Overview

Dataset statistics

Number of variables20
Number of observations1237
Missing cells5859
Missing cells (%)23.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory198.2 KiB
Average record size in memory164.1 B

Variable types

Text11
Categorical3
Numeric3
Unsupported1
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author한국농어촌공사, 한국어촌어항공단
URLhttps://www.data.go.kr/data/15013113/standard.do

Alerts

제공기관코드 is highly overall correlated with 체험휴양마을면적 and 1 other fieldsHigh correlation
제공기관명 is highly overall correlated with 체험휴양마을면적 and 1 other fieldsHigh correlation
체험휴양마을면적 is highly overall correlated with 제공기관코드 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 시도명High correlation
시도명 is highly overall correlated with 위도High correlation
제공기관코드 is highly imbalanced (52.3%)Imbalance
제공기관명 is highly imbalanced (52.3%)Imbalance
보유시설정보 has 1119 (90.5%) missing valuesMissing
체험휴양마을면적 has 1224 (98.9%) missing valuesMissing
체험휴양마을사진 has 1129 (91.3%) missing valuesMissing
소재지지번주소 has 1237 (100.0%) missing valuesMissing
대표전화번호 has 472 (38.2%) missing valuesMissing
홈페이지주소 has 678 (54.8%) missing valuesMissing
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-15 01:45:41.241417
Analysis finished2024-03-15 01:45:47.944560
Duration6.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

체험마을명
Text

Distinct1228
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-03-15T10:45:49.045025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.9312854
Min length2

Characters and Unicode

Total characters8574
Distinct characters496
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

Unique1219 ?
Unique (%)98.5%

Sample

1st row솔바우마을
2nd row솔방마을
3rd row솔향기마을
4th row솟대마을
5th row송금녹색농촌휴양마을
ValueCountFrequency (%)
농촌체험휴양마을 11
 
0.9%
마을 5
 
0.4%
체험휴양마을 3
 
0.2%
농어촌체험휴양마을 3
 
0.2%
한울타리마을 2
 
0.2%
신기마을 2
 
0.2%
달빛마을 2
 
0.2%
송죽마을 2
 
0.2%
행복마을 2
 
0.2%
꽃뫼마을 2
 
0.2%
Other values (1245) 1251
97.4%
2024-03-15T10:45:50.931044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 1225
 
14.3%
을 1201
 
14.0%
촌 282
 
3.3%
체 272
 
3.2%
험 268
 
3.1%
양 266
 
3.1%
휴 245
 
2.9%
어 155
 
1.8%
산 152
 
1.8%
리 135
 
1.6%
Other values (486) 4373
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8423
98.2%
Space Separator 49
 
0.6%
Close Punctuation 37
 
0.4%
Open Punctuation 37
 
0.4%
Decimal Number 27
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 1225
 
14.5%
을 1201
 
14.3%
촌 282
 
3.3%
체 272
 
3.2%
험 268
 
3.2%
양 266
 
3.2%
휴 245
 
2.9%
어 155
 
1.8%
산 152
 
1.8%
리 135
 
1.6%
Other values (473) 4222
50.1%
Decimal Number
ValueCountFrequency (%)
1 10
37.0%
2 8
29.6%
0 2
 
7.4%
3 2
 
7.4%
6 1
 
3.7%
5 1
 
3.7%
8 1
 
3.7%
7 1
 
3.7%
4 1
 
3.7%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8422
98.2%
Common 151
 
1.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 1225
 
14.5%
을 1201
 
14.3%
촌 282
 
3.3%
체 272
 
3.2%
험 268
 
3.2%
양 266
 
3.2%
휴 245
 
2.9%
어 155
 
1.8%
산 152
 
1.8%
리 135
 
1.6%
Other values (472) 4221
50.1%
Common
ValueCountFrequency (%)
49
32.5%
) 37
24.5%
( 37
24.5%
1 10
 
6.6%
2 8
 
5.3%
0 2
 
1.3%
3 2
 
1.3%
6 1
 
0.7%
5 1
 
0.7%
· 1
 
0.7%
Other values (3) 3
 
2.0%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8422
98.2%
ASCII 150
 
1.7%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 1225
 
14.5%
을 1201
 
14.3%
촌 282
 
3.3%
체 272
 
3.2%
험 268
 
3.2%
양 266
 
3.2%
휴 245
 
2.9%
어 155
 
1.8%
산 152
 
1.8%
리 135
 
1.6%
Other values (472) 4221
50.1%
ASCII
ValueCountFrequency (%)
49
32.7%
) 37
24.7%
( 37
24.7%
1 10
 
6.7%
2 8
 
5.3%
0 2
 
1.3%
3 2
 
1.3%
6 1
 
0.7%
5 1
 
0.7%
8 1
 
0.7%
Other values (2) 2
 
1.3%
CJK
ValueCountFrequency (%)
休 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

시도명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
강원특별자치도
218 
전라남도
189 
경상남도
156 
전북특별자치도
145 
충청남도
136 
Other values (12)
393 

Length

Max length7
Median length4
Mean length4.8973323
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row강원특별자치도
2nd row경상남도
3rd row경상북도
4th row충청남도
5th row경상북도

Common Values

ValueCountFrequency (%)
강원특별자치도 218
17.6%
전라남도 189
15.3%
경상남도 156
12.6%
전북특별자치도 145
11.7%
충청남도 136
11.0%
경상북도 126
10.2%
경기도 116
9.4%
충청북도 75
 
6.1%
제주특별자치도 31
 
2.5%
인천광역시 14
 
1.1%
Other values (7) 31
 
2.5%

Length

2024-03-15T10:45:51.403959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원특별자치도 218
17.6%
전라남도 189
15.3%
경상남도 156
12.6%
전북특별자치도 145
11.7%
충청남도 136
11.0%
경상북도 126
10.2%
경기도 116
9.4%
충청북도 75
 
6.1%
제주특별자치도 31
 
2.5%
인천광역시 14
 
1.1%
Other values (7) 31
 
2.5%

시군구명
Text

Distinct152
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-03-15T10:45:52.813438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0024252
Min length2

Characters and Unicode

Total characters3714
Distinct characters113
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

Unique12 ?
Unique (%)1.0%

Sample

1st row춘천시
2nd row밀양시
3rd row영주시
4th row천안시
5th row청도군
ValueCountFrequency (%)
인제군 25
 
2.0%
양평군 23
 
1.9%
춘천시 20
 
1.6%
삼척시 20
 
1.6%
남해군 19
 
1.5%
남원시 16
 
1.3%
진도군 16
 
1.3%
평창군 16
 
1.3%
서귀포시 16
 
1.3%
영월군 16
 
1.3%
Other values (142) 1050
84.9%
2024-03-15T10:45:54.686609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 753
20.3%
시 475
 
12.8%
주 153
 
4.1%
양 137
 
3.7%
천 137
 
3.7%
성 105
 
2.8%
산 90
 
2.4%
안 82
 
2.2%
영 81
 
2.2%
제 71
 
1.9%
Other values (103) 1630
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3714
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 753
20.3%
시 475
 
12.8%
주 153
 
4.1%
양 137
 
3.7%
천 137
 
3.7%
성 105
 
2.8%
산 90
 
2.4%
안 82
 
2.2%
영 81
 
2.2%
제 71
 
1.9%
Other values (103) 1630
43.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3714
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 753
20.3%
시 475
 
12.8%
주 153
 
4.1%
양 137
 
3.7%
천 137
 
3.7%
성 105
 
2.8%
산 90
 
2.4%
안 82
 
2.2%
영 81
 
2.2%
제 71
 
1.9%
Other values (103) 1630
43.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3714
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 753
20.3%
시 475
 
12.8%
주 153
 
4.1%
양 137
 
3.7%
천 137
 
3.7%
성 105
 
2.8%
산 90
 
2.4%
안 82
 
2.2%
영 81
 
2.2%
제 71
 
1.9%
Other values (103) 1630
43.9%

체험프로그램구분
Text

Distinct217
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-03-15T10:45:55.450489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length17.362975
Min length2

Characters and Unicode

Total characters21478
Distinct characters29
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

Unique72 ?
Unique (%)5.8%

Sample

1st row농작물경작체험+만들기체험+기타
2nd row농작물경작체험
3rd row농작물경작체험+기타
4th row기타+자연생태체험+전통문화체험
5th row농작물경작체험+전통문화체험+기타+건강+만들기체험
ValueCountFrequency (%)
기타 96
 
7.8%
농작물경작체험+기타 53
 
4.3%
농작물경작체험+만들기체험+기타 49
 
4.0%
기타+만들기체험 32
 
2.6%
농작물경작체험+만들기체험+전통문화체험 28
 
2.3%
어촌생활체험 28
 
2.3%
농작물경작체험+만들기체험 26
 
2.1%
농작물경작체험+건강+자연생태체험+만들기체험+전통문화체험 23
 
1.9%
농작물경작체험+자연생태체험+만들기체험+전통문화체험 20
 
1.6%
어촌생활체험+기타 20
 
1.6%
Other values (207) 862
69.7%
2024-03-15T10:45:56.696368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 2715
12.6%
체 2711
12.6%
험 2711
12.6%
기 1551
 
7.2%
작 1480
 
6.9%
만 778
 
3.6%
들 778
 
3.6%
타 773
 
3.6%
농 740
 
3.4%
물 740
 
3.4%
Other values (19) 6501
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18763
87.4%
Math Symbol 2715
 
12.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 2711
14.4%
험 2711
14.4%
기 1551
 
8.3%
작 1480
 
7.9%
만 778
 
4.1%
들 778
 
4.1%
타 773
 
4.1%
농 740
 
3.9%
물 740
 
3.9%
경 740
 
3.9%
Other values (18) 5761
30.7%
Math Symbol
ValueCountFrequency (%)
+ 2715
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18763
87.4%
Common 2715
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 2711
14.4%
험 2711
14.4%
기 1551
 
8.3%
작 1480
 
7.9%
만 778
 
4.1%
들 778
 
4.1%
타 773
 
4.1%
농 740
 
3.9%
물 740
 
3.9%
경 740
 
3.9%
Other values (18) 5761
30.7%
Common
ValueCountFrequency (%)
+ 2715
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18763
87.4%
ASCII 2715
 
12.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 2715
100.0%
Hangul
ValueCountFrequency (%)
체 2711
14.4%
험 2711
14.4%
기 1551
 
8.3%
작 1480
 
7.9%
만 778
 
4.1%
들 778
 
4.1%
타 773
 
4.1%
농 740
 
3.9%
물 740
 
3.9%
경 740
 
3.9%
Other values (18) 5761
30.7%

체험프로그램명
Text

Distinct1216
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-03-15T10:45:57.342781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length512
Median length259
Mean length98.127728
Min length2

Characters and Unicode

Total characters121384
Distinct characters1103
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1213 ?
Unique (%)98.1%

Sample

1st row감자심기+나무목걸이만들기+도정체험+떡메치기+마을만들기강의+모내기+표고버섯수확하기+작물심기+옥수수따기+약식만들기+쑥개떡만들기+식초만들기+손수건에꽃물들이기+산마늘수확하기+벼베기체험+메뚜기잡기+마을견학+두부만들기+도정공장견학+고구마캐기+고구마심기
2nd row공동생활홈+삼농살이회관
3rd row사과따기+사과스콘+사과쿠키만들기+커피제험+사과파이만들기+사과잼만들기
4th row나무목걸이만들기+솟대만들기+짚풀공예+손수건천연염색+두부만들기+떡메치기+물고기잡기
5th row가마솥뚜껑닭뽁음탕+두부만들기+마을올레길체험+민속놀이체험+식초족욕체험+와인체험+풀꽃염색+캐릭터우드만들기+전동카트타기+오색감양갱만들기+스텐실체험+모종심기+떡메치기+감물염색체험+감따기체험
ValueCountFrequency (%)
갯벌체험 20
 
1.5%
갯벌체험(바지락 3
 
0.2%
3
 
0.2%
등 3
 
0.2%
갯벌체험(바지락)+낚시체험(선상낚시 2
 
0.2%
소라 2
 
0.2%
갯벌체험(동죽 2
 
0.2%
어업체험(바릇잡이 2
 
0.2%
장담그기체험 2
 
0.2%
감말랭이강정바만들기+대봉감수확+블루베리수확체험+블루베리피자만들기+블루베리쨈만들기+대봉곶감만들기+감물염색하기(손수건)+감말랭이만들기+감말랭이장아찌만들기 1
 
0.1%
Other values (1256) 1256
96.9%
2024-03-15T10:45:58.286354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 15568
 
12.8%
기 8511
 
7.0%
체 5545
 
4.6%
험 5475
 
4.5%
만 4291
 
3.5%
들 4289
 
3.5%
수 1820
 
1.5%
이 1491
 
1.2%
자 1194
 
1.0%
고 1174
 
1.0%
Other values (1093) 72026
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103004
84.9%
Math Symbol 15588
 
12.8%
Open Punctuation 939
 
0.8%
Close Punctuation 929
 
0.8%
Other Punctuation 274
 
0.2%
Uppercase Letter 217
 
0.2%
Dash Punctuation 177
 
0.1%
Lowercase Letter 150
 
0.1%
Space Separator 58
 
< 0.1%
Connector Punctuation 42
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 8511
 
8.3%
체 5545
 
5.4%
험 5475
 
5.3%
만 4291
 
4.2%
들 4289
 
4.2%
수 1820
 
1.8%
이 1491
 
1.4%
자 1194
 
1.2%
고 1174
 
1.1%
마 1088
 
1.1%
Other values (1019) 68126
66.1%
Lowercase Letter
ValueCountFrequency (%)
g 46
30.7%
k 29
19.3%
m 11
 
7.3%
t 8
 
5.3%
r 6
 
4.0%
o 6
 
4.0%
a 6
 
4.0%
d 5
 
3.3%
l 5
 
3.3%
e 5
 
3.3%
Other values (16) 23
15.3%
Uppercase Letter
ValueCountFrequency (%)
E 28
12.9%
D 27
12.4%
A 26
12.0%
M 23
10.6%
B 21
9.7%
L 12
 
5.5%
C 10
 
4.6%
Y 9
 
4.1%
G 9
 
4.1%
I 8
 
3.7%
Other values (15) 44
20.3%
Other Punctuation
ValueCountFrequency (%)
. 100
36.5%
/ 85
31.0%
, 41
15.0%
? 36
 
13.1%
: 4
 
1.5%
* 4
 
1.5%
@ 2
 
0.7%
· 1
 
0.4%
; 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 937
99.8%
[ 1
 
0.1%
{ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 15568
99.9%
~ 20
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 928
99.9%
] 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 42
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈇ 1
100.0%
Decimal Number
ValueCountFrequency (%)
９ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102966
84.8%
Common 18012
 
14.8%
Latin 367
 
0.3%
Han 39
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 8511
 
8.3%
체 5545
 
5.4%
험 5475
 
5.3%
만 4291
 
4.2%
들 4289
 
4.2%
수 1820
 
1.8%
이 1491
 
1.4%
자 1194
 
1.2%
고 1174
 
1.1%
마 1088
 
1.1%
Other values (992) 68088
66.1%
Latin
ValueCountFrequency (%)
g 46
 
12.5%
k 29
 
7.9%
E 28
 
7.6%
D 27
 
7.4%
A 26
 
7.1%
M 23
 
6.3%
B 21
 
5.7%
L 12
 
3.3%
m 11
 
3.0%
C 10
 
2.7%
Other values (41) 134
36.5%
Han
ValueCountFrequency (%)
躍 6
 
15.4%
浴 6
 
15.4%
瘦 2
 
5.1%
氣 1
 
2.6%
叢 1
 
2.6%
遍 1
 
2.6%
育 1
 
2.6%
秀 1
 
2.6%
結 1
 
2.6%
蒐 1
 
2.6%
Other values (18) 18
46.2%
Common
ValueCountFrequency (%)
+ 15568
86.4%
( 937
 
5.2%
) 928
 
5.2%
- 177
 
1.0%
. 100
 
0.6%
/ 85
 
0.5%
58
 
0.3%
_ 42
 
0.2%
, 41
 
0.2%
? 36
 
0.2%
Other values (12) 40
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102964
84.8%
ASCII 18377
 
15.1%
CJK 39
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 15568
84.7%
( 937
 
5.1%
) 928
 
5.0%
- 177
 
1.0%
. 100
 
0.5%
/ 85
 
0.5%
58
 
0.3%
g 46
 
0.3%
_ 42
 
0.2%
, 41
 
0.2%
Other values (61) 395
 
2.1%
Hangul
ValueCountFrequency (%)
기 8511
 
8.3%
체 5545
 
5.4%
험 5475
 
5.3%
만 4291
 
4.2%
들 4289
 
4.2%
수 1820
 
1.8%
이 1491
 
1.4%
자 1194
 
1.2%
고 1174
 
1.1%
마 1088
 
1.1%
Other values (990) 68086
66.1%
CJK
ValueCountFrequency (%)
躍 6
 
15.4%
浴 6
 
15.4%
瘦 2
 
5.1%
氣 1
 
2.6%
叢 1
 
2.6%
遍 1
 
2.6%
育 1
 
2.6%
秀 1
 
2.6%
結 1
 
2.6%
蒐 1
 
2.6%
Other values (18) 18
46.2%
Compat Jamo
ValueCountFrequency (%)
ㅓ 1
100.0%
None
ValueCountFrequency (%)
· 1
33.3%
㈇ 1
33.3%
９ 1
33.3%

보유시설정보
Text

MISSING 

Distinct94
Distinct (%)79.7%
Missing1119
Missing (%)90.5%
Memory size9.8 KiB
2024-03-15T10:45:59.021905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length18.559322
Min length3

Characters and Unicode

Total characters2190
Distinct characters199
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

Unique91 ?
Unique (%)77.1%

Sample

1st row주차장+화장실+체험센터
2nd row주차장+화장실+체험센터
3rd row주차장+화장실
4th row주차장+화장실+탈의실+샤워장+하도해수욕장
5th row주차장+화장실+정자+샤워장+곽지해수욕장
ValueCountFrequency (%)
주차장+화장실+체험센터 12
 
8.8%
주차장+화장실 12
 
8.8%
주차장+화장실+쉼터 3
 
2.2%
펜션 3
 
2.2%
해수욕장 2
 
1.5%
주차장+화장실+체험마을 2
 
1.5%
거차뻘배체험장 1
 
0.7%
주차장+화장실+체험센터+수산어촌체험마을펜션 1
 
0.7%
주차장+화장실+체험센터+남애3리해수욕장 1
 
0.7%
주차장+화장실+쉼터+샤워장+체험마을숙소 1
 
0.7%
Other values (99) 99
72.3%
2024-03-15T10:46:00.339041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 335
15.3%
장 313
 
14.3%
실 135
 
6.2%
주 119
 
5.4%
차 119
 
5.4%
화 118
 
5.4%
체 61
 
2.8%
험 61
 
2.8%
해 60
 
2.7%
수 54
 
2.5%
Other values (189) 815
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1832
83.7%
Math Symbol 335
 
15.3%
Space Separator 19
 
0.9%
Decimal Number 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 313
17.1%
실 135
 
7.4%
주 119
 
6.5%
차 119
 
6.5%
화 118
 
6.4%
체 61
 
3.3%
험 61
 
3.3%
해 60
 
3.3%
수 54
 
2.9%
터 53
 
2.9%
Other values (184) 739
40.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
3 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 335
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1832
83.7%
Common 358
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 313
17.1%
실 135
 
7.4%
주 119
 
6.5%
차 119
 
6.5%
화 118
 
6.4%
체 61
 
3.3%
험 61
 
3.3%
해 60
 
3.3%
수 54
 
2.9%
터 53
 
2.9%
Other values (184) 739
40.3%
Common
ValueCountFrequency (%)
+ 335
93.6%
19
 
5.3%
1 2
 
0.6%
3 1
 
0.3%
, 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1832
83.7%
ASCII 358
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 335
93.6%
19
 
5.3%
1 2
 
0.6%
3 1
 
0.3%
, 1
 
0.3%
Hangul
ValueCountFrequency (%)
장 313
17.1%
실 135
 
7.4%
주 119
 
6.5%
차 119
 
6.5%
화 118
 
6.4%
체 61
 
3.3%
험 61
 
3.3%
해 60
 
3.3%
수 54
 
2.9%
터 53
 
2.9%
Other values (184) 739
40.3%

체험휴양마을면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)100.0%
Missing1224
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean102168.08
Minimum2.24
Maximum425000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-03-15T10:46:00.724196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.24
5-th percentile3.32
Q1351.8
median6600
Q3150000
95-th percentile410000
Maximum425000
Range424997.76
Interquartile range (IQR)149648.2

Descriptive statistics

Standard deviation165880.5
Coefficient of variation (CV)1.623604
Kurtosis0.051200199
Mean102168.08
Median Absolute Deviation (MAD)6595.96
Skewness1.3343581
Sum1328185
Variance2.751634 × 1010
MonotonicityNot monotonic
2024-03-15T10:46:01.078260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2.24 1
 
0.1%
15000.0 1
 
0.1%
320000.0 1
 
0.1%
473.75 1
 
0.1%
351.8 1
 
0.1%
348.92 1
 
0.1%
404.26 1
 
0.1%
150000.0 1
 
0.1%
4.04 1
 
0.1%
400000.0 1
 
0.1%
Other values (3) 3
 
0.2%
(Missing) 1224
98.9%
ValueCountFrequency (%)
2.24 1
0.1%
4.04 1
0.1%
348.92 1
0.1%
351.8 1
0.1%
404.26 1
0.1%
473.75 1
0.1%
6600.0 1
0.1%
10000.0 1
0.1%
15000.0 1
0.1%
150000.0 1
0.1%
ValueCountFrequency (%)
425000.0 1
0.1%
400000.0 1
0.1%
320000.0 1
0.1%
150000.0 1
0.1%
15000.0 1
0.1%
10000.0 1
0.1%
6600.0 1
0.1%
473.75 1
0.1%
404.26 1
0.1%
351.8 1
0.1%

체험휴양마을사진
Text

MISSING 

Distinct107
Distinct (%)99.1%
Missing1129
Missing (%)91.3%
Memory size9.8 KiB
2024-03-15T10:46:01.794784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length118
Mean length115.25926
Min length77

Characters and Unicode

Total characters12448
Distinct characters63
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

Unique106 ?
Unique (%)98.1%

Sample

1st rowhttps://www.seantour.kr/vill/VILL_0000000175/JF_00000000000003308/VILL_0000000175/B43358B5B32842118B43B4AE00639FF8.png
2nd rowhttps://www.seantour.kr/vill/VILL_0000000066/JF_00000000000003201/VILL_0000000066/A9FECFD2E23C4523A88D86C14A4E4B6F.jpg
3rd rowhttps://www.seantour.com/newseantour/upload/LC_IMG/thumbnail/20200728/A79C93BF9B2B4D6DA7B7FB87FEBE55CF.jpg
4th rowhttps://www.seantour.kr/vill/VILL_0000000057/JF_00000000000003260/VILL_0000000057/EA20BE36C1144B3F9D03A71B795AC0BA.jpg
5th rowhttps://www.seantour.kr/vill/VILL_0000000034/JF_00000000000003324/VILL_0000000034/E4E6C54F9CC84AE6A803A496055A1A6A.jpg
ValueCountFrequency (%)
https://www.seantour.com/newseantour/upload/lc_img/thumbnail/20200818/355c224af9b4462890217ab6f6c061a6.jpg 2
 
1.9%
https://www.seantour.kr/vill/vill_0000000113/jf_00000000000003268/vill_0000000113/79678053e638421a8871409cdec5c83c.png 1
 
0.9%
https://www.seantour.kr/vill/vill_0000000118/jf_00000000000003180/vill_0000000118/7d4ff60282454b37a28f27e7bac2a652.jpg 1
 
0.9%
https://www.seantour.com/newseantour/upload/lc_img/thumbnail/20200818/22d82e899f5c40498af7d41df8012136.jpg 1
 
0.9%
https://www.seantour.kr/vill/vill_0000000009/jf_00000000000003269/vill_0000000009/7327f91858684663b762f9a93439f2ba.jpg 1
 
0.9%
https://www.seantour.kr/vill/vill_0000000150/jf_00000000000003291/vill_0000000150/6916dfe7a54647a3a5ed7c40925eef7f.jpg 1
 
0.9%
https://www.seantour.kr/vill/vill_0000000081/jf_00000000000003264/vill_0000000081/d80d314e06cd45f0a330229f10006d21.jpg 1
 
0.9%
https://www.seantour.kr/vill/vill_0000000060/jf_00000000000003186/vill_0000000060/71ca76266ed3472f9293de8b056f2d91.jpg 1
 
0.9%
https://www.seantour.kr/vill/vill_0000000006/jf_00000000000003183/vill_0000000006/6c881c7ea9154da4b702a6e4b0a88b3d.jpg 1
 
0.9%
https://www.seantour.kr/vill/vill_0000000160/jf_00000000000003292/vill_0000000160/466df06633894b85a8cbf82ea4d9b7d3.jpg 1
 
0.9%
Other values (97) 97
89.8%
2024-03-15T10:46:02.778550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3011
24.2%
/ 763
 
6.1%
L 390
 
3.1%
t 353
 
2.8%
2 352
 
2.8%
3 348
 
2.8%
4 338
 
2.7%
w 336
 
2.7%
1 328
 
2.6%
. 324
 
2.6%
Other values (53) 5905
47.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5736
46.1%
Lowercase Letter 3022
24.3%
Uppercase Letter 2187
 
17.6%
Other Punctuation 1195
 
9.6%
Connector Punctuation 298
 
2.4%
Other Letter 9
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 353
11.7%
w 336
 
11.1%
s 228
 
7.5%
p 227
 
7.5%
r 218
 
7.2%
l 215
 
7.1%
o 158
 
5.2%
n 152
 
5.0%
a 150
 
5.0%
u 140
 
4.6%
Other values (13) 845
28.0%
Uppercase Letter
ValueCountFrequency (%)
L 390
17.8%
F 303
13.9%
A 210
9.6%
B 203
9.3%
I 196
9.0%
V 194
8.9%
D 193
8.8%
C 191
8.7%
E 190
8.7%
J 97
 
4.4%
Other values (6) 20
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 3011
52.5%
2 352
 
6.1%
3 348
 
6.1%
4 338
 
5.9%
1 328
 
5.7%
8 310
 
5.4%
6 289
 
5.0%
9 267
 
4.7%
7 256
 
4.5%
5 237
 
4.1%
Other Letter
ValueCountFrequency (%)
을 1
11.1%
축 1
11.1%
마 1
11.1%
험 1
11.1%
체 1
11.1%
촌 1
11.1%
어 1
11.1%
도 1
11.1%
방 1
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 763
63.8%
. 324
27.1%
: 108
 
9.0%
Connector Punctuation
ValueCountFrequency (%)
_ 298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7230
58.1%
Latin 5209
41.8%
Hangul 9
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 390
 
7.5%
t 353
 
6.8%
w 336
 
6.5%
F 303
 
5.8%
s 228
 
4.4%
p 227
 
4.4%
r 218
 
4.2%
l 215
 
4.1%
A 210
 
4.0%
B 203
 
3.9%
Other values (29) 2526
48.5%
Common
ValueCountFrequency (%)
0 3011
41.6%
/ 763
 
10.6%
2 352
 
4.9%
3 348
 
4.8%
4 338
 
4.7%
1 328
 
4.5%
. 324
 
4.5%
8 310
 
4.3%
_ 298
 
4.1%
6 289
 
4.0%
Other values (5) 869
 
12.0%
Hangul
ValueCountFrequency (%)
을 1
11.1%
축 1
11.1%
마 1
11.1%
험 1
11.1%
체 1
11.1%
촌 1
11.1%
어 1
11.1%
도 1
11.1%
방 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12439
99.9%
Hangul 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3011
24.2%
/ 763
 
6.1%
L 390
 
3.1%
t 353
 
2.8%
2 352
 
2.8%
3 348
 
2.8%
4 338
 
2.7%
w 336
 
2.7%
1 328
 
2.6%
. 324
 
2.6%
Other values (44) 5896
47.4%
Hangul
ValueCountFrequency (%)
을 1
11.1%
축 1
11.1%
마 1
11.1%
험 1
11.1%
체 1
11.1%
촌 1
11.1%
어 1
11.1%
도 1
11.1%
방 1
11.1%

소재지도로명주소
Text

Distinct1226
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-03-15T10:46:04.171167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length22.415521
Min length15

Characters and Unicode

Total characters27728
Distinct characters395
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1215 ?
Unique (%)98.2%

Sample

1st row강원특별자치도 춘천시 사북면 솔바우길 195
2nd row경상남도 밀양시 상동면 도곡1길 149
3rd row경상북도 영주시 봉현면 소백로1623번길 268
4th row충청남도 천안시 동남구 북면 양곡2길 3
5th row경상북도 청도군 화양읍 송금길 17
ValueCountFrequency (%)
강원특별자치도 220
 
3.5%
전라남도 187
 
3.0%
경상남도 154
 
2.5%
전북특별자치도 144
 
2.3%
충청남도 139
 
2.2%
경상북도 126
 
2.0%
경기도 117
 
1.9%
충청북도 74
 
1.2%
제주특별자치도 31
 
0.5%
인제군 24
 
0.4%
Other values (2812) 4983
80.4%
2024-03-15T10:46:06.121215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4962
 
17.9%
도 1309
 
4.7%
면 1049
 
3.8%
1 871
 
3.1%
길 772
 
2.8%
군 762
 
2.7%
남 620
 
2.2%
로 593
 
2.1%
2 565
 
2.0%
시 538
 
1.9%
Other values (385) 15687
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18147
65.4%
Space Separator 4962
 
17.9%
Decimal Number 4172
 
15.0%
Dash Punctuation 399
 
1.4%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1309
 
7.2%
면 1049
 
5.8%
길 772
 
4.3%
군 762
 
4.2%
남 620
 
3.4%
로 593
 
3.3%
시 538
 
3.0%
북 437
 
2.4%
경 425
 
2.3%
치 422
 
2.3%
Other values (370) 11220
61.8%
Decimal Number
ValueCountFrequency (%)
1 871
20.9%
2 565
13.5%
3 464
11.1%
4 412
9.9%
7 364
8.7%
5 346
 
8.3%
6 339
 
8.1%
8 287
 
6.9%
9 263
 
6.3%
0 261
 
6.3%
Space Separator
ValueCountFrequency (%)
4962
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 399
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18147
65.4%
Common 9581
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1309
 
7.2%
면 1049
 
5.8%
길 772
 
4.3%
군 762
 
4.2%
남 620
 
3.4%
로 593
 
3.3%
시 538
 
3.0%
북 437
 
2.4%
경 425
 
2.3%
치 422
 
2.3%
Other values (370) 11220
61.8%
Common
ValueCountFrequency (%)
4962
51.8%
1 871
 
9.1%
2 565
 
5.9%
3 464
 
4.8%
4 412
 
4.3%
- 399
 
4.2%
7 364
 
3.8%
5 346
 
3.6%
6 339
 
3.5%
8 287
 
3.0%
Other values (5) 572
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18147
65.4%
ASCII 9581
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4962
51.8%
1 871
 
9.1%
2 565
 
5.9%
3 464
 
4.8%
4 412
 
4.3%
- 399
 
4.2%
7 364
 
3.8%
5 346
 
3.6%
6 339
 
3.5%
8 287
 
3.0%
Other values (5) 572
 
6.0%
Hangul
ValueCountFrequency (%)
도 1309
 
7.2%
면 1049
 
5.8%
길 772
 
4.3%
군 762
 
4.2%
남 620
 
3.4%
로 593
 
3.3%
시 538
 
3.0%
북 437
 
2.4%
경 425
 
2.3%
치 422
 
2.3%
Other values (370) 11220
61.8%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1237
Missing (%)100.0%
Memory size11.0 KiB

대표자명
Text

Distinct1207
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-03-15T10:46:07.636344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters3711
Distinct characters210
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1178 ?
Unique (%)95.2%

Sample

1st row황천중
2nd row박순태
3rd row홍성완
4th row유수진
5th row전경환
ValueCountFrequency (%)
최현숙 3
 
0.2%
한정하 2
 
0.2%
정순자 2
 
0.2%
이은수 2
 
0.2%
최미선 2
 
0.2%
유재홍 2
 
0.2%
조현자 2
 
0.2%
최현주 2
 
0.2%
이호식 2
 
0.2%
현금선 2
 
0.2%
Other values (1202) 1221
98.3%
2024-03-15T10:46:09.436756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 186
 
5.0%
정 168
 
4.5%
최 145
 
3.9%
영 106
 
2.9%
김 97
 
2.6%
희 78
 
2.1%
조 74
 
2.0%
현 74
 
2.0%
황 71
 
1.9%
한 69
 
1.9%
Other values (200) 2643
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3705
99.8%
Space Separator 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 186
 
5.0%
정 168
 
4.5%
최 145
 
3.9%
영 106
 
2.9%
김 97
 
2.6%
희 78
 
2.1%
조 74
 
2.0%
현 74
 
2.0%
황 71
 
1.9%
한 69
 
1.9%
Other values (198) 2637
71.2%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3705
99.8%
Common 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 186
 
5.0%
정 168
 
4.5%
최 145
 
3.9%
영 106
 
2.9%
김 97
 
2.6%
희 78
 
2.1%
조 74
 
2.0%
현 74
 
2.0%
황 71
 
1.9%
한 69
 
1.9%
Other values (198) 2637
71.2%
Common
ValueCountFrequency (%)
5
83.3%
+ 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3705
99.8%
ASCII 6
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 186
 
5.0%
정 168
 
4.5%
최 145
 
3.9%
영 106
 
2.9%
김 97
 
2.6%
희 78
 
2.1%
조 74
 
2.0%
현 74
 
2.0%
황 71
 
1.9%
한 69
 
1.9%
Other values (198) 2637
71.2%
ASCII
ValueCountFrequency (%)
5
83.3%
+ 1
 
16.7%

대표전화번호
Text

MISSING 

Distinct765
Distinct (%)100.0%
Missing472
Missing (%)38.2%
Memory size9.8 KiB
2024-03-15T10:46:10.311514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.037908
Min length12

Characters and Unicode

Total characters9209
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

Unique765 ?
Unique (%)100.0%

Sample

1st row070-4160-1050
2nd row054-636-1331
3rd row041-553-2580
4th row061-472-2113
5th row061-363-8131
ValueCountFrequency (%)
043-882-7168 1
 
0.1%
041-751-2416 1
 
0.1%
054-674-2882 1
 
0.1%
055-573-3888 1
 
0.1%
063-635-2231 1
 
0.1%
061-472-8116 1
 
0.1%
031-584-8998 1
 
0.1%
061-383-0694 1
 
0.1%
041-355-0220 1
 
0.1%
061-395-2728 1
 
0.1%
Other values (755) 755
98.7%
2024-03-15T10:46:11.452602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1530
16.6%
0 1275
13.8%
3 1186
12.9%
5 887
9.6%
6 776
8.4%
4 760
8.3%
1 724
7.9%
7 567
 
6.2%
2 566
 
6.1%
8 558
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7679
83.4%
Dash Punctuation 1530
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1275
16.6%
3 1186
15.4%
5 887
11.6%
6 776
10.1%
4 760
9.9%
1 724
9.4%
7 567
7.4%
2 566
7.4%
8 558
7.3%
9 380
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1530
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1530
16.6%
0 1275
13.8%
3 1186
12.9%
5 887
9.6%
6 776
8.4%
4 760
8.3%
1 724
7.9%
7 567
 
6.2%
2 566
 
6.1%
8 558
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1530
16.6%
0 1275
13.8%
3 1186
12.9%
5 887
9.6%
6 776
8.4%
4 760
8.3%
1 724
7.9%
7 567
 
6.2%
2 566
 
6.1%
8 558
 
6.1%

지정일자
Date

Distinct339
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum2008-10-30 00:00:00
Maximum2023-10-25 00:00:00
2024-03-15T10:46:11.697587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:46:11.974542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

홈페이지주소
Text

MISSING 

Distinct559
Distinct (%)100.0%
Missing678
Missing (%)54.8%
Memory size9.8 KiB
2024-03-15T10:46:12.867730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length39
Mean length23.939177
Min length10

Characters and Unicode

Total characters13382
Distinct characters285
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)100.0%

Sample

1st rowhttp://solhyanggitown.modoo.at
2nd rowhttp://yanggokri.co.kr
3rd rowhttp://sgmaul.modoo.at
4th rowhttp://songratherapy.co.kr
5th rowhttp://blog.naver.com/solti012
ValueCountFrequency (%)
http://cafe.daum.net/chahang 1
 
0.2%
http://blog.naver.com/kungolvil 1
 
0.2%
http://www.daechuri.com 1
 
0.2%
https://blog.naver.com/galsup2021 1
 
0.2%
http://cafe.naver.com/boldong 1
 
0.2%
http://dosungooksa.co.kr 1
 
0.2%
http://blog.naver.com/dosamaul 1
 
0.2%
http://www.doridol.com 1
 
0.2%
http://www.doraemi.kr 1
 
0.2%
http://blog.naver.com/jintian68 1
 
0.2%
Other values (549) 549
98.2%
2024-03-15T10:46:14.284381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1383
 
10.3%
t 1259
 
9.4%
. 1113
 
8.3%
w 1021
 
7.6%
o 754
 
5.6%
h 653
 
4.9%
p 604
 
4.5%
: 555
 
4.1%
a 472
 
3.5%
r 454
 
3.4%
Other values (275) 5114
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8776
65.6%
Other Punctuation 3051
 
22.8%
Other Letter 1300
 
9.7%
Decimal Number 228
 
1.7%
Dash Punctuation 12
 
0.1%
Uppercase Letter 12
 
0.1%
Connector Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 160
 
12.3%
을 158
 
12.2%
체 118
 
9.1%
험 118
 
9.1%
촌 114
 
8.8%
어 113
 
8.7%
도 23
 
1.8%
산 22
 
1.7%
리 13
 
1.0%
동 11
 
0.8%
Other values (223) 450
34.6%
Lowercase Letter
ValueCountFrequency (%)
t 1259
14.3%
w 1021
11.6%
o 754
 
8.6%
h 653
 
7.4%
p 604
 
6.9%
a 472
 
5.4%
r 454
 
5.2%
m 410
 
4.7%
n 366
 
4.2%
e 354
 
4.0%
Other values (16) 2429
27.7%
Decimal Number
ValueCountFrequency (%)
0 48
21.1%
2 37
16.2%
1 36
15.8%
9 20
8.8%
5 18
 
7.9%
3 17
 
7.5%
4 14
 
6.1%
7 14
 
6.1%
8 13
 
5.7%
6 11
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
Y 2
16.7%
C 2
16.7%
F 1
8.3%
M 1
8.3%
O 1
8.3%
S 1
8.3%
U 1
8.3%
Z 1
8.3%
V 1
8.3%
A 1
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 1383
45.3%
. 1113
36.5%
: 555
18.2%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8788
65.7%
Common 3294
 
24.6%
Hangul 1300
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 160
 
12.3%
을 158
 
12.2%
체 118
 
9.1%
험 118
 
9.1%
촌 114
 
8.8%
어 113
 
8.7%
도 23
 
1.8%
산 22
 
1.7%
리 13
 
1.0%
동 11
 
0.8%
Other values (223) 450
34.6%
Latin
ValueCountFrequency (%)
t 1259
14.3%
w 1021
11.6%
o 754
 
8.6%
h 653
 
7.4%
p 604
 
6.9%
a 472
 
5.4%
r 454
 
5.2%
m 410
 
4.7%
n 366
 
4.2%
e 354
 
4.0%
Other values (26) 2441
27.8%
Common
ValueCountFrequency (%)
/ 1383
42.0%
. 1113
33.8%
: 555
16.8%
0 48
 
1.5%
2 37
 
1.1%
1 36
 
1.1%
9 20
 
0.6%
5 18
 
0.5%
3 17
 
0.5%
4 14
 
0.4%
Other values (6) 53
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12082
90.3%
Hangul 1300
 
9.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1383
 
11.4%
t 1259
 
10.4%
. 1113
 
9.2%
w 1021
 
8.5%
o 754
 
6.2%
h 653
 
5.4%
p 604
 
5.0%
: 555
 
4.6%
a 472
 
3.9%
r 454
 
3.8%
Other values (42) 3814
31.6%
Hangul
ValueCountFrequency (%)
마 160
 
12.3%
을 158
 
12.2%
체 118
 
9.1%
험 118
 
9.1%
촌 114
 
8.8%
어 113
 
8.7%
도 23
 
1.8%
산 22
 
1.7%
리 13
 
1.0%
동 11
 
0.8%
Other values (223) 450
34.6%

관리기관명
Text

Distinct157
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-03-15T10:46:15.423227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.894907
Min length8

Characters and Unicode

Total characters12240
Distinct characters121
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

Unique15 ?
Unique (%)1.2%

Sample

1st row강원특별자치도 춘천시청
2nd row경상남도 밀양시청
3rd row경상북도 영주시청
4th row충청남도 천안시청
5th row경상북도 청도군청
ValueCountFrequency (%)
강원특별자치도 218
 
8.8%
전라남도 189
 
7.6%
경상남도 156
 
6.3%
전북특별자치도 145
 
5.9%
충청남도 136
 
5.5%
경상북도 126
 
5.1%
경기도 116
 
4.7%
충청북도 75
 
3.0%
제주특별자치도 31
 
1.3%
인제군청 25
 
1.0%
Other values (158) 1257
50.8%
2024-03-15T10:46:17.039734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 1493
 
12.2%
1237
 
10.1%
도 1228
 
10.0%
군 753
 
6.2%
남 523
 
4.3%
시 513
 
4.2%
경 411
 
3.4%
특 397
 
3.2%
별 397
 
3.2%
자 397
 
3.2%
Other values (111) 4891
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11003
89.9%
Space Separator 1237
 
10.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 1493
 
13.6%
도 1228
 
11.2%
군 753
 
6.8%
남 523
 
4.8%
시 513
 
4.7%
경 411
 
3.7%
특 397
 
3.6%
별 397
 
3.6%
자 397
 
3.6%
치 397
 
3.6%
Other values (110) 4494
40.8%
Space Separator
ValueCountFrequency (%)
1237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11003
89.9%
Common 1237
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 1493
 
13.6%
도 1228
 
11.2%
군 753
 
6.8%
남 523
 
4.8%
시 513
 
4.7%
경 411
 
3.7%
특 397
 
3.6%
별 397
 
3.6%
자 397
 
3.6%
치 397
 
3.6%
Other values (110) 4494
40.8%
Common
ValueCountFrequency (%)
1237
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11003
89.9%
ASCII 1237
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 1493
 
13.6%
도 1228
 
11.2%
군 753
 
6.8%
남 523
 
4.8%
시 513
 
4.7%
경 411
 
3.7%
특 397
 
3.6%
별 397
 
3.6%
자 397
 
3.6%
치 397
 
3.6%
Other values (110) 4494
40.8%
ASCII
ValueCountFrequency (%)
1237
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1225
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.224267
Minimum33.227564
Maximum38.38799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-03-15T10:46:17.528968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.227564
5-th percentile34.487088
Q135.355564
median36.244466
Q337.174344
95-th percentile38.007148
Maximum38.38799
Range5.1604262
Interquartile range (IQR)1.8187799

Descriptive statistics

Standard deviation1.1475634
Coefficient of variation (CV)0.031679411
Kurtosis-0.62280484
Mean36.224267
Median Absolute Deviation (MAD)0.905603
Skewness-0.18649354
Sum44809.418
Variance1.3169018
MonotonicityNot monotonic
2024-03-15T10:46:17.957988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.07492732 2
 
0.2%
36.84331162 2
 
0.2%
36.42378878 2
 
0.2%
37.074195 2
 
0.2%
37.7208807 2
 
0.2%
35.35301766 2
 
0.2%
36.23534815 2
 
0.2%
35.85584183 2
 
0.2%
36.150646 2
 
0.2%
37.141035 2
 
0.2%
Other values (1215) 1217
98.4%
ValueCountFrequency (%)
33.22756422 1
0.1%
33.22785244 1
0.1%
33.23613898 1
0.1%
33.24598487 1
0.1%
33.26916976 1
0.1%
33.27074384 1
0.1%
33.274848 1
0.1%
33.29720422 1
0.1%
33.306623 1
0.1%
33.31044383 1
0.1%
ValueCountFrequency (%)
38.38799045 1
0.1%
38.33166492 1
0.1%
38.32695344 1
0.1%
38.289703 1
0.1%
38.283176 1
0.1%
38.26851397 1
0.1%
38.264823 1
0.1%
38.25390361 1
0.1%
38.252512 1
0.1%
38.24492485 1
0.1%

경도
Real number (ℝ)

Distinct1224
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.62993
Minimum125.46658
Maximum130.88975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-03-15T10:46:18.332110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.46658
5-th percentile126.39804
Q1126.96973
median127.5926
Q3128.24166
95-th percentile129.06547
Maximum130.88975
Range5.4231687
Interquartile range (IQR)1.2719278

Descriptive statistics

Standard deviation0.82079965
Coefficient of variation (CV)0.0064310905
Kurtosis-0.65813633
Mean127.62993
Median Absolute Deviation (MAD)0.63785
Skewness0.24095618
Sum157878.23
Variance0.67371207
MonotonicityNot monotonic
2024-03-15T10:46:18.798910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7296198 2
 
0.2%
127.0799239 2
 
0.2%
128.7338595 2
 
0.2%
127.4045549 2
 
0.2%
127.3939619 2
 
0.2%
126.576492 2
 
0.2%
127.5600814 2
 
0.2%
126.8811523 2
 
0.2%
129.280329 2
 
0.2%
128.2361904 2
 
0.2%
Other values (1214) 1217
98.4%
ValueCountFrequency (%)
125.4665783 1
0.1%
126.0402707 1
0.1%
126.049287 1
0.1%
126.0521676 1
0.1%
126.0528365 1
0.1%
126.0579165 1
0.1%
126.065635 1
0.1%
126.0820116 1
0.1%
126.1127281 1
0.1%
126.1370298 1
0.1%
ValueCountFrequency (%)
130.889747 1
0.1%
129.5251751 1
0.1%
129.5196434 1
0.1%
129.4821543 1
0.1%
129.475138 1
0.1%
129.469653 1
0.1%
129.4627609 1
0.1%
129.4575868 1
0.1%
129.4560752 1
0.1%
129.4340885 1
0.1%

데이터기준일자
Date

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum2023-11-24 00:00:00
Maximum2024-01-18 00:00:00
2024-03-15T10:46:19.065716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:46:19.381917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

제공기관코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
B552149
1110 
B553968
127 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB552149
2nd rowB552149
3rd rowB552149
4th rowB552149
5th rowB552149

Common Values

ValueCountFrequency (%)
B552149 1110
89.7%
B553968 127
 
10.3%

Length

2024-03-15T10:46:19.813870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:46:20.111979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b552149 1110
89.7%
b553968 127
 
10.3%

제공기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
한국농어촌공사
1110 
한국어촌어항공단
127 

Length

Max length8
Median length7
Mean length7.1026677
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국농어촌공사 1110
89.7%
한국어촌어항공단 127
 
10.3%

Length

2024-03-15T10:46:20.450923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:46:20.774668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국농어촌공사 1110
89.7%
한국어촌어항공단 127
 
10.3%

Interactions

2024-03-15T10:45:45.563113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:45:44.280818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:45:44.980552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:45:45.800293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:45:44.492382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:45:45.159758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:45:46.062524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:45:44.732879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:45:45.317659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:46:20.899922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명보유시설정보체험휴양마을면적위도경도데이터기준일자제공기관코드제공기관명
시도명1.0000.7740.0000.8760.7330.4050.4050.405
보유시설정보0.7741.0001.0000.6890.907NaNNaNNaN
체험휴양마을면적0.0001.0001.0000.0000.495NaNNaNNaN
위도0.8760.6890.0001.0000.3450.4330.4330.433
경도0.7330.9070.4950.3451.0000.3810.3810.381
데이터기준일자0.405NaNNaN0.4330.3811.0001.0001.000
제공기관코드0.405NaNNaN0.4330.3811.0001.0001.000
제공기관명0.405NaNNaN0.4330.3811.0001.0001.000
2024-03-15T10:46:21.157207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명제공기관코드제공기관명
시도명1.0000.3620.362
제공기관코드0.3621.0000.996
제공기관명0.3620.9961.000
2024-03-15T10:46:21.417232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체험휴양마을면적위도경도시도명제공기관코드제공기관명
체험휴양마을면적1.0000.055-0.3850.0001.0001.000
위도0.0551.0000.3020.5920.3320.332
경도-0.3850.3021.0000.3990.3800.380
시도명0.0000.5920.3991.0000.3620.362
제공기관코드1.0000.3320.3800.3621.0000.996
제공기관명1.0000.3320.3800.3620.9961.000

Missing values

2024-03-15T10:45:46.500905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:45:47.280439image/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.
2024-03-15T10:45:47.735352image/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

체험마을명시도명시군구명체험프로그램구분체험프로그램명보유시설정보체험휴양마을면적체험휴양마을사진소재지도로명주소소재지지번주소대표자명대표전화번호지정일자홈페이지주소관리기관명위도경도데이터기준일자제공기관코드제공기관명
0솔바우마을강원특별자치도춘천시농작물경작체험+만들기체험+기타감자심기+나무목걸이만들기+도정체험+떡메치기+마을만들기강의+모내기+표고버섯수확하기+작물심기+옥수수따기+약식만들기+쑥개떡만들기+식초만들기+손수건에꽃물들이기+산마늘수확하기+벼베기체험+메뚜기잡기+마을견학+두부만들기+도정공장견학+고구마캐기+고구마심기<NA><NA><NA>강원특별자치도 춘천시 사북면 솔바우길 195<NA>황천중070-4160-10502017-10-24<NA>강원특별자치도 춘천시청37.995824127.6864632024-01-18B552149한국농어촌공사
1솔방마을경상남도밀양시농작물경작체험공동생활홈+삼농살이회관<NA><NA><NA>경상남도 밀양시 상동면 도곡1길 149<NA>박순태<NA>2021-12-22<NA>경상남도 밀양시청35.568176128.8214872024-01-18B552149한국농어촌공사
2솔향기마을경상북도영주시농작물경작체험+기타사과따기+사과스콘+사과쿠키만들기+커피제험+사과파이만들기+사과잼만들기<NA><NA><NA>경상북도 영주시 봉현면 소백로1623번길 268<NA>홍성완054-636-13312017-10-24http://solhyanggitown.modoo.at경상북도 영주시청36.841342128.4985832024-01-18B552149한국농어촌공사
3솟대마을충청남도천안시기타+자연생태체험+전통문화체험나무목걸이만들기+솟대만들기+짚풀공예+손수건천연염색+두부만들기+떡메치기+물고기잡기<NA><NA><NA>충청남도 천안시 동남구 북면 양곡2길 3<NA>유수진041-553-25802017-10-24http://yanggokri.co.kr충청남도 천안시청36.85138127.2813222024-01-18B552149한국농어촌공사
4송금녹색농촌휴양마을경상북도청도군농작물경작체험+전통문화체험+기타+건강+만들기체험가마솥뚜껑닭뽁음탕+두부만들기+마을올레길체험+민속놀이체험+식초족욕체험+와인체험+풀꽃염색+캐릭터우드만들기+전동카트타기+오색감양갱만들기+스텐실체험+모종심기+떡메치기+감물염색체험+감따기체험<NA><NA><NA>경상북도 청도군 화양읍 송금길 17<NA>전경환<NA>2017-10-24http://sgmaul.modoo.at경상북도 청도군청35.708429128.7221622024-01-18B552149한국농어촌공사
5송내외 농촌체험휴양마을전라남도영암군농작물경작체험+만들기체험+기타감따기+고구마심기+농촌생활체험+떡메치기+우리쌀로빵만들기+천연편백비누만들기+천연편백방향제만들기+먹거리체험+농축산물음식체험+고구마캐기<NA><NA><NA>전라남도 영암군 덕진면 영보로 273<NA>하갑동061-472-21132018-01-23<NA>전라남도 영암군청34.826971126.7290742024-01-18B552149한국농어촌공사
6송라마을경기도화성시기타+건강감자캐기+미니낚시+사촌+수확체험+쑥개떡만들기+썰매타기+팽이치기+쌀겨효소체험+식물+곤충채집+손수건천연염색+밤줍기+모종심기+고구마캐기+두부만들기+떡메치기/떡만들기<NA><NA><NA>경기도 화성시 매송면 매송북길264번길 37<NA>현선주<NA>2017-10-24http://songratherapy.co.kr경기도 화성시청37.282505126.9093092024-01-18B552149한국농어촌공사
7송전권역농촌체험휴양마을전라남도곡성군농작물경작체험+건강+만들기체험+전통문화체험거울만들기+고구마캐기+매실따기+사과따기+솔방울트리+솔향기비누공예+옥수수캐기+추억의고무신+솔향기숙박체험+솔향기디퓨져+솔방울부엉이만들기+머그컵꾸미기+김치체험학습<NA><NA><NA>전라남도 곡성군 입면 입면로 497<NA>양은식061-363-81312018-04-22<NA>전라남도 곡성군청35.305778127.1886592024-01-18B552149한국농어촌공사
8송전마을(송전)경상남도함양군농작물경작체험+만들기체험+자연생태체험+건강+전통문화체험가공+옥수수따기+팽이치기+천연염색+짚플공예+지리산둘레길+전통차체험+연만들기+다듬이+래프팅+밤줍기+산나물채취+다슬기잡기+감따기<NA><NA><NA>경상남도 함양군 휴천면 송전길 198<NA>최승웅<NA>2017-10-24<NA>경상남도 함양군청35.420393127.7272122024-01-18B552149한국농어촌공사
9송죽마을전북특별자치도정읍시만들기체험+자연생태체험+건강+기타모시송편만들기+야생화손수건만들기+생활차체험+모시인절미떡만들기+모시족욕체험<NA><NA><NA>충청남도 부여군 장암면 원문로 53-6<NA>이은미<NA>2017-10-24http://blog.naver.com/solti012전북특별자치도 정읍시청36.235348126.8811522024-01-18B552149한국농어촌공사
체험마을명시도명시군구명체험프로그램구분체험프로그램명보유시설정보체험휴양마을면적체험휴양마을사진소재지도로명주소소재지지번주소대표자명대표전화번호지정일자홈페이지주소관리기관명위도경도데이터기준일자제공기관코드제공기관명
1227효동마을전라남도영암군농작물경작체험+건강+자연생태체험+만들기체험+전통문화체험감자캐기+말타기+목화따기+효체험+천연염색+종일프로그램+전래놀이+역사문화체험+야구+스포츠체험+소규모+발효식품만들기+목공체험+마유크림만들기+고구마수확하기+농산물요리체험+동물먹이주기체험+농촌생활문화종일체험<NA><NA><NA>전라남도 영암군 시종면 남해당로 65<NA>박복용<NA>2017-10-24<NA>전라남도 영암군청34.895394126.585922024-01-18B552149한국농어촌공사
1228효마루마을경상북도영주시기타+자연생태체험+전통문화체험도자기체험(고급)+용암산바위트래킹+자연염색체험+짚공예+한과만들기+효약밥만들기체험+효마루찹쌀떡만들기+캠프파이어+진로체험+도자기체험(초중급)<NA><NA><NA>경상북도 영주시 안정면 용주로 932<NA>황태규054-632-66972017-10-24<NA>경상북도 영주시청36.813536128.5456412024-01-18B552149한국농어촌공사
1229후촌갈대숲마을전북특별자치도부안군농작물경작체험+만들기체험감자캐기체험+반려식물만들기+천연비누만들기+추억의오디따기+삼각김밥체험+매실청만들기+고구마수확체험+매실수확체험<NA><NA><NA>전북특별자치도 부안군 줄포면 후촌길 67<NA>정준기063-583-30992017-10-24<NA>전북특별자치도 부안군청35.594208126.6737762024-01-18B552149한국농어촌공사
1230후촌마을전북특별자치도임실군농작물경작체험+자연생태체험+만들기체험[박람회키트]무지개케익체험키트+클렌징만들기+임실치즈피자만들기+임실치즈블루베리무지개케익만들기+임실스트링치즈만들기+스킨만들기+산촌캠프패키지+블루베리쿠키만들기+불루베리따기+블루베리초코파이만들기+블루베리체험장대여비+블루베리양갱만들기+블루베리아이스크림만들기+블루베리수확하기+단블루베리무지개케익만들기+단블루베리무지개케익(단)만들기<NA><NA><NA>전북특별자치도 임실군 성수면 도인4길 3<NA>하성수063-643-09192018-06-01<NA>전북특별자치도 임실군청35.643208127.3216572024-01-18B552149한국농어촌공사
1231休무풍승지(철목)전북특별자치도무주군농작물경작체험+전통문화체험+만들기체험+자연생태체험+기타달집태우기+두부만들기+매실청만들기+블루베리체험+치즈만들기체험+천연비누만들기+와일드푸드체험+애플시나몬청+알고먹는돼지고기+산야초떡만들기+사선암가는길트래킹+사과펜케익만들기+사과따기+피자만들기+풍등날리기+포도체험+칡캐기체험+복숭아체험+매실발효소만들기+당나귀체험+농사체험(농경체험)+감따기체험+녹차화분분재<NA><NA><NA>전북특별자치도 무주군 무풍면 철목길 61<NA>한형숙063-324-51292017-10-24http://www.hyumupung.co.kr전북특별자치도 무주군청35.960063127.8397732024-01-18B552149한국농어촌공사
1232흙진주포도체험마을충청북도영동군농작물경작체험+기타각종과일즙+감자캐기+꽃산병(떡)체+농촌일손돕기+묵체험+블루베리따기+와인시음+포도주+포도와인만들기+포도따기체험+컨츄리와인견학+초코렛+쨈만들기+전래놀이+자원봉사+와인족욕+화전+포도초코렛만들기+숙박+버섯따기체험+맛체험+농수산물수확체험+곶감깍기+각종장아찌담기<NA><NA><NA>충청북도 영동군 영동읍 주곡1길 5<NA>안성분<NA>2017-10-24http://www.no1podo.kr충청북도 영동군청36.174128127.8237182024-01-18B552149한국농어촌공사
1233흥부마을전북특별자치도남원시농작물경작체험+만들기체험+자연생태체험농산물수확체험+불루베리수확체험+불루베리잼만들기+오미자젤리+흥부길걷기+블루베리화분심기+마쉬멜로만들기<NA><NA><NA>전북특별자치도 남원시 아영면 흥부로 275<NA>정구자063-625-29322017-10-24http://cafe.naver.com/heungbumaeul전북특별자치도 남원시청35.520463127.5879912024-01-18B552149한국농어촌공사
1234흰구름산촌마을강원특별자치도평창군기타+만들기체험+전통문화체험공예체험+메주만들기+송어맨손잡기+힐링워킹+장아찌담그기+오제미던지기+시골밥상+스크린체험홀+스크린체험+세그웨이체험+마을탐사및지도그리기+나만의컵만들기+농가농사체험+마을생태체험+두부만들기<NA><NA><NA>강원특별자치도 평창군 미탄면 창터길 29-10<NA>유인배033-333-00342017-10-24http://wcloud.modoo.at강원특별자치도 평창군청37.331535128.537482024-01-18B552149한국농어촌공사
1235흰돌마을경상북도예천군농작물경작체험+기타+자연생태체험곤충체험+농사체험+산나물췌취+전통놀이+음식체험+사과잼만들기<NA><NA><NA>경상북도 예천군 효자면 제촌길 96<NA>정난주054-652-80052017-10-24<NA>경상북도 예천군청36.805093128.454342024-01-18B552149한국농어촌공사
1236흰여울마을충청북도단양군농작물경작체험+전통문화체험+자연생태체험+건강+만들기체험+기타가죽공예+대가천자전거타기체험+장담그기체험+용천물발담그기+외국인체험프로그램+옥수수수확체험+연극캠프+세상에단하나뿐인나만의도자기+마늘쫑뽑기체험+마늘수확체험+더드림기억농장+한지공예(닥종이인형만들기)+학교밖배움터+천연염색에삶을물들이다+줍고+잡는농촌체험+단양살아보기+감자캐기체험+나는야+맥가이버목공예프로그램+내도도시농부다+내도자연인이다산촌체험+꿈길체험처프로그램+감자심기체험<NA><NA><NA>충청북도 단양군 적성면 금수산로 3<NA>이종기043-421-96002017-10-24http://dhyu.kr충청북도 단양군청37.021036128.2863972024-01-18B552149한국농어촌공사