Overview

Dataset statistics

Number of variables28
Number of observations33
Missing cells134
Missing cells (%)14.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory238.0 B

Variable types

Text7
Categorical13
Numeric3
DateTime2
Boolean3

Dataset

Description제주 마을관광 정보 데이터로 공공데이터 뉴딜 사업으로 구축된 데이터입니다. 제주도 마을별 캠핑장에 대한 데이터로 캠핑장의 업종명과 주소, 위치 등의 항목을 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15109353/fileData.do

Alerts

화장실유무 has constant value ""Constant
샤워실유무 has constant value ""Constant
개수대유무 has constant value ""Constant
데이터기준일자 has constant value ""Constant
상세영업상태코드 is highly imbalanced (80.4%)Imbalance
상세영업상태명 is highly imbalanced (80.4%)Imbalance
소재지면적 is highly imbalanced (70.8%)Imbalance
카라반수 is highly imbalanced (52.8%)Imbalance
오토캠핑수 is highly imbalanced (67.0%)Imbalance
야영데크수 is highly imbalanced (61.0%)Imbalance
노지야영수 is highly imbalanced (70.8%)Imbalance
주차가능수 is highly imbalanced (62.7%)Imbalance
소재지전화번호 has 8 (24.2%) missing valuesMissing
소재지도로명주소 has 1 (3.0%) missing valuesMissing
인허가일자 has 4 (12.1%) missing valuesMissing
시설면적 has 26 (78.8%) missing valuesMissing
글램핑수 has 28 (84.8%) missing valuesMissing
화장실유무 has 21 (63.6%) missing valuesMissing
샤워실유무 has 22 (66.7%) missing valuesMissing
개수대유무 has 24 (72.7%) missing valuesMissing
사업장명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:21:25.209874
Analysis finished2023-12-12 14:21:25.736781
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을명
Text

Distinct26
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:21:25.859826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.5454545
Min length4

Characters and Unicode

Total characters183
Distinct characters56
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)63.6%

Sample

1st row태흥2리마을
2nd row태흥2리마을
3rd row일과1리마을
4th row난산리마을
5th row난산리마을
ValueCountFrequency (%)
유수암리마을 4
 
12.1%
교래삼다수마을 2
 
6.1%
어음2리마을 2
 
6.1%
태흥2리마을 2
 
6.1%
난산리마을 2
 
6.1%
광령1리마을 1
 
3.0%
납읍리마을 1
 
3.0%
판포리마을 1
 
3.0%
청수농촌체험휴양마을 1
 
3.0%
신흥리마을 1
 
3.0%
Other values (16) 16
48.5%
2023-12-12T23:21:26.183889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 32
17.5%
을 32
17.5%
리 28
15.3%
수 7
 
3.8%
2 7
 
3.8%
유 4
 
2.2%
암 4
 
2.2%
흥 3
 
1.6%
광 3
 
1.6%
흘 2
 
1.1%
Other values (46) 61
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
95.1%
Decimal Number 9
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 32
18.4%
을 32
18.4%
리 28
16.1%
수 7
 
4.0%
유 4
 
2.3%
암 4
 
2.3%
흥 3
 
1.7%
광 3
 
1.7%
흘 2
 
1.1%
선 2
 
1.1%
Other values (44) 57
32.8%
Decimal Number
ValueCountFrequency (%)
2 7
77.8%
1 2
 
22.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
95.1%
Common 9
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 32
18.4%
을 32
18.4%
리 28
16.1%
수 7
 
4.0%
유 4
 
2.3%
암 4
 
2.3%
흥 3
 
1.7%
광 3
 
1.7%
흘 2
 
1.1%
선 2
 
1.1%
Other values (44) 57
32.8%
Common
ValueCountFrequency (%)
2 7
77.8%
1 2
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
95.1%
ASCII 9
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 32
18.4%
을 32
18.4%
리 28
16.1%
수 7
 
4.0%
유 4
 
2.3%
암 4
 
2.3%
흥 3
 
1.7%
광 3
 
1.7%
흘 2
 
1.1%
선 2
 
1.1%
Other values (44) 57
32.8%
ASCII
ValueCountFrequency (%)
2 7
77.8%
1 2
 
22.2%

시군구명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
제주시
22 
서귀포시
11 

Length

Max length4
Median length3
Mean length3.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 22
66.7%
서귀포시 11
33.3%

Length

2023-12-12T23:21:26.323110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:26.410913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 22
66.7%
서귀포시 11
33.3%

읍면동명
Categorical

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
애월읍
11 
조천읍
5 
성산읍
4 
구좌읍
3 
남원읍
2 
Other values (6)
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique4 ?
Unique (%)12.1%

Sample

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

Common Values

ValueCountFrequency (%)
애월읍 11
33.3%
조천읍 5
15.2%
성산읍 4
 
12.1%
구좌읍 3
 
9.1%
남원읍 2
 
6.1%
안덕면 2
 
6.1%
한경면 2
 
6.1%
대정읍 1
 
3.0%
표선면 1
 
3.0%
하효동 1
 
3.0%

Length

2023-12-12T23:21:26.498310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
애월읍 11
33.3%
조천읍 5
15.2%
성산읍 4
 
12.1%
구좌읍 3
 
9.1%
남원읍 2
 
6.1%
안덕면 2
 
6.1%
한경면 2
 
6.1%
대정읍 1
 
3.0%
표선면 1
 
3.0%
하효동 1
 
3.0%

행정리명
Text

Distinct26
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:21:26.661496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.3636364
Min length2

Characters and Unicode

Total characters111
Distinct characters47
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)63.6%

Sample

1st row태흥2리
2nd row태흥2리
3rd row일과1리
4th row난산리
5th row난산리
ValueCountFrequency (%)
유수암리 4
 
12.1%
교래리 2
 
6.1%
어음2리 2
 
6.1%
태흥2리 2
 
6.1%
난산리 2
 
6.1%
광령1리 1
 
3.0%
납읍리 1
 
3.0%
판포리 1
 
3.0%
청수리 1
 
3.0%
신흥리 1
 
3.0%
Other values (16) 16
48.5%
2023-12-12T23:21:26.960103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 32
28.8%
2 7
 
6.3%
수 5
 
4.5%
유 4
 
3.6%
암 4
 
3.6%
흥 3
 
2.7%
광 3
 
2.7%
음 3
 
2.7%
흘 2
 
1.8%
1 2
 
1.8%
Other values (37) 46
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
91.9%
Decimal Number 9
 
8.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 32
31.4%
수 5
 
4.9%
유 4
 
3.9%
암 4
 
3.9%
흥 3
 
2.9%
광 3
 
2.9%
음 3
 
2.9%
흘 2
 
2.0%
동 2
 
2.0%
신 2
 
2.0%
Other values (35) 42
41.2%
Decimal Number
ValueCountFrequency (%)
2 7
77.8%
1 2
 
22.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
91.9%
Common 9
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 32
31.4%
수 5
 
4.9%
유 4
 
3.9%
암 4
 
3.9%
흥 3
 
2.9%
광 3
 
2.9%
음 3
 
2.9%
흘 2
 
2.0%
동 2
 
2.0%
신 2
 
2.0%
Other values (35) 42
41.2%
Common
ValueCountFrequency (%)
2 7
77.8%
1 2
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
91.9%
ASCII 9
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 32
31.4%
수 5
 
4.9%
유 4
 
3.9%
암 4
 
3.9%
흥 3
 
2.9%
광 3
 
2.9%
음 3
 
2.9%
흘 2
 
2.0%
동 2
 
2.0%
신 2
 
2.0%
Other values (35) 42
41.2%
ASCII
ValueCountFrequency (%)
2 7
77.8%
1 2
 
22.2%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:21:27.181931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.6666667
Min length3

Characters and Unicode

Total characters253
Distinct characters121
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row에어그라운드(AIR GROUND)
2nd row제주파인비치 카라반
3rd row리썸카라반
4th row모구리야영장
5th row어라운드폴리
ValueCountFrequency (%)
카라반 2
 
4.9%
에어그라운드(air 1
 
2.4%
제주플래티늄카라반 1
 
2.4%
홍스랜드 1
 
2.4%
글램핑 1
 
2.4%
폴리파크카라반 1
 
2.4%
별헤는밤 1
 
2.4%
캠핑스토리 1
 
2.4%
유수암캠핑장 1
 
2.4%
녹고뫼캠핑장 1
 
2.4%
Other values (30) 30
73.2%
2023-12-12T23:21:27.579180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 14
 
5.5%
핑 13
 
5.1%
라 11
 
4.3%
반 9
 
3.6%
캠 9
 
3.6%
카 9
 
3.6%
8
 
3.2%
리 6
 
2.4%
야 6
 
2.4%
영 6
 
2.4%
Other values (111) 162
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
91.3%
Uppercase Letter 9
 
3.6%
Space Separator 8
 
3.2%
Lowercase Letter 2
 
0.8%
Other Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 14
 
6.1%
핑 13
 
5.6%
라 11
 
4.8%
반 9
 
3.9%
캠 9
 
3.9%
카 9
 
3.9%
리 6
 
2.6%
야 6
 
2.6%
영 6
 
2.6%
주 4
 
1.7%
Other values (97) 144
62.3%
Uppercase Letter
ValueCountFrequency (%)
R 2
22.2%
D 1
11.1%
N 1
11.1%
U 1
11.1%
O 1
11.1%
G 1
11.1%
I 1
11.1%
A 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
91.3%
Common 11
 
4.3%
Latin 11
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 14
 
6.1%
핑 13
 
5.6%
라 11
 
4.8%
반 9
 
3.9%
캠 9
 
3.9%
카 9
 
3.9%
리 6
 
2.6%
야 6
 
2.6%
영 6
 
2.6%
주 4
 
1.7%
Other values (97) 144
62.3%
Latin
ValueCountFrequency (%)
R 2
18.2%
i 1
9.1%
D 1
9.1%
N 1
9.1%
U 1
9.1%
O 1
9.1%
G 1
9.1%
I 1
9.1%
A 1
9.1%
n 1
9.1%
Common
ValueCountFrequency (%)
8
72.7%
& 1
 
9.1%
) 1
 
9.1%
( 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
91.3%
ASCII 22
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 14
 
6.1%
핑 13
 
5.6%
라 11
 
4.8%
반 9
 
3.9%
캠 9
 
3.9%
카 9
 
3.9%
리 6
 
2.6%
야 6
 
2.6%
영 6
 
2.6%
주 4
 
1.7%
Other values (97) 144
62.3%
ASCII
ValueCountFrequency (%)
8
36.4%
R 2
 
9.1%
& 1
 
4.5%
i 1
 
4.5%
) 1
 
4.5%
D 1
 
4.5%
N 1
 
4.5%
U 1
 
4.5%
O 1
 
4.5%
G 1
 
4.5%
Other values (4) 4
18.2%

문화체육업종명
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
일반야영장업
21 
자동차야영장업
8 
일반아영장업
3 
숙박업
 
1

Length

Max length7
Median length6
Mean length6.1515152
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row자동차야영장업
2nd row자동차야영장업
3rd row일반야영장업
4th row일반야영장업
5th row숙박업

Common Values

ValueCountFrequency (%)
일반야영장업 21
63.6%
자동차야영장업 8
 
24.2%
일반아영장업 3
 
9.1%
숙박업 1
 
3.0%

Length

2023-12-12T23:21:27.740735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:27.845914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반야영장업 21
63.6%
자동차야영장업 8
 
24.2%
일반아영장업 3
 
9.1%
숙박업 1
 
3.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
관광사업
26 
<NA>
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 26
78.8%
<NA> 7
 
21.2%

Length

2023-12-12T23:21:27.964797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:28.059637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 26
78.8%
na 7
 
21.2%

지역구분명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
27 
관리지역
5 
자연녹지지역
 
1

Length

Max length6
Median length4
Mean length4.0606061
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
81.8%
관리지역 5
 
15.2%
자연녹지지역 1
 
3.0%

Length

2023-12-12T23:21:28.156611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:28.260216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
81.8%
관리지역 5
 
15.2%
자연녹지지역 1
 
3.0%

소재지전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing8
Missing (%)24.2%
Memory size396.0 B
2023-12-12T23:21:28.420204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.44
Min length12

Characters and Unicode

Total characters311
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

Unique25 ?
Unique (%)100.0%

Sample

1st row064-764-2918
2nd row0507-1465-6769
3rd row064-760-3408
4th row064-783-6226
5th row064-901-2197
ValueCountFrequency (%)
064-764-2918 1
 
4.0%
0507-1322-8649 1
 
4.0%
0507-1327-2800 1
 
4.0%
064-773-0102 1
 
4.0%
064-782-0110 1
 
4.0%
064-710-7475 1
 
4.0%
070-4400-3300 1
 
4.0%
064-805-9999 1
 
4.0%
064-799-8118 1
 
4.0%
0507-1352-6696 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T23:21:28.814345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
19.3%
- 50
16.1%
6 35
11.3%
7 33
10.6%
4 32
10.3%
2 20
 
6.4%
9 20
 
6.4%
8 19
 
6.1%
1 17
 
5.5%
3 14
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
83.9%
Dash Punctuation 50
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
23.0%
6 35
13.4%
7 33
12.6%
4 32
12.3%
2 20
 
7.7%
9 20
 
7.7%
8 19
 
7.3%
1 17
 
6.5%
3 14
 
5.4%
5 11
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
19.3%
- 50
16.1%
6 35
11.3%
7 33
10.6%
4 32
10.3%
2 20
 
6.4%
9 20
 
6.4%
8 19
 
6.1%
1 17
 
5.5%
3 14
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
19.3%
- 50
16.1%
6 35
11.3%
7 33
10.6%
4 32
10.3%
2 20
 
6.4%
9 20
 
6.4%
8 19
 
6.1%
1 17
 
5.5%
3 14
 
4.5%

소재지도로명주소
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing1
Missing (%)3.0%
Memory size396.0 B
2023-12-12T23:21:29.069384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length25.96875
Min length21

Characters and Unicode

Total characters831
Distinct characters97
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

Unique32 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 남원읍 남태해안로 439, 에어그라운드
2nd row제주특별자치도 서귀포시 남원읍 태위로 976-10
3rd row제주특별자치도 서귀포시 대정읍 일과대수로27번길 12
4th row제주특별자치도 서귀포시 성산읍 서성일로 260
5th row제주특별자치도 서귀포시 성산읍 서성일로 433
ValueCountFrequency (%)
제주특별자치도 32
19.9%
제주시 21
 
13.0%
서귀포시 11
 
6.8%
애월읍 11
 
6.8%
조천읍 5
 
3.1%
성산읍 4
 
2.5%
구좌읍 3
 
1.9%
남조로 2
 
1.2%
한경면 2
 
1.2%
남원읍 2
 
1.2%
Other values (65) 68
42.2%
2023-12-12T23:21:29.579253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
 
15.5%
주 54
 
6.5%
제 53
 
6.4%
자 33
 
4.0%
특 32
 
3.9%
별 32
 
3.9%
치 32
 
3.9%
도 32
 
3.9%
시 32
 
3.9%
읍 26
 
3.1%
Other values (87) 376
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 565
68.0%
Space Separator 129
 
15.5%
Decimal Number 124
 
14.9%
Dash Punctuation 12
 
1.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 54
 
9.6%
제 53
 
9.4%
자 33
 
5.8%
특 32
 
5.7%
별 32
 
5.7%
치 32
 
5.7%
도 32
 
5.7%
시 32
 
5.7%
읍 26
 
4.6%
로 25
 
4.4%
Other values (74) 214
37.9%
Decimal Number
ValueCountFrequency (%)
2 20
16.1%
1 18
14.5%
3 14
11.3%
4 14
11.3%
5 14
11.3%
8 13
10.5%
6 11
8.9%
7 9
7.3%
0 8
 
6.5%
9 3
 
2.4%
Space Separator
ValueCountFrequency (%)
129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 565
68.0%
Common 266
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 54
 
9.6%
제 53
 
9.4%
자 33
 
5.8%
특 32
 
5.7%
별 32
 
5.7%
치 32
 
5.7%
도 32
 
5.7%
시 32
 
5.7%
읍 26
 
4.6%
로 25
 
4.4%
Other values (74) 214
37.9%
Common
ValueCountFrequency (%)
129
48.5%
2 20
 
7.5%
1 18
 
6.8%
3 14
 
5.3%
4 14
 
5.3%
5 14
 
5.3%
8 13
 
4.9%
- 12
 
4.5%
6 11
 
4.1%
7 9
 
3.4%
Other values (3) 12
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 565
68.0%
ASCII 266
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
48.5%
2 20
 
7.5%
1 18
 
6.8%
3 14
 
5.3%
4 14
 
5.3%
5 14
 
5.3%
8 13
 
4.9%
- 12
 
4.5%
6 11
 
4.1%
7 9
 
3.4%
Other values (3) 12
 
4.5%
Hangul
ValueCountFrequency (%)
주 54
 
9.6%
제 53
 
9.4%
자 33
 
5.8%
특 32
 
5.7%
별 32
 
5.7%
치 32
 
5.7%
도 32
 
5.7%
시 32
 
5.7%
읍 26
 
4.6%
로 25
 
4.4%
Other values (74) 214
37.9%

소재지지번주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T23:21:29.886059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length25.454545
Min length23

Characters and Unicode

Total characters840
Distinct characters82
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

Unique33 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 남원읍 태흥리 1145-1번지
2nd row제주특별자치도 서귀포시 남원읍 태흥리 385
3rd row제주특별자치도 서귀포시 대정읍 일과리 1303-10
4th row제주특별자치도 서귀포시 성산읍 난산리 2960-1
5th row제주특별자치도 서귀포시 성산읍 난산리 2682
ValueCountFrequency (%)
제주특별자치도 33
19.8%
제주시 22
 
13.2%
서귀포시 11
 
6.6%
애월읍 11
 
6.6%
조천읍 5
 
3.0%
성산읍 4
 
2.4%
유수암리 4
 
2.4%
구좌읍 3
 
1.8%
교래리 2
 
1.2%
어음리 2
 
1.2%
Other values (63) 70
41.9%
2023-12-12T23:21:30.344402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
16.4%
제 55
 
6.5%
주 55
 
6.5%
1 34
 
4.0%
특 33
 
3.9%
별 33
 
3.9%
자 33
 
3.9%
치 33
 
3.9%
도 33
 
3.9%
시 33
 
3.9%
Other values (72) 360
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 547
65.1%
Space Separator 138
 
16.4%
Decimal Number 137
 
16.3%
Dash Punctuation 18
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 55
 
10.1%
주 55
 
10.1%
특 33
 
6.0%
별 33
 
6.0%
자 33
 
6.0%
치 33
 
6.0%
도 33
 
6.0%
시 33
 
6.0%
리 33
 
6.0%
읍 28
 
5.1%
Other values (60) 178
32.5%
Decimal Number
ValueCountFrequency (%)
1 34
24.8%
2 24
17.5%
3 13
 
9.5%
9 12
 
8.8%
5 11
 
8.0%
7 10
 
7.3%
0 9
 
6.6%
6 9
 
6.6%
8 9
 
6.6%
4 6
 
4.4%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 547
65.1%
Common 293
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 55
 
10.1%
주 55
 
10.1%
특 33
 
6.0%
별 33
 
6.0%
자 33
 
6.0%
치 33
 
6.0%
도 33
 
6.0%
시 33
 
6.0%
리 33
 
6.0%
읍 28
 
5.1%
Other values (60) 178
32.5%
Common
ValueCountFrequency (%)
138
47.1%
1 34
 
11.6%
2 24
 
8.2%
- 18
 
6.1%
3 13
 
4.4%
9 12
 
4.1%
5 11
 
3.8%
7 10
 
3.4%
0 9
 
3.1%
6 9
 
3.1%
Other values (2) 15
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 547
65.1%
ASCII 293
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
47.1%
1 34
 
11.6%
2 24
 
8.2%
- 18
 
6.1%
3 13
 
4.4%
9 12
 
4.1%
5 11
 
3.8%
7 10
 
3.4%
0 9
 
3.1%
6 9
 
3.1%
Other values (2) 15
 
5.1%
Hangul
ValueCountFrequency (%)
제 55
 
10.1%
주 55
 
10.1%
특 33
 
6.0%
별 33
 
6.0%
자 33
 
6.0%
치 33
 
6.0%
도 33
 
6.0%
시 33
 
6.0%
리 33
 
6.0%
읍 28
 
5.1%
Other values (60) 178
32.5%

위도
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.408194
Minimum33.239368
Maximum33.552383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T23:21:30.848912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.239368
5-th percentile33.26905
Q133.34946
median33.422132
Q333.45143
95-th percentile33.522621
Maximum33.552383
Range0.31301476
Interquartile range (IQR)0.10196962

Descriptive statistics

Standard deviation0.078821651
Coefficient of variation (CV)0.0023593509
Kurtosis-0.18804825
Mean33.408194
Median Absolute Deviation (MAD)0.03171153
Skewness-0.44928244
Sum1102.4704
Variance0.0062128527
MonotonicityNot monotonic
2023-12-12T23:21:30.980803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
33.2820546 1
 
3.0%
33.4538433 1
 
3.0%
33.38670817 1
 
3.0%
33.44333811 1
 
3.0%
33.41755307 1
 
3.0%
33.42213177 1
 
3.0%
33.41314679 1
 
3.0%
33.48344137 1
 
3.0%
33.44159863 1
 
3.0%
33.28744282 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
33.2393683 1
3.0%
33.2495428 1
3.0%
33.2820546 1
3.0%
33.28744282 1
3.0%
33.30670532 1
3.0%
33.32386917 1
3.0%
33.32994006 1
3.0%
33.33841521 1
3.0%
33.34946014 1
3.0%
33.38670817 1
3.0%
ValueCountFrequency (%)
33.55238306 1
3.0%
33.54909682 1
3.0%
33.5049705 1
3.0%
33.49878663 1
3.0%
33.48344137 1
3.0%
33.46483147 1
3.0%
33.4538433 1
3.0%
33.4518928 1
3.0%
33.45142976 1
3.0%
33.44986093 1
3.0%

경도
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.54602
Minimum126.21857
Maximum126.91908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T23:21:31.159753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.21857
5-th percentile126.23376
Q1126.376
median126.44083
Q3126.74656
95-th percentile126.90177
Maximum126.91908
Range0.7005157
Interquartile range (IQR)0.3705586

Descriptive statistics

Standard deviation0.22841674
Coefficient of variation (CV)0.0018050093
Kurtosis-1.4437748
Mean126.54602
Median Absolute Deviation (MAD)0.2106407
Skewness0.17699187
Sum4176.0186
Variance0.052174206
MonotonicityNot monotonic
2023-12-12T23:21:31.331563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
126.7465564 1
 
3.0%
126.657768 1
 
3.0%
126.3759978 1
 
3.0%
126.396639 1
 
3.0%
126.3949064 1
 
3.0%
126.3936946 1
 
3.0%
126.4185293 1
 
3.0%
126.4013992 1
 
3.0%
126.6648469 1
 
3.0%
126.7481404 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
126.2185652 1
3.0%
126.2301921 1
3.0%
126.2361338 1
3.0%
126.2390243 1
3.0%
126.3049037 1
3.0%
126.3338771 1
3.0%
126.3370378 1
3.0%
126.3472689 1
3.0%
126.3759978 1
3.0%
126.37638 1
3.0%
ValueCountFrequency (%)
126.9190809 1
3.0%
126.918383 1
3.0%
126.8907008 1
3.0%
126.8382291 1
3.0%
126.8356757 1
3.0%
126.8220003 1
3.0%
126.7811913 1
3.0%
126.7481404 1
3.0%
126.7465564 1
3.0%
126.7058337 1
3.0%

인허가일자
Date

MISSING 

Distinct29
Distinct (%)100.0%
Missing4
Missing (%)12.1%
Memory size396.0 B
Minimum2014-08-22 00:00:00
Maximum2022-07-11 00:00:00
2023-12-12T23:21:31.499115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:31.655964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
13
32 
2
 
1

Length

Max length2
Median length2
Mean length1.969697
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 32
97.0%
2 1
 
3.0%

Length

2023-12-12T23:21:31.807922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:31.915334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 32
97.0%
2 1
 
3.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업중
32 
휴업
 
1

Length

Max length3
Median length3
Mean length2.969697
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 32
97.0%
휴업 1
 
3.0%

Length

2023-12-12T23:21:32.027003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:32.159143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 32
97.0%
휴업 1
 
3.0%

소재지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
30 
393.93
 
1
2314049.05
 
1
118.68
 
1

Length

Max length10
Median length4
Mean length4.3030303
Min length4

Unique

Unique3 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
90.9%
393.93 1
 
3.0%
2314049.05 1
 
3.0%
118.68 1
 
3.0%

Length

2023-12-12T23:21:32.276975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:32.402886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
90.9%
393.93 1
 
3.0%
2314049.05 1
 
3.0%
118.68 1
 
3.0%

시설면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing26
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean10258.793
Minimum33.43
Maximum68652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T23:21:32.524029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.43
5-th percentile59.101
Q1130.06
median180
Q31343
95-th percentile48492.6
Maximum68652
Range68618.57
Interquartile range (IQR)1212.94

Descriptive statistics

Standard deviation25755.572
Coefficient of variation (CV)2.510585
Kurtosis6.988511
Mean10258.793
Median Absolute Deviation (MAD)146.57
Skewness2.6429217
Sum71811.55
Variance6.6334947 × 108
MonotonicityNot monotonic
2023-12-12T23:21:32.637182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1454.0 1
 
3.0%
33.43 1
 
3.0%
68652.0 1
 
3.0%
141.12 1
 
3.0%
180.0 1
 
3.0%
119.0 1
 
3.0%
1232.0 1
 
3.0%
(Missing) 26
78.8%
ValueCountFrequency (%)
33.43 1
3.0%
119.0 1
3.0%
141.12 1
3.0%
180.0 1
3.0%
1232.0 1
3.0%
1454.0 1
3.0%
68652.0 1
3.0%
ValueCountFrequency (%)
68652.0 1
3.0%
1454.0 1
3.0%
1232.0 1
3.0%
180.0 1
3.0%
141.12 1
3.0%
119.0 1
3.0%
33.43 1
3.0%

글램핑수
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing28
Missing (%)84.8%
Memory size396.0 B
2023-12-12T23:21:32.762328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.4
Min length1

Characters and Unicode

Total characters7
Distinct characters5
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

Unique5 ?
Unique (%)100.0%

Sample

1st row
2nd row9
3rd row20
4th row10
5th row0
ValueCountFrequency (%)
9 1
25.0%
20 1
25.0%
10 1
25.0%
0 1
25.0%
2023-12-12T23:21:33.032799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3
42.9%
1
 
14.3%
9 1
 
14.3%
2 1
 
14.3%
1 1
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
85.7%
Space Separator 1
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
50.0%
9 1
 
16.7%
2 1
 
16.7%
1 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3
42.9%
1
 
14.3%
9 1
 
14.3%
2 1
 
14.3%
1 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
42.9%
1
 
14.3%
9 1
 
14.3%
2 1
 
14.3%
1 1
 
14.3%

카라반수
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
26 
6
 
2
0
 
2
5
 
1
9
 
1

Length

Max length4
Median length4
Mean length3.3939394
Min length1

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row6
2nd row6
3rd row5
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
78.8%
6 2
 
6.1%
0 2
 
6.1%
5 1
 
3.0%
9 1
 
3.0%
10 1
 
3.0%

Length

2023-12-12T23:21:33.158584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:33.274721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
78.8%
6 2
 
6.1%
0 2
 
6.1%
5 1
 
3.0%
9 1
 
3.0%
10 1
 
3.0%

오토캠핑수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
93.9%
0 2
 
6.1%

Length

2023-12-12T23:21:33.391585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:33.506765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

야영데크수
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
 
2
6
 
1
13
 
1
23
 
1

Length

Max length4
Median length4
Mean length3.6060606
Min length1

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row<NA>
2nd row6
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
84.8%
0 2
 
6.1%
6 1
 
3.0%
13 1
 
3.0%
23 1
 
3.0%

Length

2023-12-12T23:21:33.615859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:33.740690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 2
 
6.1%
6 1
 
3.0%
13 1
 
3.0%
23 1
 
3.0%

노지야영수
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
30 
0
 
1
40
 
1
20
 
1

Length

Max length4
Median length4
Mean length3.7878788
Min length1

Unique

Unique3 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
90.9%
0 1
 
3.0%
40 1
 
3.0%
20 1
 
3.0%

Length

2023-12-12T23:21:33.865382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:33.962771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
90.9%
0 1
 
3.0%
40 1
 
3.0%
20 1
 
3.0%

화장실유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)8.3%
Missing21
Missing (%)63.6%
Memory size198.0 B
True
12 
(Missing)
21 
ValueCountFrequency (%)
True 12
36.4%
(Missing) 21
63.6%
2023-12-12T23:21:34.071723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

샤워실유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)9.1%
Missing22
Missing (%)66.7%
Memory size198.0 B
True
11 
(Missing)
22 
ValueCountFrequency (%)
True 11
33.3%
(Missing) 22
66.7%
2023-12-12T23:21:34.152612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개수대유무
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)11.1%
Missing24
Missing (%)72.7%
Memory size198.0 B
True
9 
(Missing)
24 
ValueCountFrequency (%)
True 9
 
27.3%
(Missing) 24
72.7%
2023-12-12T23:21:34.266256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차가능수
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
0
 
1
30
 
1
134
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.6666667
Min length1

Unique

Unique5 ?
Unique (%)15.2%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
84.8%
0 1
 
3.0%
30 1
 
3.0%
134 1
 
3.0%
4 1
 
3.0%
94 1
 
3.0%

Length

2023-12-12T23:21:34.384545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:21:34.511265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
0 1
 
3.0%
30 1
 
3.0%
134 1
 
3.0%
4 1
 
3.0%
94 1
 
3.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2022-09-30 00:00:00
Maximum2022-09-30 00:00:00
2023-12-12T23:21:34.617406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:21:34.721520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

마을명시군구명읍면동명행정리명사업장명문화체육업종명문화사업자구분명지역구분명소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태코드상세영업상태명소재지면적시설면적글램핑수카라반수오토캠핑수야영데크수노지야영수화장실유무샤워실유무개수대유무주차가능수데이터기준일자
0태흥2리마을서귀포시남원읍태흥2리에어그라운드(AIR GROUND)자동차야영장업<NA><NA><NA>제주특별자치도 서귀포시 남원읍 남태해안로 439, 에어그라운드제주특별자치도 서귀포시 남원읍 태흥리 1145-1번지33.282055126.7465562019-10-2113영업중<NA><NA><NA>6<NA><NA><NA>YYY02022-09-30
1태흥2리마을서귀포시남원읍태흥2리제주파인비치 카라반자동차야영장업<NA><NA>064-764-2918제주특별자치도 서귀포시 남원읍 태위로 976-10제주특별자치도 서귀포시 남원읍 태흥리 38533.287443126.748142016-04-2113영업중<NA>1454.0<NA>6<NA>6<NA>YYY<NA>2022-09-30
2일과1리마을서귀포시대정읍일과1리리썸카라반일반야영장업<NA>자연녹지지역0507-1465-6769제주특별자치도 서귀포시 대정읍 일과대수로27번길 12제주특별자치도 서귀포시 대정읍 일과리 1303-1033.239368126.2301922020-08-2213영업중<NA>33.43<NA>5<NA><NA><NA><NA><NA><NA><NA>2022-09-30
3난산리마을서귀포시성산읍난산리모구리야영장일반야영장업관광사업<NA>064-760-3408제주특별자치도 서귀포시 성산읍 서성일로 260제주특별자치도 서귀포시 성산읍 난산리 2960-133.406242126.822<NA>13영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
4난산리마을서귀포시성산읍난산리어라운드폴리숙박업관광사업<NA>064-783-6226제주특별자치도 서귀포시 성산읍 서성일로 433제주특별자치도 서귀포시 성산읍 난산리 268233.41555126.8356762017-06-2113영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
5신양리마을서귀포시성산읍신양리드르쿰다 in 성산 카라반일반야영장업관광사업<NA>064-901-2197제주특별자치도 서귀포시 성산읍 섭지코지로25번길 64제주특별자치도 서귀포시 성산읍 고성리 372-133.444502126.919081<NA>13영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
6오조리마을서귀포시성산읍오조리성산하수처리장잔디밭야영지일반야영장업관광사업<NA>064-750-7985제주특별자치도 서귀포시 성산읍 고성동서로 115제주특별자치도 서귀포시 성산읍 오조리 57-3533.451893126.918383<NA>13영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
7광평리마을서귀포시안덕면광평리스타빌일반야영장업<NA>관리지역064-793-9100제주특별자치도 서귀포시 안덕면 광평로 34-154제주특별자치도 서귀포시 안덕면 광평리 산 31-133.338415126.3954252021-05-2813영업중<NA>68652.0<NA><NA><NA><NA><NA>YYY<NA>2022-09-30
8동광마을서귀포시안덕면동광리동광농촌체험마을일반야영장업<NA><NA>064-794-2298제주특별자치도 서귀포시 안덕면 동광로 107제주특별자치도 서귀포시 안덕면 동광리 97633.306705126.3370382015-06-2513영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
9표선리마을서귀포시표선면표선리제주캠핑카라반일반야영장업<NA><NA>064-787-8202제주특별자치도 서귀포시 표선면 표선동서로 324-18제주특별자치도 서귀포시 표선면 표선리 44133.32994126.8382292015-06-0113영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
마을명시군구명읍면동명행정리명사업장명문화체육업종명문화사업자구분명지역구분명소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태코드상세영업상태명소재지면적시설면적글램핑수카라반수오토캠핑수야영데크수노지야영수화장실유무샤워실유무개수대유무주차가능수데이터기준일자
23유수암리마을제주시애월읍유수암리녹고뫼캠핑장자동차야영장업관광사업<NA>064-799-8118제주특별자치도 제주시 애월읍 유수암평화10길 175-78제주특별자치도 제주시 애월읍 유수암리 9233.413147126.4185292022-06-0913영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
24하귀2리제주시애월읍하귀2리제주플래티늄카라반자동차야영장업관광사업<NA>064-805-9999제주특별자치도 제주시 애월읍 하귀미수포길 5-8제주특별자치도 제주시 애월읍 하귀2리 1806-233.483441126.4013992015-07-2213영업중<NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA>2022-09-30
25교래삼다수마을제주시조천읍교래리베스트힐펜션&글램핑일반야영장업관광사업관리지역070-4400-3300제주특별자치도 제주시 조천읍 남조로 2109-36제주특별자치도 제주시 조천읍 교래리 786-3033.453843126.6577682017-04-0513영업중393.93<NA>100000YYY302022-09-30
26교래삼다수마을제주시조천읍교래리제주교래자연휴양림야영장일반야영장업관광사업<NA>064-710-7475제주특별자치도 제주시 조천읍 남조로 2023 교래자연휴양림제주특별자치도 제주시 조천읍 교래리 산 11933.441599126.6648472015-07-2713영업중2314049.05<NA>000040YYY1342022-09-30
27대흘2리마을제주시조천읍대흘2리귤빛캠핑장일반야영장업관광사업관리지역064-782-0110제주특별자치도 제주시 조천읍 함와로 428제주특별자치도 제주시 조천읍 대흘리 17233.50497126.6743352015-08-0713영업중118.68119.0<NA><NA><NA><NA><NA>YYY<NA>2022-09-30
28선흘2리마을제주시조천읍선흘2리골체오름캠핑일반야영장업관광사업<NA><NA>제주특별자치도 제주시 조천읍 번영로 1648-41제주특별자치도 제주시 조천읍 선흘리 1858-133.45143126.7053232015-10-1613영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
29신흥리마을제주시조천읍신흥리무거카라반자동차야영장업관광사업<NA><NA>제주특별자치도 제주시 조천읍 조함해안로 352제주특별자치도 제주시 조천읍 신흥리 1533.549097126.6551942015-03-1713영업중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-09-30
30청수농촌체험휴양마을제주시한경면청수리돌하르방캠핑장일반야영장업관광사업<NA>064-773-0102제주특별자치도 제주시 한경면 낙수로 271-40제주특별자치도 제주시 한경면 청수리 213033.323869126.2390242015-05-0413영업중<NA><NA><NA><NA><NA>2320YYY42022-09-30
31판포리마을제주시한경면판포리비체올린캠핑장일반야영장업관광사업<NA>0507-1327-2800제주특별자치도 제주시 한경면 판조로 253-6제주특별자치도 제주시 한경면 판포리 725-133.34946126.2185652015-06-0813영업중<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA>2022-09-30
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