차장+무료WIFI+화장실
4 
샤워장+화장실+쓰레기통
4 
Other values (23)
35 

Length

Max length29
Median length19
Mean length9.65
Min length3

Unique

Unique16 ?
Unique (%)20.0%

Sample

1st row<NA>
2nd row<NA>
3rd row화장실+쓰레기통+샤워시설
4th row화장실+쓰레기통
5th row화장실+쓰레기통

Common Values

ValueCountFrequency (%)
<NA> 22
27.5%
주차장+무료WIFI+화장실 9
11.2%
샤워실+공용주차장+화장실 6
 
7.5%
단체석+주차장+무료WIFI+화장실 4
 
5.0%
샤워장+화장실+쓰레기통 4
 
5.0%
주차장+화장실 4
 
5.0%
화장실+쓰레기통 3
 
3.8%
화장실 3
 
3.8%
주차장 3
 
3.8%
화장실+무료WIFI 2
 
2.5%
Other values (18) 20
25.0%

Length

2023-12-12T15:16:45.546879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 22
27.5%
주차장+무료wifi+화장실 9
11.2%
샤워실+공용주차장+화장실 6
 
7.5%
단체석+주차장+무료wifi+화장실 4
 
5.0%
샤워장+화장실+쓰레기통 4
 
5.0%
주차장+화장실 4
 
5.0%
화장실+쓰레기통 3
 
3.8%
화장실 3
 
3.8%
주차장 3
 
3.8%
화장실+주차장+무료wifi 2
 
2.5%
Other values (18) 20
25.0%

주차가능수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
78 
15
 
1
20
 
1

Length

Max length4
Median length4
Mean length3.95
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 78
97.5%
15 1
 
1.2%
20 1
 
1.2%

Length

2023-12-12T15:16:45.717638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:45.868382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
97.5%
15 1
 
1.2%
20 1
 
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2022-09-30 00:00:00
Maximum2022-09-30 00:00:00
2023-12-12T15:16:45.966549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:46.057053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:16:37.286803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:37.042972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:37.394151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:37.170840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:16:46.161733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을명시군구명읍면동명행정리명사업장명해양레저스포츠유형소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태명주변환경유형안전시설현황편익시설현황주차가능수
마을명1.0001.0000.9951.0001.0000.9151.0001.0001.0000.9981.0001.0001.0000.9551.0000.9260.000
시군구명1.0001.0001.0001.0001.0000.3871.0001.0001.0000.7700.827NaN0.4550.667NaN0.796NaN
읍면동명0.9951.0001.0000.9951.0000.7061.0001.0000.9230.9460.9741.0000.4640.8311.0000.905NaN
행정리명1.0001.0000.9951.0001.0000.9151.0001.0001.0000.9981.0001.0001.0000.9551.0000.9260.000
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.000
해양레저스포츠유형0.9150.3870.7060.9151.0001.0001.0001.0000.0000.7950.8561.0000.6450.8711.0000.7750.000
소재지전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.000
소재지지번주소1.0001.0000.9231.0001.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9970.000
위도0.9980.7700.9460.9981.0000.7951.0001.0001.0001.0000.8881.0000.3350.6960.9890.8500.000
경도1.0000.8270.9741.0001.0000.8561.0001.0001.0000.8881.0001.0000.1440.6590.9590.9270.000
인허가일자1.000NaN1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000NaN1.0001.0001.000NaN
상세영업상태명1.0000.4550.4641.0001.0000.6451.0001.0001.0000.3350.144NaN1.0000.717NaN1.000NaN
주변환경유형0.9550.6670.8310.9551.0000.8711.0001.0001.0000.6960.6591.0000.7171.0000.8870.963NaN
안전시설현황1.000NaN1.0001.0001.0001.0001.0001.0001.0000.9890.9591.000NaN0.8871.0001.000NaN
편익시설현황0.9260.7960.9050.9261.0000.7751.0001.0000.9970.8500.9271.0001.0000.9631.0001.0000.000
주차가능수0.000NaNNaN0.0000.0000.0000.0000.0000.0000.0000.000NaNNaNNaNNaN0.0001.000
2023-12-12T15:16:46.372043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을명안전시설현황주변환경유형주차가능수읍면동명시군구명행정리명해양레저스포츠유형편익시설현황상세영업상태명
마을명1.0000.7820.6661.0000.7660.7601.0000.4150.4960.760
안전시설현황0.7821.0000.7021.0000.9491.0000.7820.6670.8161.000
주변환경유형0.6660.7021.0001.0000.6280.6880.6660.5120.6420.741
주차가능수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
읍면동명0.7660.9490.6281.0001.0000.9340.7660.2670.5130.335
시군구명0.7601.0000.6881.0000.9341.0000.7600.2600.5250.301
행정리명1.0000.7820.6661.0000.7660.7601.0000.4150.4960.760
해양레저스포츠유형0.4150.6670.5121.0000.2670.2600.4151.0000.2650.449
편익시설현황0.4960.8160.6421.0000.5130.5250.4960.2651.0000.744
상세영업상태명0.7601.0000.7411.0000.3350.3010.7600.4490.7441.000
2023-12-12T15:16:46.557959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도마을명시군구명읍면동명행정리명해양레저스포츠유형상세영업상태명주변환경유형안전시설현황편익시설현황주차가능수
위도1.0000.5220.7710.5740.7850.7710.3600.2410.4610.8380.4271.000
경도0.5221.0000.7910.6210.8250.7910.4660.0980.4620.8210.5591.000
마을명0.7710.7911.0000.7600.7661.0000.4150.7600.6660.7820.4961.000
시군구명0.5740.6210.7601.0000.9340.7600.2600.3010.6881.0000.5251.000
읍면동명0.7850.8250.7660.9341.0000.7660.2670.3350.6280.9490.5131.000
행정리명0.7710.7911.0000.7600.7661.0000.4150.7600.6660.7820.4961.000
해양레저스포츠유형0.3600.4660.4150.2600.2670.4151.0000.4490.5120.6670.2651.000
상세영업상태명0.2410.0980.7600.3010.3350.7600.4491.0000.7411.0000.7441.000
주변환경유형0.4610.4620.6660.6880.6280.6660.5120.7411.0000.7020.6421.000
안전시설현황0.8380.8210.7821.0000.9490.7820.6671.0000.7021.0000.8161.000
편익시설현황0.4270.5590.4960.5250.5130.4960.2650.7440.6420.8161.0001.000
주차가능수1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T15:16:37.583740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:16:37.890508image/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.
2023-12-12T15:16:38.091385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

마을명시군구명읍면동명행정리명사업장명문화체육업종명해양레저스포츠유형소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태코드상세영업상태명주변환경유형안전시설현황편익시설현황주차가능수데이터기준일자
0위미2리마을서귀포시남원읍위미2리프리다이브아시아수상오락 서비스업프리다이빙0507-1332-3769제주특별자치도 서귀포시 남원읍 태위로 119제주특별자치도 서귀포시 남원읍 위미리 286033.274983126.660174<NA>13영업중<NA><NA><NA><NA>2022-09-30
1상모3리마을서귀포시대정읍상모3리제주스쿠바아로파수상오락 서비스업다이빙070-4790-4007제주특별자치도 서귀포시 대정읍 최남단해안로 412 상모해녀의집제주특별자치도 서귀포시 대정읍 상모리 1670-333.199958126.275877<NA>13영업중바다<NA><NA><NA>2022-09-30
2하모1리마을서귀포시대정읍하모1리스쿠버아카데미수상오락 서비스업스쿠버다이빙064-794-1117제주특별자치도 서귀포시 대정읍 하모백사로 54제주특별자치도 서귀포시 대정읍 하모리 584-733.216155126.259016<NA>13영업중바다<NA>화장실+쓰레기통+샤워시설<NA>2022-09-30
3하모1리마을서귀포시대정읍하모1리케이제주씨워킹수상오락 서비스업씨워킹+돌고래투어+패들보드+카약+스노클링+제트스키070-8222-5224제주특별자치도 서귀포시 대정읍 최남단해안로 130제주특별자치도 서귀포시 대정읍 하모리 646-2033.21043126.257501<NA>13영업중방파제<NA>화장실+쓰레기통<NA>2022-09-30
4하모1리마을서귀포시대정읍하모1리M1971 요트투어수상오락 서비스업요트0507-1380-5001제주특별자치도 서귀포시 대정읍 최남단해안로 128 M1971 요트클럽하우스제주특별자치도 서귀포시 대정읍 하모리 646-2033.210128126.257131<NA>13영업중방파제<NA>화장실+쓰레기통<NA>2022-09-30
5고성리마을서귀포시성산읍고성리플레이스캠프제주수상오락 서비스업스쿠버다이빙0507-1340-3683제주특별자치도 서귀포시 성산읍 동류암로 20제주특별자치도 서귀포시 성산읍 고성리 297-133.449925126.918189<NA>13영업중해변<NA>주차장+화장실+무선WIFI<NA>2022-09-30
6고성리마을서귀포시성산읍고성리오조리레저파크수상오락 서비스업요트0507-1389-9218<NA>제주특별자치도 서귀포시 성산읍 고성리 275-233.454678126.923713<NA>13영업중바다<NA>화장실<NA>2022-09-30
7성산리마을서귀포시성산읍성산리월드제트보트수상오락 서비스업제트보트064-784-2337제주특별자치도 서귀포시 성산읍 성산등용로 112-7제주특별자치도 서귀포시 성산읍 성산리 347-933.471895126.933098<NA>13영업중바다<NA>마트+주차장+화장실<NA>2022-09-30
8시흥리마을서귀포시성산읍시흥리나잠다이브수상오락 서비스업다이빙070-7670-8253제주특별자치도 서귀포시 성산읍 해맞이해안로 2601-11제주특별자치도 서귀포시 성산읍 시흥리 11-633.478627126.91367<NA>13영업중바다<NA>화장실+주차장+무료WIFI<NA>2022-09-30
9시흥리마을서귀포시성산읍시흥리레저에 빠지다수상오락 서비스업서핑<NA>제주특별자치도 서귀포시 성산읍 시흥상동로 130 1층제주특별자치도 서귀포시 성산읍 시흥리 1183-7 1층33.479973126.897166<NA>13영업중바다<NA>화장실+주차장+무료WIFI<NA>2022-09-30
마을명시군구명읍면동명행정리명사업장명문화체육업종명해양레저스포츠유형소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태코드상세영업상태명주변환경유형안전시설현황편익시설현황주차가능수데이터기준일자
70귀덕2리마을제주시한림읍귀덕2리레드서브마린수상오락 서비스업스노클링+해녀체험+다이빙064-796-7710제주특별자치도 제주시 한림읍 진질길 9-1제주특별자치도 제주시 한림읍 귀덕리 3962-133.439802126.277833<NA>13영업중<NA>구명조끼+비상약품샤워실+공용주차장+화장실<NA>2022-09-30
71귀덕2리마을제주시한림읍귀덕2리잠수교육연구협회수상오락 서비스업스노클링+해녀체험+다이빙064-796-1515제주특별자치도 제주시 한림읍 한림해안로 621제주특별자치도 제주시 한림읍 귀덕리 4110-233.442696126.2785132015-03-2013영업중<NA>구명조끼+비상약품샤워실+공용주차장+화장실<NA>2022-09-30
72금능리마을제주시한림읍금능리선인장서프 금능수상오락 서비스업서핑+패들보트0507-1423-4568제주특별자치도 제주시 한림읍 금능6길 19제주특별자치도 제주시 한림읍 금능리 146233.388583126.231292021-05-0113영업중해변구명조끼+비상약품샤워실+주차장+화장실<NA>2022-09-30
73금능리마을제주시한림읍금능리수중산책수상오락 서비스업스킨스쿠버064-796-0800제주특별자치도 제주시 한림읍 금능4길 12-11제주특별자치도 제주시 한림읍 금능리 1453-333.387457126.231101<NA>13영업중해변구명조끼+비상약품샤워실+주차장+화장실<NA>2022-09-30
74수원리마을제주시한림읍수원리테우마을 수원리 농어촌체험마을수상오락 서비스업스쿠버다이빙064-796-7222제주특별자치도 제주시 한림읍 한림해안로 271제주특별자치도 제주시 한림읍 수원리 724-233.42546126.26439<NA>13영업중포구구명조끼+비상약품주차장+화장실152022-09-30
75옹포리마을제주시한림읍옹포리제주프리다이빙 이너피스수상오락 서비스업스킨스쿠버<NA>제주특별자치도 제주시 한림읍 옹포남4길 8-1제주특별자치도 제주시 한림읍 옹포리 80133.397385126.2587042020-06-0613영업중포구구명조끼+비상약품주차장+화장실<NA>2022-09-30
76월령리마을제주시한림읍월령리제주빡빡이 스쿠버수상오락 서비스업스쿠버다이빙+스노클링064-794-1113제주특별자치도 제주시 한림읍 월령3길 36제주특별자치도 제주시 한림읍 월령리 31733.378692126.2167732012-11-2813영업중포구구명조끼+비상약품주차장+화장실+샤워실202022-09-30
77협재리마을제주시한림읍협재리제주협재서프수상오락 서비스업서핑+윈드서핑<NA>제주특별자치도 제주시 한림읍 한림로 349-1제주특별자치도 제주시 한림읍 협재리 2447-333.394525126.240832021-08-1013영업중<NA>구명조끼+비상약품샤워실+공용주차장+화장실<NA>2022-09-30
78협재리마을제주시한림읍협재리루트서프수상오락 서비스업서핑+윈드서핑0507-1469-8226제주특별자치도 제주시 한림읍 한림로 329-10제주특별자치도 제주시 한림읍 협재리 244733.393747126.239429<NA>13영업중<NA>구명조끼+비상약품샤워실+공용주차장+화장실<NA>2022-09-30
79협재리마을제주시한림읍협재리협재랜드수상오락 서비스업해양레저0507-1416-7739제주특별자치도 제주시 한림읍 협재1길 42제주특별자치도 제주시 한림읍 협재리 167733.398375126.244255<NA>13영업중<NA>구명조끼+비상약품샤워실+공용주차장+화장실<NA>2022-09-30