Overview

Dataset statistics

Number of variables17
Number of observations80
Missing cells102
Missing cells (%)7.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory138.7 B

Variable types

Categorical5
Text7
Numeric1
Unsupported3
DateTime1

Alerts

데이터기준일자 has constant value ""Constant
시도명 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
관리기관명 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
시군구명 is highly overall correlated with 시도명 and 3 other fieldsHigh correlation
체험마을면적 is highly overall correlated with 대표전화번호High correlation
체험프로그램구분 is highly overall correlated with 시군구명 and 2 other fieldsHigh correlation
대표전화번호 is highly overall correlated with 체험마을면적 and 3 other fieldsHigh correlation
시도명 is highly imbalanced (71.4%)Imbalance
대표전화번호 is highly imbalanced (53.5%)Imbalance
보유시설정보 has 1 (1.2%) missing valuesMissing
체험마을면적 has 20 (25.0%) missing valuesMissing
체험마을사진 has 51 (63.7%) missing valuesMissing
대표자성명 has 1 (1.2%) missing valuesMissing
홈페이지주소 has 15 (18.8%) missing valuesMissing
위도 has 7 (8.8%) missing valuesMissing
경도 has 7 (8.8%) missing valuesMissing
체험마을명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
경도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 15:41:25.835470
Analysis finished2023-12-10 15:41:29.606132
Duration3.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
남원시
14 
진안군
11 
무주군
10 
임실군
10 
완주군
Other values (7)
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row전주시
2nd row군산시
3rd row군산시
4th row군산시
5th row군산시

Common Values

ValueCountFrequency (%)
남원시 14
17.5%
진안군 11
13.8%
무주군 10
12.5%
임실군 10
12.5%
완주군 7
8.8%
부안군 7
8.8%
장수군 6
7.5%
익산시 5
 
6.2%
군산시 4
 
5.0%
고창군 3
 
3.8%
Other values (2) 3
 
3.8%

Length

2023-12-11T00:41:29.756473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남원시 14
17.5%
진안군 11
13.8%
무주군 10
12.5%
임실군 10
12.5%
완주군 7
8.8%
부안군 7
8.8%
장수군 6
7.5%
익산시 5
 
6.2%
군산시 4
 
5.0%
고창군 3
 
3.8%
Other values (2) 3
 
3.8%

체험마을명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T00:41:30.279238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.1375
Min length2

Characters and Unicode

Total characters411
Distinct characters155
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st row학전마을
2nd row신시도
3rd row장자도
4th row선유도
5th row깐치멀
ValueCountFrequency (%)
학전마을 1
 
1.2%
포동 1
 
1.2%
월현마을 1
 
1.2%
구신마을 1
 
1.2%
용계마을 1
 
1.2%
양악마을 1
 
1.2%
주촌마을 1
 
1.2%
초리넝쿨마을 1
 
1.2%
치목삼베마을 1
 
1.2%
권역 1
 
1.2%
Other values (71) 71
87.7%
2023-12-11T00:41:31.004662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
14.8%
60
 
14.6%
8
 
1.9%
7
 
1.7%
( 7
 
1.7%
) 7
 
1.7%
6
 
1.5%
6
 
1.5%
6
 
1.5%
5
 
1.2%
Other values (145) 238
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
96.4%
Open Punctuation 7
 
1.7%
Close Punctuation 7
 
1.7%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
61
 
15.4%
60
 
15.2%
8
 
2.0%
7
 
1.8%
6
 
1.5%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
5
 
1.3%
Other values (142) 227
57.3%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
96.1%
Common 15
 
3.6%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
61
 
15.4%
60
 
15.2%
8
 
2.0%
7
 
1.8%
6
 
1.5%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
5
 
1.3%
Other values (141) 226
57.2%
Common
ValueCountFrequency (%)
( 7
46.7%
) 7
46.7%
1
 
6.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
96.1%
ASCII 15
 
3.6%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
61
 
15.4%
60
 
15.2%
8
 
2.0%
7
 
1.8%
6
 
1.5%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
5
 
1.3%
Other values (141) 226
57.2%
ASCII
ValueCountFrequency (%)
( 7
46.7%
) 7
46.7%
1
 
6.7%
CJK
ValueCountFrequency (%)
1
100.0%

시도명
Categorical

HIGH CORRELATION  IMBALANCE 

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

Length

Max length4
Median length4
Mean length3.9
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라북도
2nd row전북
3rd row전북
4th row전북
5th row전북

Common Values

ValueCountFrequency (%)
전라북도 76
95.0%
전북 4
 
5.0%

Length

2023-12-11T00:41:31.301955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:41:31.573951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 76
95.0%
전북 4
 
5.0%

체험프로그램구분
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
농촌체험
12 
영농문화체험
만들기
만들기체험
농촌체험 프로그램 (분기별 구분)
Other values (27)
40 

Length

Max length42
Median length36
Mean length10.075
Min length3

Unique

Unique19 ?
Unique (%)23.8%

Sample

1st row농작물경작체험, 만들기체험
2nd row어촌체험
3rd row어촌체험
4th row어촌체험
5th row농촌체험

Common Values

ValueCountFrequency (%)
농촌체험 12
15.0%
영농문화체험 8
 
10.0%
만들기 7
 
8.8%
만들기체험 7
 
8.8%
농촌체험 프로그램 (분기별 구분) 6
 
7.5%
자연생태체험 4
 
5.0%
즐기기 3
 
3.8%
어촌체험 3
 
3.8%
농작물경작체험 3
 
3.8%
농작물경작체험 만들기체험 2
 
2.5%
Other values (22) 25
31.2%

Length

2023-12-11T00:41:31.796289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농촌체험 18
13.7%
만들기체험 17
13.0%
농작물경작체험 16
12.2%
자연생태체험 10
 
7.6%
영농문화체험 8
 
6.1%
만들기 7
 
5.3%
전통문화체험 7
 
5.3%
분기별 6
 
4.6%
구분 6
 
4.6%
전통음식체험 6
 
4.6%
Other values (17) 30
22.9%
Distinct76
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T00:41:32.278450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length176
Median length63
Mean length32.1125
Min length3

Characters and Unicode

Total characters2569
Distinct characters299
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)91.2%

Sample

1st row감자캐기, 고구마캐기, 딸기따기, 두부만들기, 동지팥죽만들기, 김장체험, 다육체험, 도예체험
2nd row갯벌체험 등
3rd row갯벌체험 등
4th row갯벌체험 등
5th row두부,떡,빵,한과만들기
ValueCountFrequency (%)
33
 
6.6%
24
 
4.8%
영농체험 9
 
1.8%
만들기 9
 
1.8%
고구마 8
 
1.6%
12~2월 6
 
1.2%
6
 
1.2%
6
 
1.2%
옥수수 6
 
1.2%
두부만들기 6
 
1.2%
Other values (261) 387
77.4%
2023-12-11T00:41:33.021080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
431
 
16.8%
, 206
 
8.0%
168
 
6.5%
75
 
2.9%
73
 
2.8%
60
 
2.3%
58
 
2.3%
48
 
1.9%
36
 
1.4%
34
 
1.3%
Other values (289) 1380
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1761
68.5%
Space Separator 431
 
16.8%
Other Punctuation 207
 
8.1%
Decimal Number 60
 
2.3%
Open Punctuation 34
 
1.3%
Close Punctuation 34
 
1.3%
Math Symbol 24
 
0.9%
Control 18
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
168
 
9.5%
75
 
4.3%
73
 
4.1%
60
 
3.4%
58
 
3.3%
48
 
2.7%
36
 
2.0%
34
 
1.9%
31
 
1.8%
31
 
1.8%
Other values (275) 1147
65.1%
Decimal Number
ValueCountFrequency (%)
1 18
30.0%
2 12
20.0%
5 6
 
10.0%
6 6
 
10.0%
3 6
 
10.0%
8 6
 
10.0%
9 6
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 206
99.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
431
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Math Symbol
ValueCountFrequency (%)
24
100.0%
Control
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1761
68.5%
Common 808
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
168
 
9.5%
75
 
4.3%
73
 
4.1%
60
 
3.4%
58
 
3.3%
48
 
2.7%
36
 
2.0%
34
 
1.9%
31
 
1.8%
31
 
1.8%
Other values (275) 1147
65.1%
Common
ValueCountFrequency (%)
431
53.3%
, 206
25.5%
( 34
 
4.2%
) 34
 
4.2%
24
 
3.0%
18
 
2.2%
1 18
 
2.2%
2 12
 
1.5%
5 6
 
0.7%
6 6
 
0.7%
Other values (4) 19
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1761
68.5%
ASCII 784
30.5%
None 24
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
431
55.0%
, 206
26.3%
( 34
 
4.3%
) 34
 
4.3%
18
 
2.3%
1 18
 
2.3%
2 12
 
1.5%
5 6
 
0.8%
6 6
 
0.8%
3 6
 
0.8%
Other values (3) 13
 
1.7%
Hangul
ValueCountFrequency (%)
168
 
9.5%
75
 
4.3%
73
 
4.1%
60
 
3.4%
58
 
3.3%
48
 
2.7%
36
 
2.0%
34
 
1.9%
31
 
1.8%
31
 
1.8%
Other values (275) 1147
65.1%
None
ValueCountFrequency (%)
24
100.0%

보유시설정보
Text

MISSING 

Distinct58
Distinct (%)73.4%
Missing1
Missing (%)1.2%
Memory size772.0 B
2023-12-11T00:41:33.355678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length34
Mean length15.873418
Min length2

Characters and Unicode

Total characters1254
Distinct characters170
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

Unique50 ?
Unique (%)63.3%

Sample

1st row체험장, 수영장
2nd row안내소, 교육장, 체험장
3rd row안내소, 교육장, 체험장
4th row안내소, 교육장, 체험장
5th row안내소, 교육장, 체험장
ValueCountFrequency (%)
체험장 15
 
6.2%
마을회관 12
 
5.0%
체험관 11
 
4.6%
숙박시설 11
 
4.6%
숙박 8
 
3.3%
체험(1)및 7
 
2.9%
식당 6
 
2.5%
6
 
2.5%
즉석식품 5
 
2.1%
방문자센터 5
 
2.1%
Other values (90) 154
64.2%
2023-12-11T00:41:33.981927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
10.7%
, 92
 
7.3%
72
 
5.7%
69
 
5.5%
68
 
5.4%
48
 
3.8%
34
 
2.7%
31
 
2.5%
29
 
2.3%
( 26
 
2.1%
Other values (160) 651
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 919
73.3%
Space Separator 134
 
10.7%
Other Punctuation 92
 
7.3%
Control 34
 
2.7%
Open Punctuation 26
 
2.1%
Close Punctuation 26
 
2.1%
Decimal Number 23
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
72
 
7.8%
69
 
7.5%
68
 
7.4%
48
 
5.2%
31
 
3.4%
29
 
3.2%
23
 
2.5%
22
 
2.4%
21
 
2.3%
20
 
2.2%
Other values (149) 516
56.1%
Decimal Number
ValueCountFrequency (%)
1 8
34.8%
2 5
21.7%
4 3
 
13.0%
5 3
 
13.0%
3 3
 
13.0%
0 1
 
4.3%
Space Separator
ValueCountFrequency (%)
134
100.0%
Other Punctuation
ValueCountFrequency (%)
, 92
100.0%
Control
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 919
73.3%
Common 335
 
26.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
72
 
7.8%
69
 
7.5%
68
 
7.4%
48
 
5.2%
31
 
3.4%
29
 
3.2%
23
 
2.5%
22
 
2.4%
21
 
2.3%
20
 
2.2%
Other values (149) 516
56.1%
Common
ValueCountFrequency (%)
134
40.0%
, 92
27.5%
34
 
10.1%
( 26
 
7.8%
) 26
 
7.8%
1 8
 
2.4%
2 5
 
1.5%
4 3
 
0.9%
5 3
 
0.9%
3 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 919
73.3%
ASCII 335
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
40.0%
, 92
27.5%
34
 
10.1%
( 26
 
7.8%
) 26
 
7.8%
1 8
 
2.4%
2 5
 
1.5%
4 3
 
0.9%
5 3
 
0.9%
3 3
 
0.9%
Hangul
ValueCountFrequency (%)
72
 
7.8%
69
 
7.5%
68
 
7.4%
48
 
5.2%
31
 
3.4%
29
 
3.2%
23
 
2.5%
22
 
2.4%
21
 
2.3%
20
 
2.2%
Other values (149) 516
56.1%

체험마을면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct57
Distinct (%)95.0%
Missing20
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean100929.1
Minimum36.2
Maximum2000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T00:41:34.265940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.2
5-th percentile107.655
Q1344.8975
median933.1
Q33790
95-th percentile506500
Maximum2000000
Range1999963.8
Interquartile range (IQR)3445.1025

Descriptive statistics

Standard deviation380756.46
Coefficient of variation (CV)3.7725142
Kurtosis18.132443
Mean100929.1
Median Absolute Deviation (MAD)705.1
Skewness4.2969358
Sum6055745.9
Variance1.4497548 × 1011
MonotonicityNot monotonic
2023-12-11T00:41:35.050164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330.0 2
 
2.5%
1260.8 2
 
2.5%
200000.0 2
 
2.5%
2242.0 1
 
1.2%
888.2 1
 
1.2%
401.0 1
 
1.2%
307.0 1
 
1.2%
379.0 1
 
1.2%
1951.0 1
 
1.2%
406.0 1
 
1.2%
Other values (47) 47
58.8%
(Missing) 20
25.0%
ValueCountFrequency (%)
36.2 1
1.2%
39.7 1
1.2%
63.1 1
1.2%
110.0 1
1.2%
138.7 1
1.2%
148.5 1
1.2%
167.0 1
1.2%
186.0 1
1.2%
222.0 1
1.2%
234.0 1
1.2%
ValueCountFrequency (%)
2000000.0 1
1.2%
1850000.0 1
1.2%
1200000.0 1
1.2%
470000.0 1
1.2%
200000.0 2
2.5%
18476.0 1
1.2%
18023.62 1
1.2%
12046.0 1
1.2%
11450.0 1
1.2%
10436.0 1
1.2%

체험마을사진
Text

MISSING 

Distinct27
Distinct (%)93.1%
Missing51
Missing (%)63.7%
Memory size772.0 B
2023-12-11T00:41:35.583017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length142
Median length65
Mean length61.275862
Min length1

Characters and Unicode

Total characters1777
Distinct characters76
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)89.7%

Sample

1st rowhttp://tour.invil.com/front/img.do?p=/Storage/hj/weekend_farm/dubu2_2007618181821875.jpg
2nd rowhttp://www.jirisanchon.com/cc730.php?mode=READ&idx=218&bcidx=20&page=2
3rd rowhttp://chueo.go2vil.org/go2vil/bbs_editor/listimg.html?code=photo&page=1&keyfield=&key=&key_jarang=1&key_uni=127716
4th rowhttp://chunhyang.go2vil.org/go2vil/bbs_editor/viewbody_img.html?code=photo&page=1&id=484&number=484&keyfield=&key=&key_jarang=1&key_uni=137411
5th rowhttp://dalorum.go2vil.org/go2vil/bbs_editor/viewbody_img.html?code=photo&page=1&id=1611&number=1611&keyfield=&key=&key_jarang=1&key_uni=139172
ValueCountFrequency (%)
없음 3
 
10.7%
http://www.jirisanchon.com/cc730.php?mode=read&idx=218&bcidx=20&page=2 1
 
3.6%
http://tour.invil.com/front/img.do?p=/storage/hj/weekend_farm/dubu2_2007618181821875.jpg 1
 
3.6%
http://hc.invil.org/index.html?menuno=4069&lnb=10101 1
 
3.6%
http://unho.invil.org/index.html?menuno=3873&lnb=10201 1
 
3.6%
http://www.kyehwado.com/cpn/cpn_2.php 1
 
3.6%
http://www.woo-dong.co.kr/sub.html?menu=7 1
 
3.6%
http://tour.invil.com/front/tour/gds/data.do?contsno=1701215&pdcd=he99999017706 1
 
3.6%
http://www.poweranduk.com/sub200/sub203.html 1
 
3.6%
http://www.경천애인.com/funny/?todo=expe_view&code=!77jumumumumumumu$ud&searchstr=&keyword=&page=1&node=funny 1
 
3.6%
Other values (16) 16
57.1%
2023-12-11T00:41:36.346020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 106
 
6.0%
/ 103
 
5.8%
t 93
 
5.2%
e 92
 
5.2%
. 68
 
3.8%
= 67
 
3.8%
n 64
 
3.6%
i 63
 
3.5%
h 62
 
3.5%
p 61
 
3.4%
Other values (66) 998
56.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1156
65.1%
Other Punctuation 264
 
14.9%
Decimal Number 208
 
11.7%
Math Symbol 67
 
3.8%
Connector Punctuation 38
 
2.1%
Other Letter 23
 
1.3%
Uppercase Letter 18
 
1.0%
Currency Symbol 1
 
0.1%
Space Separator 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 106
 
9.2%
t 93
 
8.0%
e 92
 
8.0%
n 64
 
5.5%
i 63
 
5.4%
h 62
 
5.4%
p 61
 
5.3%
d 60
 
5.2%
m 53
 
4.6%
r 53
 
4.6%
Other values (15) 449
38.8%
Other Letter
ValueCountFrequency (%)
3
 
13.0%
3
 
13.0%
2
 
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (8) 8
34.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
11.1%
D 2
11.1%
R 2
11.1%
P 2
11.1%
E 2
11.1%
H 2
11.1%
J 1
5.6%
N 1
5.6%
C 1
5.6%
T 1
5.6%
Other values (2) 2
11.1%
Decimal Number
ValueCountFrequency (%)
1 57
27.4%
0 31
14.9%
2 30
14.4%
7 20
 
9.6%
4 15
 
7.2%
9 15
 
7.2%
8 13
 
6.2%
6 11
 
5.3%
3 11
 
5.3%
5 5
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 103
39.0%
. 68
25.8%
& 50
18.9%
: 25
 
9.5%
? 17
 
6.4%
! 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 67
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 38
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1174
66.1%
Common 580
32.6%
Hangul 23
 
1.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 106
 
9.0%
t 93
 
7.9%
e 92
 
7.8%
n 64
 
5.5%
i 63
 
5.4%
h 62
 
5.3%
p 61
 
5.2%
d 60
 
5.1%
m 53
 
4.5%
r 53
 
4.5%
Other values (27) 467
39.8%
Common
ValueCountFrequency (%)
/ 103
17.8%
. 68
11.7%
= 67
11.6%
1 57
9.8%
& 50
8.6%
_ 38
 
6.6%
0 31
 
5.3%
2 30
 
5.2%
: 25
 
4.3%
7 20
 
3.4%
Other values (11) 91
15.7%
Hangul
ValueCountFrequency (%)
3
 
13.0%
3
 
13.0%
2
 
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (8) 8
34.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1754
98.7%
Hangul 23
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 106
 
6.0%
/ 103
 
5.9%
t 93
 
5.3%
e 92
 
5.2%
. 68
 
3.9%
= 67
 
3.8%
n 64
 
3.6%
i 63
 
3.6%
h 62
 
3.5%
p 61
 
3.5%
Other values (48) 975
55.6%
Hangul
ValueCountFrequency (%)
3
 
13.0%
3
 
13.0%
2
 
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (8) 8
34.8%
Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T00:41:36.899123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17.5
Mean length15.575
Min length12

Characters and Unicode

Total characters1246
Distinct characters148
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

Unique80 ?
Unique (%)100.0%

Sample

1st row전주시 완산구 학전길 43
2nd row군산시 옥도면 신시도길 83-7
3rd row군산시 옥도면 장자도1길 26-1
4th row군산시 옥도면 선유도3길 43
5th row군산시 성산면 깐치멀1길 27-1
ValueCountFrequency (%)
남원시 14
 
4.4%
진안군 11
 
3.5%
임실군 10
 
3.1%
무주군 10
 
3.1%
완주군 7
 
2.2%
부안군 7
 
2.2%
장수군 6
 
1.9%
익산시 5
 
1.6%
군산시 4
 
1.3%
운봉읍 4
 
1.3%
Other values (205) 240
75.5%
2023-12-11T00:41:37.808592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
19.1%
68
 
5.5%
58
 
4.7%
54
 
4.3%
1 41
 
3.3%
2 37
 
3.0%
30
 
2.4%
3 28
 
2.2%
4 28
 
2.2%
28
 
2.2%
Other values (138) 636
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 753
60.4%
Space Separator 238
 
19.1%
Decimal Number 231
 
18.5%
Dash Punctuation 24
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
 
9.0%
58
 
7.7%
54
 
7.2%
30
 
4.0%
28
 
3.7%
26
 
3.5%
22
 
2.9%
20
 
2.7%
19
 
2.5%
18
 
2.4%
Other values (126) 410
54.4%
Decimal Number
ValueCountFrequency (%)
1 41
17.7%
2 37
16.0%
3 28
12.1%
4 28
12.1%
5 22
9.5%
6 18
7.8%
8 16
 
6.9%
9 15
 
6.5%
7 14
 
6.1%
0 12
 
5.2%
Space Separator
ValueCountFrequency (%)
238
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 753
60.4%
Common 493
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
 
9.0%
58
 
7.7%
54
 
7.2%
30
 
4.0%
28
 
3.7%
26
 
3.5%
22
 
2.9%
20
 
2.7%
19
 
2.5%
18
 
2.4%
Other values (126) 410
54.4%
Common
ValueCountFrequency (%)
238
48.3%
1 41
 
8.3%
2 37
 
7.5%
3 28
 
5.7%
4 28
 
5.7%
- 24
 
4.9%
5 22
 
4.5%
6 18
 
3.7%
8 16
 
3.2%
9 15
 
3.0%
Other values (2) 26
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 753
60.4%
ASCII 493
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
48.3%
1 41
 
8.3%
2 37
 
7.5%
3 28
 
5.7%
4 28
 
5.7%
- 24
 
4.9%
5 22
 
4.5%
6 18
 
3.7%
8 16
 
3.2%
9 15
 
3.0%
Other values (2) 26
 
5.3%
Hangul
ValueCountFrequency (%)
68
 
9.0%
58
 
7.7%
54
 
7.2%
30
 
4.0%
28
 
3.7%
26
 
3.5%
22
 
2.9%
20
 
2.7%
19
 
2.5%
18
 
2.4%
Other values (126) 410
54.4%

대표자성명
Text

MISSING 

Distinct79
Distinct (%)100.0%
Missing1
Missing (%)1.2%
Memory size772.0 B
2023-12-11T00:41:38.307050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0126582
Min length3

Characters and Unicode

Total characters238
Distinct characters92
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

Unique79 ?
Unique (%)100.0%

Sample

1st row김종록
2nd row김영현
3rd row이경호
4th row임동준
5th row윤경옥
ValueCountFrequency (%)
김종록 1
 
1.3%
김종태 1
 
1.3%
하영택 1
 
1.3%
전옥기 1
 
1.3%
임영근 1
 
1.3%
김생진 1
 
1.3%
이경환 1
 
1.3%
임재훈 1
 
1.3%
한규병 1
 
1.3%
김원수 1
 
1.3%
Other values (69) 69
87.3%
2023-12-11T00:41:39.071641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
5.9%
11
 
4.6%
10
 
4.2%
8
 
3.4%
7
 
2.9%
6
 
2.5%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (82) 161
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
5.9%
11
 
4.6%
10
 
4.2%
8
 
3.4%
7
 
3.0%
6
 
2.5%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (81) 160
67.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
5.9%
11
 
4.6%
10
 
4.2%
8
 
3.4%
7
 
3.0%
6
 
2.5%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (81) 160
67.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
5.9%
11
 
4.6%
10
 
4.2%
8
 
3.4%
7
 
3.0%
6
 
2.5%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (81) 160
67.5%
ASCII
ValueCountFrequency (%)
1
100.0%

대표전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct12
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
57 
X
10 
없음
 
3
063-862-8600
 
2
063-221-4161
 
1
Other values (7)

Length

Max length13
Median length4
Mean length4.5625
Min length1

Unique

Unique8 ?
Unique (%)10.0%

Sample

1st row063-221-4161
2nd row<NA>
3rd row<NA>
4th row063-446-9355
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 57
71.2%
X 10
 
12.5%
없음 3
 
3.8%
063-862-8600 2
 
2.5%
063-221-4161 1
 
1.2%
063-446-9355 1
 
1.2%
063-862-3918 1
 
1.2%
070-4123-6627 1
 
1.2%
063-841-7008 1
 
1.2%
063-536-7742 1
 
1.2%
Other values (2) 2
 
2.5%

Length

2023-12-11T00:41:39.466642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 57
71.2%
x 10
 
12.5%
없음 3
 
3.8%
063-862-8600 2
 
2.5%
063-221-4161 1
 
1.2%
063-446-9355 1
 
1.2%
063-862-3918 1
 
1.2%
070-4123-6627 1
 
1.2%
063-841-7008 1
 
1.2%
063-536-7742 1
 
1.2%
Other values (2) 2
 
2.5%

지정일자
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size772.0 B

홈페이지주소
Text

MISSING 

Distinct55
Distinct (%)84.6%
Missing15
Missing (%)18.8%
Memory size772.0 B
2023-12-11T00:41:39.867613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length31
Mean length19.015385
Min length1

Characters and Unicode

Total characters1236
Distinct characters56
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

Unique53 ?
Unique (%)81.5%

Sample

1st rowwww.hj.invil.org
2nd rowhttp://sinsido.seantour.com
3rd rowhttp://jangjado.seantour.org
4th rowhttp://seonyudo.seantour.com
5th rowhttp://bird.invil.org/index.html
ValueCountFrequency (%)
x 10
 
15.4%
없음 2
 
3.1%
http://www.kyehwado.com 1
 
1.5%
http://lovegam.oranc.org/cart 1
 
1.5%
http://hc.invil.org 1
 
1.5%
http://unho.invil.org 1
 
1.5%
www.hj.invil.org 1
 
1.5%
http://jangsuvill.com 1
 
1.5%
www.gandong.go2vii.org 1
 
1.5%
www.goodvillage.kr 1
 
1.5%
Other values (45) 45
69.2%
2023-12-11T00:41:40.505151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 107
 
8.7%
/ 103
 
8.3%
t 101
 
8.2%
o 91
 
7.4%
w 78
 
6.3%
n 62
 
5.0%
h 62
 
5.0%
p 55
 
4.4%
i 49
 
4.0%
g 47
 
3.8%
Other values (46) 481
38.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 935
75.6%
Other Punctuation 253
 
20.5%
Other Letter 26
 
2.1%
Uppercase Letter 10
 
0.8%
Decimal Number 8
 
0.6%
Dash Punctuation 2
 
0.2%
Space Separator 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 101
 
10.8%
o 91
 
9.7%
w 78
 
8.3%
n 62
 
6.6%
h 62
 
6.6%
p 55
 
5.9%
i 49
 
5.2%
g 47
 
5.0%
c 43
 
4.6%
l 42
 
4.5%
Other values (14) 305
32.6%
Other Letter
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (12) 12
46.2%
Other Punctuation
ValueCountFrequency (%)
. 107
42.3%
/ 103
40.7%
: 42
 
16.6%
? 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 6
75.0%
0 1
 
12.5%
6 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
X 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 945
76.5%
Common 265
 
21.4%
Hangul 26
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 101
 
10.7%
o 91
 
9.6%
w 78
 
8.3%
n 62
 
6.6%
h 62
 
6.6%
p 55
 
5.8%
i 49
 
5.2%
g 47
 
5.0%
c 43
 
4.6%
l 42
 
4.4%
Other values (15) 315
33.3%
Hangul
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (12) 12
46.2%
Common
ValueCountFrequency (%)
. 107
40.4%
/ 103
38.9%
: 42
 
15.8%
2 6
 
2.3%
- 2
 
0.8%
2
 
0.8%
0 1
 
0.4%
6 1
 
0.4%
? 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1210
97.9%
Hangul 26
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 107
 
8.8%
/ 103
 
8.5%
t 101
 
8.3%
o 91
 
7.5%
w 78
 
6.4%
n 62
 
5.1%
h 62
 
5.1%
p 55
 
4.5%
i 49
 
4.0%
g 47
 
3.9%
Other values (24) 455
37.6%
Hangul
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (12) 12
46.2%

관리기관명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
전라북도 남원시청
14 
진안군
11 
전라북도 무주군청
10 
전라북도 임실군청
10 
전라북도 완주군청
Other values (8)
28 

Length

Max length10
Median length9
Mean length7.5375
Min length3

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row전라북도 전주시
2nd row군산시
3rd row장자어촌체험마을
4th row군산시
5th row군산시

Common Values

ValueCountFrequency (%)
전라북도 남원시청 14
17.5%
진안군 11
13.8%
전라북도 무주군청 10
12.5%
전라북도 임실군청 10
12.5%
전라북도 완주군청 7
8.8%
전라북도 부안군청 7
8.8%
장수군 6
7.5%
전라북도 익산시청 5
 
6.2%
군산시 3
 
3.8%
전라북도 고창군청 3
 
3.8%
Other values (3) 4
 
5.0%

Length

2023-12-11T00:41:40.794823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 59
42.4%
남원시청 14
 
10.1%
진안군 11
 
7.9%
무주군청 10
 
7.2%
임실군청 10
 
7.2%
완주군청 7
 
5.0%
부안군청 7
 
5.0%
장수군 6
 
4.3%
익산시청 5
 
3.6%
군산시 3
 
2.2%
Other values (4) 7
 
5.0%

위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7
Missing (%)8.8%
Memory size772.0 B

경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7
Missing (%)8.8%
Memory size772.0 B

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2015-09-30 00:00:00
Maximum2015-09-30 00:00:00
2023-12-11T00:41:41.017524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:41:41.206457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T00:41:28.080610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T00:41:41.373240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명체험마을명시도명체험프로그램구분체험내용보유시설정보체험마을면적체험마을사진소재지도로명주소대표자성명대표전화번호홈페이지주소관리기관명
시군구명1.0001.0001.0000.9751.0000.9980.4361.0001.0001.0001.0000.9881.000
체험마을명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시도명1.0001.0001.0000.9061.0001.0000.000NaN1.0001.0001.0001.0001.000
체험프로그램구분0.9751.0000.9061.0000.9860.8250.0000.0001.0001.0000.6450.0000.962
체험내용1.0001.0001.0000.9861.0000.9991.0000.9691.0001.0001.0000.9770.000
보유시설정보0.9981.0001.0000.8250.9991.0001.0000.8891.0001.0001.0000.9970.980
체험마을면적0.4361.0000.0000.0001.0001.0001.0001.0001.0001.000NaN1.0000.381
체험마을사진1.0001.000NaN0.0000.9690.8891.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자성명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표전화번호1.0001.0001.0000.6451.0001.000NaN1.0001.0001.0001.0000.9831.000
홈페이지주소0.9881.0001.0000.0000.9770.9971.0001.0001.0001.0000.9831.0000.990
관리기관명1.0001.0001.0000.9620.0000.9800.3811.0001.0001.0001.0000.9901.000
2023-12-11T00:41:41.676420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명관리기관명대표전화번호시군구명체험프로그램구분
시도명1.0000.9270.7560.9340.609
관리기관명0.9271.0000.8660.9930.628
대표전화번호0.7560.8661.0000.8660.000
시군구명0.9340.9930.8661.0000.680
체험프로그램구분0.6090.6280.0000.6801.000
2023-12-11T00:41:41.885834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체험마을면적시군구명시도명체험프로그램구분대표전화번호관리기관명
체험마을면적1.0000.2550.0000.0001.0000.217
시군구명0.2551.0000.9340.6800.8660.993
시도명0.0000.9341.0000.6090.7560.927
체험프로그램구분0.0000.6800.6091.0000.0000.628
대표전화번호1.0000.8660.7560.0001.0000.866
관리기관명0.2170.9930.9270.6280.8661.000

Missing values

2023-12-11T00:41:28.504668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T00:41:29.026033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T00:41:29.354959image/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

시군구명체험마을명시도명체험프로그램구분체험내용보유시설정보체험마을면적체험마을사진소재지도로명주소대표자성명대표전화번호지정일자홈페이지주소관리기관명위도경도데이터기준일자
0전주시학전마을전라북도농작물경작체험, 만들기체험감자캐기, 고구마캐기, 딸기따기, 두부만들기, 동지팥죽만들기, 김장체험, 다육체험, 도예체험체험장, 수영장1178.0http://tour.invil.com/front/img.do?p=/Storage/hj/weekend_farm/dubu2_2007618181821875.jpg전주시 완산구 학전길 43김종록063-221-41612011-11-09 00:00:00www.hj.invil.org전라북도 전주시35.764515127.1063442015-09-30
1군산시신시도전북어촌체험갯벌체험 등안내소, 교육장, 체험장240.0<NA>군산시 옥도면 신시도길 83-7김영현<NA>2011.05.18http://sinsido.seantour.com군산시35.809925126.3949932015-09-30
2군산시장자도전북어촌체험갯벌체험 등안내소, 교육장, 체험장222.0<NA>군산시 옥도면 장자도1길 26-1이경호<NA>2007.01.25.http://jangjado.seantour.org장자어촌체험마을35.814077126.4522842015-09-30
3군산시선유도전북어촌체험갯벌체험 등안내소, 교육장, 체험장360.0<NA>군산시 옥도면 선유도3길 43임동준063-446-93552011.06.30.http://seonyudo.seantour.com군산시35.824562126.4161262015-09-30
4군산시깐치멀전북농촌체험두부,떡,빵,한과만들기안내소, 교육장, 체험장330.0<NA>군산시 성산면 깐치멀1길 27-1윤경옥<NA>2008http://bird.invil.org/index.html군산시NaNNaN2015-09-30
5익산시성당포구마을전라북도농작물경작체험 전통음식체험 전통문화체험 레포츠감자캐기, 옥수수따기 김치담그기 국궁체험, 좌도농악배우기 고란초배체험, 물놀이체험 자전거타기숙박시설 음식제공 및 즉석식품 제조 시설 캠핑장 세미나실11450.0<NA>익산시 성당면 성당로 762안상일063-862-39182009.9.10http://sungdang.go2vil.org전라북도 익산시청36.131331126.9210612015-09-30
6익산시산들강웅포마을전라북도농작물경작체험 전통음식체험 만들기체험 레포츠모심기, 농작물 수확체험 블루베리 호떡체험, 전통떡체험 대나무통피리 만들기 황토돛배타기숙박시설 음식제공 및 즉석식품 제조 시설 세미나실 황토방체험관2974.0<NA>익산시 웅포면 강변로 284이희광070-4123-66272012.3.2http://www.ungpo.net전라북도 익산시청36.087727126.8842122015-09-30
7익산시두동편백마을전라북도농작물경작체험 자연생태체험 만들기체험감자캐기, 고구마캐기, 옥수수따기 편백숲산책 밀랍초만들기숙박시설 음식제공 및 즉석식품 제조 시설 휴게시설1550.0<NA>익산시 성당면 두동길 88박귀열063-862-86002011.11.24http://dd.invil.org전라북도 익산시청36.11095126.9184822015-09-30
8익산시풀빛향기송정마을전라북도만들기체험천연염색체험, 꽃누르미(압화)체험, 천연비누만들기, 양초공예, 화장품만들기숙박시설 음식제공 및 즉석식품 제조 시설 체험관1148.0<NA>익산시 삼기면 검지1길 13박중근063-862-86002011.11.21<NA>전라북도 익산시청36.03417126.9887032015-09-30
9익산시죽청마을전라북도농작물경작체험 만들기체험고구마캐기, 감자캐기, 아로니아 수확체험 대나무물총만들기, 도예체험, 야생화 화분만들기음식제공 및 즉석식품 제조 시설 체험관1036.0<NA>익산시 삼기면 죽청길 46-50임우섭063-841-70082014.5.12<NA>전라북도 익산시청36.033425127.0178262015-09-30
시군구명체험마을명시도명체험프로그램구분체험내용보유시설정보체험마을면적체험마을사진소재지도로명주소대표자성명대표전화번호지정일자홈페이지주소관리기관명위도경도데이터기준일자
70고창군고산돌맹(상금)마을전라북도농작물경작체험오디,복분자따기 고사리꺽기숙박시설 음식제공조리시설186.0없음고창군 대산면 상금길 52-22박동호없음2012-11-22 00:00:00www.kosandm.co.kr전라북도 고창군청35.324027126.6307132015-09-30
71고창군강선달마을전라북도농작물경작체험 자연생태체험오디,복분자따기 소나무숲숙박시설 생활편의시설 족구장347.0없음고창군 상하면 진암구시포로 495방세혁없음2014-11-15 00:00:00없음전라북도 고창군청35.442874126.439932015-09-30
72고창군질마재권역전라북도농작물경작체험 만들기체험오디,복분자따기 국화열쇠고리만들기숙박시설 생활편의시설418.0없음고창군 부안면 질마재로 16정인석없음2015-05-11 00:00:00www.고창질마재.com전라북도 고창군청35.535755126.6106982015-09-30
73부안군우리밀마을전라북도만들기체험산나물채취, 곤충체집, 우리밀칼국수만들기, 도예체험종합체험관,식당,숙박동,음식체험장,도자기체험장5556.0http://www.woo-dong.co.kr/sub.html?menu=7부안군 보안면 반계로 14최인호063-581-94452011-03-30 00:00:00http://www.woo-dong.co.kr/전라북도 부안군청35.612217126.6327672015-09-30
74부안군사랑감마을전라북도자연생태체험곶감만들기, 김장김치 담그기, 감따기, 오디 및 참죽 수확, 감물들이기, 가재및 다슬기 잡기<NA>1260.8<NA>부안군 보안면 사창길 125송일락<NA>2011-09-30 00:00:00http://lovegam.oranc.org/cart/전라북도 부안군청35.642152126.6585622015-09-30
75부안군계화도마을전라북도자연생태체험산야초 채취, 삼백초 화분만들기, 삼백초 효소만들기, 농사체험방문자센터, 마을모정, 마을회관330.0http://www.kyehwado.com/cpn/cpn_2.php부안군 계화면 계화3길 95박영만<NA>2012-10-29 00:00:00http://www.kyehwado.com전라북도 부안군청35.793138126.6433252015-09-30
76부안군각동마을전라북도자연생태체험오디따기체험,뽕잎차만들기,뽕잎수제비만들기, 땅콩수확,황토찜질황토체험방,마을회관,오디체험장1260.8<NA>부안군 줄포면 선돌로 1377-9<NA><NA>2012-10-29 00:00:00<NA>전라북도 부안군청35.595629126.6793092015-09-30
77부안군운호마을전라북도만들기체험돼지감자수확,돼지감자차만들기,천연염색,계곡물놀이,비누만들기정보화센터,방문자센터,마을모정,마을회관526.0http://unho.invil.org/index.html?menuno=3873&lnb=10201부안군 진서면 운호길 29김성구<NA>2012-10-29 00:00:00http://unho.invil.org전라북도 부안군청35.595204126.5614222015-09-30
78부안군후촌갈대숲마을전라북도자연생태체험오디따기,절임배추,감자심기,자전거타기,갯벌체험,삼각김밥만들기,갈대공예정보화센터,체험관,마을모정,마을회관1995.0http://hc.invil.org/index.html?menuno=4069&lnb=10101부안군 줄포면 후촌길 67조순길<NA>2012-12-28 00:00:00http://hc.invil.org전라북도 부안군청35.594161126.6738092015-09-30
79부안군산들바다마을전라북도만들기체험두부만들기,자전거타기임산물판매장,방문자센터,농가식당,저온창고3563.0hppt://www.bsdb.kr부안군 진서면 내소사로 126장정종<NA>2014-10-22 00:00:00http://www.bsdb.kr전라북도 부안군청35.60747126.586322015-09-30