Overview

Dataset statistics

Number of variables17
Number of observations1113
Missing cells3572
Missing cells (%)18.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory153.4 KiB
Average record size in memory141.1 B

Variable types

Text8
Categorical2
Unsupported3
DateTime2
Numeric2

Dataset

Description한국농어촌공사에서 관리하는 농촌체험휴양마을 정보(마을명, 위도, 경도 등)
Author한국농어촌공사
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191017000000001373

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 시도명High correlation
시도명 is highly overall correlated with 위도High correlation
보유시설정보 has 1113 (100.0%) missing valuesMissing
체험마을면적 has 1113 (100.0%) missing valuesMissing
체험마을사진 has 1113 (100.0%) missing valuesMissing
홈페이지주소 has 233 (20.9%) missing valuesMissing
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
보유시설정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
체험마을면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
체험마을사진 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 03:23:25.789262
Analysis finished2023-12-11 03:23:29.484365
Duration3.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

체험마을명
Text

Distinct1101
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-11T12:23:29.756453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length6.0413297
Min length2

Characters and Unicode

Total characters6724
Distinct characters481
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1089 ?
Unique (%)97.8%

Sample

1st row국화리팜랜드
2nd row달빛동화마을
3rd row도래미마을
4th row볼음도저어새생태마을
5th row용두레마을
ValueCountFrequency (%)
농촌체험휴양마을 11
 
0.9%
농어촌체험휴양마을 5
 
0.4%
마을 5
 
0.4%
체험휴양마을 4
 
0.3%
오미마을 2
 
0.2%
용오름마을 2
 
0.2%
행복마을 2
 
0.2%
산양마을 2
 
0.2%
송죽마을 2
 
0.2%
신기마을 2
 
0.2%
Other values (1121) 1129
96.8%
2023-12-11T12:23:30.450218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 1100
 
16.4%
을 1073
 
16.0%
산 129
 
1.9%
리 118
 
1.8%
촌 93
 
1.4%
체 78
 
1.2%
험 77
 
1.1%
양 75
 
1.1%
골 63
 
0.9%
농 60
 
0.9%
Other values (471) 3858
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6582
97.9%
Space Separator 53
 
0.8%
Close Punctuation 36
 
0.5%
Open Punctuation 36
 
0.5%
Decimal Number 15
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 1100
 
16.7%
을 1073
 
16.3%
산 129
 
2.0%
리 118
 
1.8%
촌 93
 
1.4%
체 78
 
1.2%
험 77
 
1.2%
양 75
 
1.1%
골 63
 
1.0%
농 60
 
0.9%
Other values (461) 3716
56.5%
Decimal Number
ValueCountFrequency (%)
2 5
33.3%
1 5
33.3%
3 2
 
13.3%
6 1
 
6.7%
5 1
 
6.7%
8 1
 
6.7%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6581
97.9%
Common 142
 
2.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 1100
 
16.7%
을 1073
 
16.3%
산 129
 
2.0%
리 118
 
1.8%
촌 93
 
1.4%
체 78
 
1.2%
험 77
 
1.2%
양 75
 
1.1%
골 63
 
1.0%
농 60
 
0.9%
Other values (460) 3715
56.5%
Common
ValueCountFrequency (%)
53
37.3%
) 36
25.4%
( 36
25.4%
2 5
 
3.5%
1 5
 
3.5%
· 2
 
1.4%
3 2
 
1.4%
6 1
 
0.7%
5 1
 
0.7%
8 1
 
0.7%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6581
97.9%
ASCII 140
 
2.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 1100
 
16.7%
을 1073
 
16.3%
산 129
 
2.0%
리 118
 
1.8%
촌 93
 
1.4%
체 78
 
1.2%
험 77
 
1.2%
양 75
 
1.1%
골 63
 
1.0%
농 60
 
0.9%
Other values (460) 3715
56.5%
ASCII
ValueCountFrequency (%)
53
37.9%
) 36
25.7%
( 36
25.7%
2 5
 
3.6%
1 5
 
3.6%
3 2
 
1.4%
6 1
 
0.7%
5 1
 
0.7%
8 1
 
0.7%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
休 1
100.0%

시도명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
강원도
196 
전라남도
163 
전라북도
137 
충청남도
133 
경상북도
129 
Other values (9)
355 

Length

Max length7
Median length4
Mean length3.8014376
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 196
17.6%
전라남도 163
14.6%
전라북도 137
12.3%
충청남도 133
11.9%
경상북도 129
11.6%
경상남도 122
11.0%
경기도 115
10.3%
충청북도 74
 
6.6%
제주특별자치도 20
 
1.8%
인천광역시 7
 
0.6%
Other values (4) 17
 
1.5%

Length

2023-12-11T12:23:30.665643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원도 196
17.6%
전라남도 163
14.6%
전라북도 137
12.3%
충청남도 133
11.9%
경상북도 129
11.6%
경상남도 122
11.0%
경기도 115
10.3%
충청북도 74
 
6.6%
제주특별자치도 20
 
1.8%
인천광역시 7
 
0.6%
Other values (4) 17
 
1.5%

시군구명
Text

Distinct145
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-11T12:23:31.084124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0179695
Min length2

Characters and Unicode

Total characters3359
Distinct characters116
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.8%

Sample

1st row강화군
2nd row강화군
3rd row강화군
4th row강화군
5th row강화군
ValueCountFrequency (%)
양평군 30
 
2.7%
인제군 21
 
1.9%
춘천시 19
 
1.7%
평창군 19
 
1.7%
산청군 18
 
1.6%
무주군 16
 
1.4%
거창군 15
 
1.3%
공주시 15
 
1.3%
청양군 15
 
1.3%
양양군 14
 
1.3%
Other values (135) 931
83.6%
2023-12-11T12:23:31.618510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 697
20.8%
시 412
 
12.3%
주 151
 
4.5%
양 141
 
4.2%
천 122
 
3.6%
성 97
 
2.9%
산 82
 
2.4%
평 77
 
2.3%
안 70
 
2.1%
영 68
 
2.0%
Other values (106) 1442
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3359
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 697
20.8%
시 412
 
12.3%
주 151
 
4.5%
양 141
 
4.2%
천 122
 
3.6%
성 97
 
2.9%
산 82
 
2.4%
평 77
 
2.3%
안 70
 
2.1%
영 68
 
2.0%
Other values (106) 1442
42.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3359
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 697
20.8%
시 412
 
12.3%
주 151
 
4.5%
양 141
 
4.2%
천 122
 
3.6%
성 97
 
2.9%
산 82
 
2.4%
평 77
 
2.3%
안 70
 
2.1%
영 68
 
2.0%
Other values (106) 1442
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3359
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 697
20.8%
시 412
 
12.3%
주 151
 
4.5%
양 141
 
4.2%
천 122
 
3.6%
성 97
 
2.9%
산 82
 
2.4%
평 77
 
2.3%
안 70
 
2.1%
영 68
 
2.0%
Other values (106) 1442
42.9%

체험프로그램구분
Categorical

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
농작물경작체험
495 
만들기체험
351 
자연생태체험
97 
전통문화체험
88 
기타
 
21
Other values (5)
61 

Length

Max length7
Median length6
Mean length5.9595687
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row만들기체험
2nd row농작물경작체험
3rd row농작물경작체험
4th row자연생태체험
5th row농작물경작체험

Common Values

ValueCountFrequency (%)
농작물경작체험 495
44.5%
만들기체험 351
31.5%
자연생태체험 97
 
8.7%
전통문화체험 88
 
7.9%
기타 21
 
1.9%
어촌생활체험 18
 
1.6%
건강 15
 
1.3%
레포츠 15
 
1.3%
전통음식체험 10
 
0.9%
산촌생활체험 3
 
0.3%

Length

2023-12-11T12:23:31.817547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:31.938214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농작물경작체험 495
44.5%
만들기체험 351
31.5%
자연생태체험 97
 
8.7%
전통문화체험 88
 
7.9%
기타 21
 
1.9%
어촌생활체험 18
 
1.6%
건강 15
 
1.3%
레포츠 15
 
1.3%
전통음식체험 10
 
0.9%
산촌생활체험 3
 
0.3%

체험내용
Text

Distinct706
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-11T12:23:32.180081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length7.0404313
Min length2

Characters and Unicode

Total characters7836
Distinct characters520
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique621 ?
Unique (%)55.8%

Sample

1st row강화도 쑥개떡체험
2nd row감자캐기
3rd row감따기체험
4th row갯벌체험
5th row감자캐기
ValueCountFrequency (%)
체험 124
 
7.4%
감자캐기 71
 
4.2%
수확 65
 
3.9%
농산물 62
 
3.7%
농촌체험 40
 
2.4%
만들기 39
 
2.3%
농사체험 27
 
1.6%
농산물수확체험 24
 
1.4%
감자 23
 
1.4%
고구마캐기 19
 
1.1%
Other values (841) 1179
70.5%
2023-12-11T12:23:32.587557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 589
 
7.5%
험 588
 
7.5%
기 569
 
7.3%
561
 
7.2%
감 240
 
3.1%
만 216
 
2.8%
들 213
 
2.7%
자 211
 
2.7%
수 193
 
2.5%
농 183
 
2.3%
Other values (510) 4273
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7005
89.4%
Space Separator 561
 
7.2%
Other Punctuation 170
 
2.2%
Close Punctuation 24
 
0.3%
Open Punctuation 24
 
0.3%
Decimal Number 21
 
0.3%
Uppercase Letter 21
 
0.3%
Math Symbol 4
 
0.1%
Lowercase Letter 3
 
< 0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 589
 
8.4%
험 588
 
8.4%
기 569
 
8.1%
감 240
 
3.4%
만 216
 
3.1%
들 213
 
3.0%
자 211
 
3.0%
수 193
 
2.8%
농 183
 
2.6%
확 149
 
2.1%
Other values (483) 3854
55.0%
Uppercase Letter
ValueCountFrequency (%)
E 7
33.3%
M 7
33.3%
T 2
 
9.5%
P 1
 
4.8%
D 1
 
4.8%
L 1
 
4.8%
A 1
 
4.8%
V 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
3 8
38.1%
4 7
33.3%
1 2
 
9.5%
2 2
 
9.5%
6 1
 
4.8%
8 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 148
87.1%
. 11
 
6.5%
/ 9
 
5.3%
& 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
t 1
33.3%
v 1
33.3%
Space Separator
ValueCountFrequency (%)
561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7004
89.4%
Common 807
 
10.3%
Latin 24
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 589
 
8.4%
험 588
 
8.4%
기 569
 
8.1%
감 240
 
3.4%
만 216
 
3.1%
들 213
 
3.0%
자 211
 
3.0%
수 193
 
2.8%
농 183
 
2.6%
확 149
 
2.1%
Other values (482) 3853
55.0%
Common
ValueCountFrequency (%)
561
69.5%
, 148
 
18.3%
) 24
 
3.0%
( 24
 
3.0%
. 11
 
1.4%
/ 9
 
1.1%
3 8
 
1.0%
4 7
 
0.9%
+ 4
 
0.5%
` 2
 
0.2%
Other values (6) 9
 
1.1%
Latin
ValueCountFrequency (%)
E 7
29.2%
M 7
29.2%
T 2
 
8.3%
P 1
 
4.2%
D 1
 
4.2%
L 1
 
4.2%
a 1
 
4.2%
t 1
 
4.2%
v 1
 
4.2%
A 1
 
4.2%
Han
ValueCountFrequency (%)
詩 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7004
89.4%
ASCII 831
 
10.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 589
 
8.4%
험 588
 
8.4%
기 569
 
8.1%
감 240
 
3.4%
만 216
 
3.1%
들 213
 
3.0%
자 211
 
3.0%
수 193
 
2.8%
농 183
 
2.6%
확 149
 
2.1%
Other values (482) 3853
55.0%
ASCII
ValueCountFrequency (%)
561
67.5%
, 148
 
17.8%
) 24
 
2.9%
( 24
 
2.9%
. 11
 
1.3%
/ 9
 
1.1%
3 8
 
1.0%
E 7
 
0.8%
4 7
 
0.8%
M 7
 
0.8%
Other values (17) 25
 
3.0%
CJK
ValueCountFrequency (%)
詩 1
100.0%

보유시설정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1113
Missing (%)100.0%
Memory size9.9 KiB

체험마을면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1113
Missing (%)100.0%
Memory size9.9 KiB

체험마을사진
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1113
Missing (%)100.0%
Memory size9.9 KiB

소재지도로명주소
Text

UNIQUE 

Distinct1113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-11T12:23:33.039974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length21.084456
Min length15

Characters and Unicode

Total characters23467
Distinct characters381
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

Unique1113 ?
Unique (%)100.0%

Sample

1st row인천광역시 강화군 강화읍 국화길 168
2nd row인천광역시 강화군 양도면 강화남로921번길 10-6
3rd row인천광역시 강화군 선원면 해안동로 1129-19
4th row인천광역시 강화군 서도면 볼음도길 224
5th row인천광역시 강화군 내가면 황청포구로385번길 8
ValueCountFrequency (%)
강원도 196
 
3.5%
전라남도 163
 
2.9%
전라북도 137
 
2.5%
충청남도 133
 
2.4%
경상북도 129
 
2.3%
경상남도 122
 
2.2%
경기도 115
 
2.1%
충청북도 74
 
1.3%
양평군 30
 
0.5%
인제군 21
 
0.4%
Other values (2574) 4437
79.8%
2023-12-11T12:23:33.585535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4444
 
18.9%
도 1160
 
4.9%
면 966
 
4.1%
1 756
 
3.2%
군 716
 
3.1%
길 696
 
3.0%
남 534
 
2.3%
로 530
 
2.3%
2 510
 
2.2%
시 449
 
1.9%
Other values (371) 12706
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14973
63.8%
Space Separator 4444
 
18.9%
Decimal Number 3702
 
15.8%
Dash Punctuation 348
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1160
 
7.7%
면 966
 
6.5%
군 716
 
4.8%
길 696
 
4.6%
남 534
 
3.6%
로 530
 
3.5%
시 449
 
3.0%
북 425
 
2.8%
경 389
 
2.6%
전 329
 
2.2%
Other values (359) 8779
58.6%
Decimal Number
ValueCountFrequency (%)
1 756
20.4%
2 510
13.8%
3 420
11.3%
4 359
9.7%
7 333
9.0%
5 311
8.4%
6 296
 
8.0%
8 259
 
7.0%
9 237
 
6.4%
0 221
 
6.0%
Space Separator
ValueCountFrequency (%)
4444
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 348
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14973
63.8%
Common 8494
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1160
 
7.7%
면 966
 
6.5%
군 716
 
4.8%
길 696
 
4.6%
남 534
 
3.6%
로 530
 
3.5%
시 449
 
3.0%
북 425
 
2.8%
경 389
 
2.6%
전 329
 
2.2%
Other values (359) 8779
58.6%
Common
ValueCountFrequency (%)
4444
52.3%
1 756
 
8.9%
2 510
 
6.0%
3 420
 
4.9%
4 359
 
4.2%
- 348
 
4.1%
7 333
 
3.9%
5 311
 
3.7%
6 296
 
3.5%
8 259
 
3.0%
Other values (2) 458
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14973
63.8%
ASCII 8494
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4444
52.3%
1 756
 
8.9%
2 510
 
6.0%
3 420
 
4.9%
4 359
 
4.2%
- 348
 
4.1%
7 333
 
3.9%
5 311
 
3.7%
6 296
 
3.5%
8 259
 
3.0%
Other values (2) 458
 
5.4%
Hangul
ValueCountFrequency (%)
도 1160
 
7.7%
면 966
 
6.5%
군 716
 
4.8%
길 696
 
4.6%
남 534
 
3.6%
로 530
 
3.5%
시 449
 
3.0%
북 425
 
2.8%
경 389
 
2.6%
전 329
 
2.2%
Other values (359) 8779
58.6%

대표자성명
Text

Distinct1095
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-11T12:23:34.035892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9955076
Min length2

Characters and Unicode

Total characters3334
Distinct characters203
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1079 ?
Unique (%)96.9%

Sample

1st row김낙원
2nd row윤종완
3rd row구정회
4th row채기철
5th row배광혁
ValueCountFrequency (%)
이상범 3
 
0.3%
김진호 3
 
0.3%
김창수 2
 
0.2%
김종환 2
 
0.2%
민경범 2
 
0.2%
이순옥 2
 
0.2%
이영희 2
 
0.2%
이규용 2
 
0.2%
김정수 2
 
0.2%
정해수 2
 
0.2%
Other values (1085) 1091
98.0%
2023-12-11T12:23:34.691455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 236
 
7.1%
이 158
 
4.7%
정 95
 
2.8%
박 92
 
2.8%
영 86
 
2.6%
성 78
 
2.3%
종 63
 
1.9%
수 62
 
1.9%
호 59
 
1.8%
석 59
 
1.8%
Other values (193) 2346
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3334
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 236
 
7.1%
이 158
 
4.7%
정 95
 
2.8%
박 92
 
2.8%
영 86
 
2.6%
성 78
 
2.3%
종 63
 
1.9%
수 62
 
1.9%
호 59
 
1.8%
석 59
 
1.8%
Other values (193) 2346
70.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3334
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 236
 
7.1%
이 158
 
4.7%
정 95
 
2.8%
박 92
 
2.8%
영 86
 
2.6%
성 78
 
2.3%
종 63
 
1.9%
수 62
 
1.9%
호 59
 
1.8%
석 59
 
1.8%
Other values (193) 2346
70.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3334
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 236
 
7.1%
이 158
 
4.7%
정 95
 
2.8%
박 92
 
2.8%
영 86
 
2.6%
성 78
 
2.3%
종 63
 
1.9%
수 62
 
1.9%
호 59
 
1.8%
석 59
 
1.8%
Other values (193) 2346
70.4%

대표전화번호
Text

Distinct805
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-11T12:23:35.048606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.039533
Min length12

Characters and Unicode

Total characters13400
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

Unique802 ?
Unique (%)72.1%

Sample

1st row000-000-0000
2nd row032-937-9960
3rd row032-934-4994
4th row000-000-0000
5th row032-933-5711
ValueCountFrequency (%)
000-000-0000 307
 
27.6%
041-852-1255 2
 
0.2%
063-324-3649 2
 
0.2%
064-733-4189 1
 
0.1%
070-7768-1545 1
 
0.1%
061-374-7717 1
 
0.1%
061-371-0201 1
 
0.1%
061-830-6239 1
 
0.1%
061-783-7779 1
 
0.1%
070-6633-8723 1
 
0.1%
Other values (795) 795
71.4%
2023-12-11T12:23:35.631402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4400
32.8%
- 2226
16.6%
3 1278
 
9.5%
5 953
 
7.1%
4 840
 
6.3%
6 782
 
5.8%
1 761
 
5.7%
7 612
 
4.6%
2 602
 
4.5%
8 564
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11174
83.4%
Dash Punctuation 2226
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4400
39.4%
3 1278
 
11.4%
5 953
 
8.5%
4 840
 
7.5%
6 782
 
7.0%
1 761
 
6.8%
7 612
 
5.5%
2 602
 
5.4%
8 564
 
5.0%
9 382
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 2226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13400
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4400
32.8%
- 2226
16.6%
3 1278
 
9.5%
5 953
 
7.1%
4 840
 
6.3%
6 782
 
5.8%
1 761
 
5.7%
7 612
 
4.6%
2 602
 
4.5%
8 564
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4400
32.8%
- 2226
16.6%
3 1278
 
9.5%
5 953
 
7.1%
4 840
 
6.3%
6 782
 
5.8%
1 761
 
5.7%
7 612
 
4.6%
2 602
 
4.5%
8 564
 
4.2%

지정일자
Date

Distinct153
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
Minimum2004-03-01 00:00:00
Maximum2019-11-01 00:00:00
2023-12-11T12:23:35.815433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:23:35.998644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

홈페이지주소
Text

MISSING 

Distinct880
Distinct (%)100.0%
Missing233
Missing (%)20.9%
Memory size8.8 KiB
2023-12-11T12:23:36.335286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length23.275
Min length12

Characters and Unicode

Total characters20482
Distinct characters250
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

Unique880 ?
Unique (%)100.0%

Sample

1st rowhttp://moon.go2vil.org
2nd rowhttp://www.doraemi.kr
3rd rowhttp://yongdure.co.kr
4th rowhttp://www.bulun.kr
5th rowhttp://hwamunseok.go2vil.org
ValueCountFrequency (%)
http://www.farm.go.kr 2
 
0.2%
http://www.hanultari.kr 1
 
0.1%
http://www.yesangt.com/01_village/green3_03.html 1
 
0.1%
http://www.시목마을.kr 1
 
0.1%
http://www.섬너울오마 1
 
0.1%
http://cafe.daum.net/jndysingye 1
 
0.1%
http://www.yongohreum.com 1
 
0.1%
http://www.운수대통마을.kr 1
 
0.1%
http://mulgusimni.modoo.at 1
 
0.1%
http://황금마을.kr 1
 
0.1%
Other values (869) 869
98.8%
2023-12-11T12:23:36.902548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1983
 
9.7%
/ 1961
 
9.6%
. 1778
 
8.7%
o 1371
 
6.7%
w 1340
 
6.5%
h 1077
 
5.3%
p 968
 
4.7%
: 882
 
4.3%
a 788
 
3.8%
r 764
 
3.7%
Other values (240) 7570
37.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14960
73.0%
Other Punctuation 4623
 
22.6%
Other Letter 593
 
2.9%
Decimal Number 296
 
1.4%
Connector Punctuation 5
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 71
 
12.0%
을 66
 
11.1%
산 15
 
2.5%
이 11
 
1.9%
리 10
 
1.7%
꽃 10
 
1.7%
동 8
 
1.3%
골 8
 
1.3%
황 8
 
1.3%
천 7
 
1.2%
Other values (193) 379
63.9%
Lowercase Letter
ValueCountFrequency (%)
t 1983
13.3%
o 1371
 
9.2%
w 1340
 
9.0%
h 1077
 
7.2%
p 968
 
6.5%
a 788
 
5.3%
r 764
 
5.1%
n 748
 
5.0%
g 732
 
4.9%
m 646
 
4.3%
Other values (16) 4543
30.4%
Decimal Number
ValueCountFrequency (%)
2 92
31.1%
0 45
15.2%
1 38
12.8%
3 29
 
9.8%
5 19
 
6.4%
6 18
 
6.1%
9 16
 
5.4%
8 13
 
4.4%
7 13
 
4.4%
4 13
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 1961
42.4%
. 1778
38.5%
: 882
19.1%
? 1
 
< 0.1%
, 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
D 1
25.0%
M 1
25.0%
Y 1
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14964
73.1%
Common 4925
 
24.0%
Hangul 593
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 71
 
12.0%
을 66
 
11.1%
산 15
 
2.5%
이 11
 
1.9%
리 10
 
1.7%
꽃 10
 
1.7%
동 8
 
1.3%
골 8
 
1.3%
황 8
 
1.3%
천 7
 
1.2%
Other values (193) 379
63.9%
Latin
ValueCountFrequency (%)
t 1983
13.3%
o 1371
 
9.2%
w 1340
 
9.0%
h 1077
 
7.2%
p 968
 
6.5%
a 788
 
5.3%
r 764
 
5.1%
n 748
 
5.0%
g 732
 
4.9%
m 646
 
4.3%
Other values (20) 4547
30.4%
Common
ValueCountFrequency (%)
/ 1961
39.8%
. 1778
36.1%
: 882
17.9%
2 92
 
1.9%
0 45
 
0.9%
1 38
 
0.8%
3 29
 
0.6%
5 19
 
0.4%
6 18
 
0.4%
9 16
 
0.3%
Other values (7) 47
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19889
97.1%
Hangul 593
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1983
 
10.0%
/ 1961
 
9.9%
. 1778
 
8.9%
o 1371
 
6.9%
w 1340
 
6.7%
h 1077
 
5.4%
p 968
 
4.9%
: 882
 
4.4%
a 788
 
4.0%
r 764
 
3.8%
Other values (37) 6977
35.1%
Hangul
ValueCountFrequency (%)
마 71
 
12.0%
을 66
 
11.1%
산 15
 
2.5%
이 11
 
1.9%
리 10
 
1.7%
꽃 10
 
1.7%
동 8
 
1.3%
골 8
 
1.3%
황 8
 
1.3%
천 7
 
1.2%
Other values (193) 379
63.9%

관리기관명
Text

Distinct146
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-11T12:23:37.269889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.0610961
Min length4

Characters and Unicode

Total characters4520
Distinct characters118
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

Unique11 ?
Unique (%)1.0%

Sample

1st row강화군청
2nd row강화군청
3rd row강화군청
4th row강화군청
5th row강화군청
ValueCountFrequency (%)
양평군청 30
 
2.7%
인제군청 21
 
1.9%
평창군청 19
 
1.7%
춘천시청 19
 
1.7%
산청군청 18
 
1.6%
무주군청 16
 
1.4%
거창군청 15
 
1.3%
공주시청 15
 
1.3%
청양군청 15
 
1.3%
남원시청 14
 
1.2%
Other values (138) 939
83.8%
2023-12-11T12:23:37.790051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 1162
25.7%
군 697
15.4%
시 420
 
9.3%
주 152
 
3.4%
양 141
 
3.1%
천 122
 
2.7%
성 97
 
2.1%
산 83
 
1.8%
평 77
 
1.7%
안 70
 
1.5%
Other values (108) 1499
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4512
99.8%
Space Separator 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 1162
25.8%
군 697
15.4%
시 420
 
9.3%
주 152
 
3.4%
양 141
 
3.1%
천 122
 
2.7%
성 97
 
2.1%
산 83
 
1.8%
평 77
 
1.7%
안 70
 
1.6%
Other values (107) 1491
33.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4512
99.8%
Common 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 1162
25.8%
군 697
15.4%
시 420
 
9.3%
주 152
 
3.4%
양 141
 
3.1%
천 122
 
2.7%
성 97
 
2.1%
산 83
 
1.8%
평 77
 
1.7%
안 70
 
1.6%
Other values (107) 1491
33.0%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4512
99.8%
ASCII 8
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 1162
25.8%
군 697
15.4%
시 420
 
9.3%
주 152
 
3.4%
양 141
 
3.1%
천 122
 
2.7%
성 97
 
2.1%
산 83
 
1.8%
평 77
 
1.7%
안 70
 
1.6%
Other values (107) 1491
33.0%
ASCII
ValueCountFrequency (%)
8
100.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.308256
Minimum33.245986
Maximum38.387991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-11T12:23:38.027237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.245986
5-th percentile34.661533
Q135.453184
median36.35927
Q337.19114
95-th percentile38.028288
Maximum38.387991
Range5.1420049
Interquartile range (IQR)1.7379563

Descriptive statistics

Standard deviation1.1039365
Coefficient of variation (CV)0.03040456
Kurtosis-0.56955942
Mean36.308256
Median Absolute Deviation (MAD)0.88882296
Skewness-0.17270243
Sum40411.089
Variance1.2186759
MonotonicityNot monotonic
2023-12-11T12:23:38.245959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.74215311 1
 
0.1%
35.1661099 1
 
0.1%
34.53672305 1
 
0.1%
34.60398794 1
 
0.1%
34.57423246 1
 
0.1%
34.46757165 1
 
0.1%
34.58104045 1
 
0.1%
35.21436954 1
 
0.1%
35.18308537 1
 
0.1%
35.27638296 1
 
0.1%
Other values (1103) 1103
99.1%
ValueCountFrequency (%)
33.2459864 1
0.1%
33.26916796 1
0.1%
33.27484586 1
0.1%
33.29720467 1
0.1%
33.30670507 1
0.1%
33.31033951 1
0.1%
33.31808934 1
0.1%
33.3211356 1
0.1%
33.32790157 1
0.1%
33.33369104 1
0.1%
ValueCountFrequency (%)
38.38799126 1
0.1%
38.33166427 1
0.1%
38.28970394 1
0.1%
38.28308672 1
0.1%
38.26982745 1
0.1%
38.2648246 1
0.1%
38.25390442 1
0.1%
38.25251116 1
0.1%
38.24822851 1
0.1%
38.24492458 1
0.1%

경도
Real number (ℝ)

UNIQUE 

Distinct1113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.63175
Minimum125.46658
Maximum129.48215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-11T12:23:38.440039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.46658
5-th percentile126.48794
Q1127.01443
median127.5926
Q3128.2065
95-th percentile128.99505
Maximum129.48215
Range4.0155732
Interquartile range (IQR)1.192076

Descriptive statistics

Standard deviation0.76779525
Coefficient of variation (CV)0.0060157075
Kurtosis-0.70404175
Mean127.63175
Median Absolute Deviation (MAD)0.5965266
Skewness0.22547583
Sum142054.13
Variance0.58950954
MonotonicityNot monotonic
2023-12-11T12:23:38.640117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4580814 1
 
0.1%
127.4582035 1
 
0.1%
127.2000005 1
 
0.1%
127.4583208 1
 
0.1%
127.4045172 1
 
0.1%
127.2203675 1
 
0.1%
127.3933853 1
 
0.1%
127.4935671 1
 
0.1%
127.4700986 1
 
0.1%
127.3067038 1
 
0.1%
Other values (1103) 1103
99.1%
ValueCountFrequency (%)
125.4665798 1
0.1%
126.0492853 1
0.1%
126.0656354 1
0.1%
126.0820104 1
0.1%
126.1127261 1
0.1%
126.1370284 1
0.1%
126.166569 1
0.1%
126.1879915 1
0.1%
126.1922267 1
0.1%
126.195604 1
0.1%
ValueCountFrequency (%)
129.482153 1
0.1%
129.4134796 1
0.1%
129.4056015 1
0.1%
129.4042135 1
0.1%
129.3726349 1
0.1%
129.3712817 1
0.1%
129.3523871 1
0.1%
129.3426822 1
0.1%
129.3408759 1
0.1%
129.3359119 1
0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
Minimum2019-12-23 00:00:00
Maximum2019-12-23 00:00:00
2023-12-11T12:23:38.800459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:23:38.933770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T12:23:28.602078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:23:28.037822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:23:28.753388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:23:28.449562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:23:39.035885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명체험프로그램구분위도경도
시도명1.0000.1360.8700.711
체험프로그램구분0.1361.0000.2450.282
위도0.8700.2451.0000.505
경도0.7110.2820.5051.000
2023-12-11T12:23:39.179818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체험프로그램구분시도명
체험프로그램구분1.0000.055
시도명0.0551.000
2023-12-11T12:23:39.303769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시도명체험프로그램구분
위도1.0000.3120.5950.077
경도0.3121.0000.3830.090
시도명0.5950.3831.0000.055
체험프로그램구분0.0770.0900.0551.000

Missing values

2023-12-11T12:23:28.994989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:23:29.323328image/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

체험마을명시도명시군구명체험프로그램구분체험내용보유시설정보체험마을면적체험마을사진소재지도로명주소대표자성명대표전화번호지정일자홈페이지주소관리기관명위도경도데이터기준일자
0국화리팜랜드인천광역시강화군만들기체험강화도 쑥개떡체험<NA><NA><NA>인천광역시 강화군 강화읍 국화길 168김낙원000-000-00002017-02-01<NA>강화군청37.742153126.4580812019-12-23
1달빛동화마을인천광역시강화군농작물경작체험감자캐기<NA><NA><NA>인천광역시 강화군 양도면 강화남로921번길 10-6윤종완032-937-99602011-01-01http://moon.go2vil.org강화군청37.6803126.4165382019-12-23
2도래미마을인천광역시강화군농작물경작체험감따기체험<NA><NA><NA>인천광역시 강화군 선원면 해안동로 1129-19구정회032-934-49942012-02-01http://www.doraemi.kr강화군청37.715204126.5091462019-12-23
3볼음도저어새생태마을인천광역시강화군자연생태체험갯벌체험<NA><NA><NA>인천광역시 강화군 서도면 볼음도길 224채기철000-000-00002017-04-01<NA>강화군청37.670908126.1922272019-12-23
4용두레마을인천광역시강화군농작물경작체험감자캐기<NA><NA><NA>인천광역시 강화군 내가면 황청포구로385번길 8배광혁032-933-57112011-01-01http://yongdure.co.kr강화군청37.7185126.3606772019-12-23
5행복나드리불은마을인천광역시강화군농작물경작체험감자캐기<NA><NA><NA>인천광역시 강화군 불은면 강화동로 416황의영032-937-04822014-05-01http://www.bulun.kr강화군청37.675212126.4879912019-12-23
6화문석마을인천광역시강화군만들기체험고구마 묵 만들기<NA><NA><NA>인천광역시 강화군 송해면 전망대로 452이만호032-934-22902005-01-01http://hwamunseok.go2vil.org강화군청37.799881126.4585142019-12-23
7평촌명품마을광주광역시북구전통문화체험떡메치기, 솟대체험, 도예체험<NA><NA><NA>광주광역시 북구 평촌길 15정태원000-000-00002018-11-01http://bandivill.net광주광역시 북구청35.175611127.0105482019-12-23
8찬샘마을대전광역시동구만들기체험가면만들기<NA><NA><NA>대전광역시 동구 냉천로 703변대섭042-274-33992008-09-01http://www.chansaem.com대전광역시 동구청36.417888127.479752019-12-23
9무수천하마을대전광역시중구농작물경작체험가지수확체험<NA><NA><NA>대전광역시 중구 운남로85번길 5권용제042-285-55572010-08-01http://www.musu.go2vil.org대전광역시 중구청36.277272127.4069662019-12-23
체험마을명시도명시군구명체험프로그램구분체험내용보유시설정보체험마을면적체험마을사진소재지도로명주소대표자성명대표전화번호지정일자홈페이지주소관리기관명위도경도데이터기준일자
1103고성마을제주특별자치도서귀포시농작물경작체험농산물 수확 체험<NA><NA><NA>제주특별자치도 서귀포시 성산읍 서성일로1222번길 36김정술064-784-23782014-08-01http://goseongpension.com서귀포시청33.44484126.9120212019-12-23
1104동광마을제주특별자치도서귀포시기타4`3유적지 올래길 역사문화탐방<NA><NA><NA>제주특별자치도 서귀포시 안덕면 동광로 107안홍범064-794-22982011-01-01http://blog.naver.com/kfcchanjp81서귀포시청33.306705126.3369912019-12-23
1105무릉도원마을제주특별자치도서귀포시농작물경작체험개복숭아효소만들기<NA><NA><NA>제주특별자치도 서귀포시 대정읍 중산간서로 2868이승훈064-792-17322011-11-01http://utopia.invil.org서귀포시청33.274846126.2352672019-12-23
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1107신흥2리마을제주특별자치도서귀포시만들기체험동박생이집만들기<NA><NA><NA>제주특별자치도 서귀포시 남원읍 중산간동로 5807김현섭064-764-87562011-10-01http://www.jejudongbaektown.com서귀포시청33.321136126.7456052019-12-23
1108의귀리마을제주특별자치도서귀포시건강4.3길 걷기<NA><NA><NA>제주특별자치도 서귀포시 남원읍 한신로 207고행곤064-764-01852016-08-01<NA>서귀포시청33.31034126.7133052019-12-23
1109하례1리 농어촌체험휴양마을제주특별자치도서귀포시농작물경작체험마을체험<NA><NA><NA>제주특별자치도 서귀포시 남원읍 하례중앙로 95허은석064-767-01442018-10-01<NA>서귀포시청33.269168126.625352019-12-23
1110하례2리 농촌체험휴양마을제주특별자치도서귀포시농작물경작체험마을체험<NA><NA><NA>제주특별자치도 서귀포시 남원읍 하례돈야로 83현승호064-733-41892018-09-01<NA>서귀포시청33.297205126.608862019-12-23
1111혼인지마을제주특별자치도서귀포시만들기체험감귤체험(감귤주스,감귤쨈만들기)<NA><NA><NA>제주특별자치도 서귀포시 성산읍 온평애향로23번길 6현광열064-784-55522013-04-01http://cafe.daum.net/honij서귀포시청33.408121126.9001732019-12-23
1112화순리마을제주특별자치도서귀포시자연생태체험놀이숲곶자왈<NA><NA><NA>제주특별자치도 서귀포시 안덕면 화순로 121-5강경보064-794-90082013-06-01http://www.hwasunri.com서귀포시청33.245986126.3335312019-12-23