Overview

Dataset statistics

Number of variables20
Number of observations88
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory166.5 B

Variable types

Numeric4
Categorical9
Text6
DateTime1

Alerts

체험내용 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
시군명 is highly overall correlated with 순번 and 4 other fieldsHigh correlation
관리기관명 is highly overall correlated with 순번 and 4 other fieldsHigh correlation
순번 is highly overall correlated with 시군명 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
체험구분 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
데이터기준 is highly overall correlated with 순번 and 4 other fieldsHigh correlation
순번 has unique valuesUnique
체험마을명 has unique valuesUnique
도로명주소 has unique valuesUnique
대표자성명 has unique valuesUnique
경도 has unique valuesUnique
위도 has unique valuesUnique
마을면적 has 20 (22.7%) zerosZeros

Reproduction

Analysis started2024-03-14 00:50:16.672273
Analysis finished2024-03-14 00:50:19.464086
Duration2.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-03-14T09:50:19.554358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2024-03-14T09:50:19.693594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%

시군명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
남원시
14 
진안군
11 
무주군
10 
임실군
10 
김제시
8 
Other values (8)
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
남원시 14
15.9%
진안군 11
12.5%
무주군 10
11.4%
임실군 10
11.4%
김제시 8
9.1%
부안군 7
8.0%
완주군 7
8.0%
장수군 6
6.8%
익산시 5
 
5.7%
군산시 4
 
4.5%
Other values (3) 6
6.8%

Length

2024-03-14T09:50:19.791950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남원시 14
15.9%
진안군 11
12.5%
무주군 10
11.4%
임실군 10
11.4%
김제시 8
9.1%
부안군 7
8.0%
완주군 7
8.0%
장수군 6
6.8%
익산시 5
 
5.7%
군산시 4
 
4.5%
Other values (3) 6
6.8%

체험마을명
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-03-14T09:50:20.007581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.1704545
Min length2

Characters and Unicode

Total characters455
Distinct characters168
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

Unique88 ?
Unique (%)100.0%

Sample

1st row학전마을
2nd row성당포구마을
3rd row산들강웅포마을
4th row두동편백마을
5th row풀빛향기송정마을
ValueCountFrequency (%)
학전마을 1
 
1.1%
용계마을 1
 
1.1%
계화도마을 1
 
1.1%
사랑감마을 1
 
1.1%
우리밀마을 1
 
1.1%
질마재권역 1
 
1.1%
강선달마을 1
 
1.1%
고산돌맹(상금)마을 1
 
1.1%
덕치강변사리마을 1
 
1.1%
지사십이연주권역 1
 
1.1%
Other values (79) 79
88.8%
2024-03-14T09:50:20.327617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 66
 
14.5%
을 65
 
14.3%
) 10
 
2.2%
( 10
 
2.2%
덕 8
 
1.8%
촌 7
 
1.5%
동 7
 
1.5%
산 7
 
1.5%
신 6
 
1.3%
사 6
 
1.3%
Other values (158) 263
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 434
95.4%
Close Punctuation 10
 
2.2%
Open Punctuation 10
 
2.2%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 66
 
15.2%
을 65
 
15.0%
덕 8
 
1.8%
촌 7
 
1.6%
동 7
 
1.6%
산 7
 
1.6%
신 6
 
1.4%
사 6
 
1.4%
치 5
 
1.2%
도 5
 
1.2%
Other values (155) 252
58.1%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
95.2%
Common 21
 
4.6%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 66
 
15.2%
을 65
 
15.0%
덕 8
 
1.8%
촌 7
 
1.6%
동 7
 
1.6%
산 7
 
1.6%
신 6
 
1.4%
사 6
 
1.4%
치 5
 
1.2%
도 5
 
1.2%
Other values (154) 251
58.0%
Common
ValueCountFrequency (%)
) 10
47.6%
( 10
47.6%
1
 
4.8%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
95.2%
ASCII 21
 
4.6%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 66
 
15.2%
을 65
 
15.0%
덕 8
 
1.8%
촌 7
 
1.6%
동 7
 
1.6%
산 7
 
1.6%
신 6
 
1.4%
사 6
 
1.4%
치 5
 
1.2%
도 5
 
1.2%
Other values (154) 251
58.0%
ASCII
ValueCountFrequency (%)
) 10
47.6%
( 10
47.6%
1
 
4.8%
CJK
ValueCountFrequency (%)
休 1
100.0%

체험구분
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size836.0 B
만들기체험
15 
농촌체험
12 
영농문화체험
8 
만들기
7 
농촌체험 프로그램(분기별 구분)
6 
Other values (26)
40 

Length

Max length30
Median length23
Mean length9.1022727
Min length3

Unique

Unique17 ?
Unique (%)19.3%

Sample

1st row농작물경작체험, 만들기체험
2nd row농작물경작체험 전통음식체험 전통문화체험
3rd row농작물경작체험 전통음식체험만들기체험 레포츠
4th row농작물경작체험 자연생태체험만들기체험
5th row만들기체험

Common Values

ValueCountFrequency (%)
만들기체험 15
17.0%
농촌체험 12
13.6%
영농문화체험 8
 
9.1%
만들기 7
 
8.0%
농촌체험 프로그램(분기별 구분) 6
 
6.8%
자연생태체험 4
 
4.5%
농작물경작체험 3
 
3.4%
즐기기 3
 
3.4%
어촌체험 3
 
3.4%
농촌생활체험 2
 
2.3%
Other values (21) 25
28.4%

Length

2024-03-14T09:50:20.444675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
만들기체험 23
18.3%
농촌체험 18
14.3%
농작물경작체험 17
13.5%
자연생태체험 8
 
6.3%
영농문화체험 8
 
6.3%
전통문화체험 7
 
5.6%
만들기 7
 
5.6%
구분 6
 
4.8%
프로그램(분기별 6
 
4.8%
전통음식체험 4
 
3.2%
Other values (15) 22
17.5%

체험내용
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
-
88 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 88
100.0%

Length

2024-03-14T09:50:20.557325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:50:20.638672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
88
100.0%

보유시설
Text

Distinct67
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-03-14T09:50:20.833046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length32.5
Mean length15.227273
Min length1

Characters and Unicode

Total characters1340
Distinct characters173
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

Unique59 ?
Unique (%)67.0%

Sample

1st row체험장, 수영장
2nd row숙박시설 음식제공 및 즉석식품 제조 시설캠핑장 세미나실
3rd row숙박시설 음식제공 및 즉석식품 제조 시설세미나실 황토방체험관
4th row숙박시설 음식제공 및 즉석식품 제조 시설휴게시설
5th row숙박시설 음식제공 및 즉석식품 제조 시설 체험관
ValueCountFrequency (%)
체험장 15
 
6.7%
체험관 14
 
6.3%
숙박시설 10
 
4.5%
숙박 8
 
3.6%
체험(1)및 7
 
3.1%
마을회관 7
 
3.1%
식당 6
 
2.7%
체험관,숙박관 5
 
2.2%
제조 5
 
2.2%
즉석식품 5
 
2.2%
Other values (91) 141
63.2%
2024-03-14T09:50:21.114060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
10.6%
, 129
 
9.6%
체 81
 
6.0%
관 81
 
6.0%
험 80
 
6.0%
장 54
 
4.0%
박 31
 
2.3%
숙 29
 
2.2%
( 28
 
2.1%
) 28
 
2.1%
Other values (163) 657
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 989
73.8%
Space Separator 142
 
10.6%
Other Punctuation 129
 
9.6%
Open Punctuation 28
 
2.1%
Close Punctuation 28
 
2.1%
Decimal Number 23
 
1.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 81
 
8.2%
관 81
 
8.2%
험 80
 
8.1%
장 54
 
5.5%
박 31
 
3.1%
숙 29
 
2.9%
식 23
 
2.3%
마 22
 
2.2%
시 22
 
2.2%
설 21
 
2.1%
Other values (152) 545
55.1%
Decimal Number
ValueCountFrequency (%)
1 8
34.8%
2 5
21.7%
3 3
 
13.0%
4 3
 
13.0%
5 3
 
13.0%
0 1
 
4.3%
Space Separator
ValueCountFrequency (%)
142
100.0%
Other Punctuation
ValueCountFrequency (%)
, 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 989
73.8%
Common 351
 
26.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 81
 
8.2%
관 81
 
8.2%
험 80
 
8.1%
장 54
 
5.5%
박 31
 
3.1%
숙 29
 
2.9%
식 23
 
2.3%
마 22
 
2.2%
시 22
 
2.2%
설 21
 
2.1%
Other values (152) 545
55.1%
Common
ValueCountFrequency (%)
142
40.5%
, 129
36.8%
( 28
 
8.0%
) 28
 
8.0%
1 8
 
2.3%
2 5
 
1.4%
3 3
 
0.9%
4 3
 
0.9%
5 3
 
0.9%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 989
73.8%
ASCII 351
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
40.5%
, 129
36.8%
( 28
 
8.0%
) 28
 
8.0%
1 8
 
2.3%
2 5
 
1.4%
3 3
 
0.9%
4 3
 
0.9%
5 3
 
0.9%
0 1
 
0.3%
Hangul
ValueCountFrequency (%)
체 81
 
8.2%
관 81
 
8.2%
험 80
 
8.1%
장 54
 
5.5%
박 31
 
3.1%
숙 29
 
2.9%
식 23
 
2.3%
마 22
 
2.2%
시 22
 
2.2%
설 21
 
2.1%
Other values (152) 545
55.1%

마을면적
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67907.42
Minimum0
Maximum2000000
Zeros20
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-03-14T09:50:21.255558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median237
Q3784.5
95-th percentile200000
Maximum2000000
Range2000000
Interquartile range (IQR)783.5

Descriptive statistics

Standard deviation317280.04
Coefficient of variation (CV)4.672244
Kurtosis28.116134
Mean67907.42
Median Absolute Deviation (MAD)237
Skewness5.2908314
Sum5975853
Variance1.0066662 × 1011
MonotonicityNot monotonic
2024-03-14T09:50:21.370701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
22.7%
1 4
 
4.5%
200000 2
 
2.3%
10 2
 
2.3%
330 2
 
2.3%
1261 2
 
2.3%
8 2
 
2.3%
5556 1
 
1.1%
1995 1
 
1.1%
526 1
 
1.1%
Other values (51) 51
58.0%
ValueCountFrequency (%)
0 20
22.7%
1 4
 
4.5%
2 1
 
1.1%
4 1
 
1.1%
8 2
 
2.3%
9 1
 
1.1%
10 2
 
2.3%
11 1
 
1.1%
12 1
 
1.1%
18 1
 
1.1%
ValueCountFrequency (%)
2000000 1
1.1%
1850000 1
1.1%
1200000 1
1.1%
470000 1
1.1%
200000 2
2.3%
18024 1
1.1%
5556 1
1.1%
3563 1
1.1%
2242 1
1.1%
1995 1
1.1%

도로명주소
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-03-14T09:50:21.611177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length15.693182
Min length12

Characters and Unicode

Total characters1381
Distinct characters157
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row전주시 완산구 학전길 43
2nd row익산시 성당면 성당로 762
3rd row익산시 웅포면 강변로 284
4th row익산시 성당면 두동길 88
5th row익산시 삼기면 검지1길 13
ValueCountFrequency (%)
남원시 14
 
4.0%
진안군 11
 
3.1%
임실군 10
 
2.9%
무주군 10
 
2.9%
김제시 8
 
2.3%
완주군 7
 
2.0%
부안군 7
 
2.0%
장수군 6
 
1.7%
익산시 5
 
1.4%
군산시 4
 
1.1%
Other values (228) 268
76.6%
2024-03-14T09:50:22.017716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
19.0%
면 75
 
5.4%
군 58
 
4.2%
길 57
 
4.1%
1 49
 
3.5%
2 41
 
3.0%
시 36
 
2.6%
3 31
 
2.2%
로 31
 
2.2%
안 30
 
2.2%
Other values (147) 711
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 827
59.9%
Space Separator 262
 
19.0%
Decimal Number 261
 
18.9%
Dash Punctuation 29
 
2.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 75
 
9.1%
군 58
 
7.0%
길 57
 
6.9%
시 36
 
4.4%
로 31
 
3.7%
안 30
 
3.6%
산 25
 
3.0%
주 20
 
2.4%
원 19
 
2.3%
진 18
 
2.2%
Other values (133) 458
55.4%
Decimal Number
ValueCountFrequency (%)
1 49
18.8%
2 41
15.7%
3 31
11.9%
4 29
11.1%
5 25
9.6%
6 21
8.0%
8 19
 
7.3%
7 16
 
6.1%
9 16
 
6.1%
0 14
 
5.4%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 827
59.9%
Common 554
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 75
 
9.1%
군 58
 
7.0%
길 57
 
6.9%
시 36
 
4.4%
로 31
 
3.7%
안 30
 
3.6%
산 25
 
3.0%
주 20
 
2.4%
원 19
 
2.3%
진 18
 
2.2%
Other values (133) 458
55.4%
Common
ValueCountFrequency (%)
262
47.3%
1 49
 
8.8%
2 41
 
7.4%
3 31
 
5.6%
4 29
 
5.2%
- 29
 
5.2%
5 25
 
4.5%
6 21
 
3.8%
8 19
 
3.4%
7 16
 
2.9%
Other values (4) 32
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 827
59.9%
ASCII 554
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
47.3%
1 49
 
8.8%
2 41
 
7.4%
3 31
 
5.6%
4 29
 
5.2%
- 29
 
5.2%
5 25
 
4.5%
6 21
 
3.8%
8 19
 
3.4%
7 16
 
2.9%
Other values (4) 32
 
5.8%
Hangul
ValueCountFrequency (%)
면 75
 
9.1%
군 58
 
7.0%
길 57
 
6.9%
시 36
 
4.4%
로 31
 
3.7%
안 30
 
3.6%
산 25
 
3.0%
주 20
 
2.4%
원 19
 
2.3%
진 18
 
2.2%
Other values (133) 458
55.4%

대표자성명
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-03-14T09:50:22.254991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9772727
Min length1

Characters and Unicode

Total characters262
Distinct characters96
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

Unique88 ?
Unique (%)100.0%

Sample

1st row김종록
2nd row안상일
3rd row이희광
4th row박귀열
5th row박중근
ValueCountFrequency (%)
김종록 1
 
1.1%
안상일 1
 
1.1%
박영만 1
 
1.1%
송일락 1
 
1.1%
최인호 1
 
1.1%
정인석 1
 
1.1%
방세혁 1
 
1.1%
박동호 1
 
1.1%
신일섭 1
 
1.1%
최경용 1
 
1.1%
Other values (78) 78
88.6%
2024-03-14T09:50:22.597681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 15
 
5.7%
박 12
 
4.6%
영 10
 
3.8%
이 9
 
3.4%
진 7
 
2.7%
신 7
 
2.7%
임 6
 
2.3%
유 6
 
2.3%
최 6
 
2.3%
용 6
 
2.3%
Other values (86) 178
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 15
 
5.7%
박 12
 
4.6%
영 10
 
3.8%
이 9
 
3.4%
진 7
 
2.7%
신 7
 
2.7%
임 6
 
2.3%
유 6
 
2.3%
최 6
 
2.3%
용 6
 
2.3%
Other values (85) 177
67.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 15
 
5.7%
박 12
 
4.6%
영 10
 
3.8%
이 9
 
3.4%
진 7
 
2.7%
신 7
 
2.7%
임 6
 
2.3%
유 6
 
2.3%
최 6
 
2.3%
용 6
 
2.3%
Other values (85) 177
67.8%
Common
ValueCountFrequency (%)
- 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 15
 
5.7%
박 12
 
4.6%
영 10
 
3.8%
이 9
 
3.4%
진 7
 
2.7%
신 7
 
2.7%
임 6
 
2.3%
유 6
 
2.3%
최 6
 
2.3%
용 6
 
2.3%
Other values (85) 177
67.8%
ASCII
ValueCountFrequency (%)
- 1
100.0%

전화번호
Text

Distinct70
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-03-14T09:50:22.772385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.7840909
Min length1

Characters and Unicode

Total characters861
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

Unique68 ?
Unique (%)77.3%

Sample

1st row063-221-4161
2nd row063-862-3918
3rd row070-4123-6627
4th row063-862-8600
5th row063-862-8600
ValueCountFrequency (%)
18
 
20.5%
063-862-8600 2
 
2.3%
070-4112-9634 1
 
1.1%
063-644-1331 1
 
1.1%
063-644-8821 1
 
1.1%
070-7755-4033 1
 
1.1%
063-643-3700 1
 
1.1%
063-644-8103 1
 
1.1%
063-453-6186 1
 
1.1%
063-640-2611 1
 
1.1%
Other values (60) 60
68.2%
2024-03-14T09:50:23.147617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 158
18.4%
3 144
16.7%
0 124
14.4%
6 121
14.1%
2 65
7.5%
5 58
 
6.7%
4 55
 
6.4%
1 43
 
5.0%
8 36
 
4.2%
7 33
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 703
81.6%
Dash Punctuation 158
 
18.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 144
20.5%
0 124
17.6%
6 121
17.2%
2 65
9.2%
5 58
8.3%
4 55
 
7.8%
1 43
 
6.1%
8 36
 
5.1%
7 33
 
4.7%
9 24
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 861
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 158
18.4%
3 144
16.7%
0 124
14.4%
6 121
14.1%
2 65
7.5%
5 58
 
6.7%
4 55
 
6.4%
1 43
 
5.0%
8 36
 
4.2%
7 33
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 158
18.4%
3 144
16.7%
0 124
14.4%
6 121
14.1%
2 65
7.5%
5 58
 
6.7%
4 55
 
6.4%
1 43
 
5.0%
8 36
 
4.2%
7 33
 
3.8%

지정일자
Date

Distinct75
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2007-01-25 00:00:00
Maximum2015-06-19 00:00:00
2024-03-14T09:50:23.272176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:23.601718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

홈페이지
Text

Distinct59
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-03-14T09:50:23.751263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length15.068182
Min length1

Characters and Unicode

Total characters1326
Distinct characters53
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)65.9%

Sample

1st row-
2nd rowhttp://sungdang.go2vil.org
3rd rowhttp://www.ungpo.net
4th rowhttp://dd.invil.org
5th row-
ValueCountFrequency (%)
30
34.1%
http://happyvill.net 1
 
1.1%
http://60gogae.com 1
 
1.1%
www.kosandm.co.kr 1
 
1.1%
www.고창질마재.com 1
 
1.1%
http://www.woo-dong.co.kr 1
 
1.1%
http://lovegam.oranc.org/cart 1
 
1.1%
http://www.kyehwado.com 1
 
1.1%
http://unho.invil.org 1
 
1.1%
http://hc.invil.org 1
 
1.1%
Other values (49) 49
55.7%
2024-03-14T09:50:24.049336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 115
 
8.7%
t 112
 
8.4%
/ 109
 
8.2%
o 94
 
7.1%
w 86
 
6.5%
h 69
 
5.2%
n 62
 
4.7%
p 59
 
4.4%
i 52
 
3.9%
g 48
 
3.6%
Other values (43) 520
39.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 991
74.7%
Other Punctuation 270
 
20.4%
Dash Punctuation 32
 
2.4%
Other Letter 26
 
2.0%
Decimal Number 7
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 112
 
11.3%
o 94
 
9.5%
w 86
 
8.7%
h 69
 
7.0%
n 62
 
6.3%
p 59
 
6.0%
i 52
 
5.2%
g 48
 
4.8%
m 45
 
4.5%
l 45
 
4.5%
Other values (14) 319
32.2%
Other Letter
ValueCountFrequency (%)
마 3
 
11.5%
을 2
 
7.7%
천 2
 
7.7%
애 1
 
3.8%
경 1
 
3.8%
재 1
 
3.8%
질 1
 
3.8%
인 1
 
3.8%
창 1
 
3.8%
내 1
 
3.8%
Other values (12) 12
46.2%
Other Punctuation
ValueCountFrequency (%)
. 115
42.6%
/ 109
40.4%
: 46
 
17.0%
Decimal Number
ValueCountFrequency (%)
2 5
71.4%
6 1
 
14.3%
0 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 991
74.7%
Common 309
 
23.3%
Hangul 26
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 112
 
11.3%
o 94
 
9.5%
w 86
 
8.7%
h 69
 
7.0%
n 62
 
6.3%
p 59
 
6.0%
i 52
 
5.2%
g 48
 
4.8%
m 45
 
4.5%
l 45
 
4.5%
Other values (14) 319
32.2%
Hangul
ValueCountFrequency (%)
마 3
 
11.5%
을 2
 
7.7%
천 2
 
7.7%
애 1
 
3.8%
경 1
 
3.8%
재 1
 
3.8%
질 1
 
3.8%
인 1
 
3.8%
창 1
 
3.8%
내 1
 
3.8%
Other values (12) 12
46.2%
Common
ValueCountFrequency (%)
. 115
37.2%
/ 109
35.3%
: 46
 
14.9%
- 32
 
10.4%
2 5
 
1.6%
6 1
 
0.3%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1300
98.0%
Hangul 26
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 115
 
8.8%
t 112
 
8.6%
/ 109
 
8.4%
o 94
 
7.2%
w 86
 
6.6%
h 69
 
5.3%
n 62
 
4.8%
p 59
 
4.5%
i 52
 
4.0%
g 48
 
3.7%
Other values (21) 494
38.0%
Hangul
ValueCountFrequency (%)
마 3
 
11.5%
을 2
 
7.7%
천 2
 
7.7%
애 1
 
3.8%
경 1
 
3.8%
재 1
 
3.8%
질 1
 
3.8%
인 1
 
3.8%
창 1
 
3.8%
내 1
 
3.8%
Other values (12) 12
46.2%

관리기관명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
남원시청
14 
진안군청
11 
무주군청
10 
임실군청
10 
김제시청
8 
Other values (9)
35 

Length

Max length8
Median length4
Mean length4.0454545
Min length4

Unique

Unique2 ?
Unique (%)2.3%

Sample

1st row전주시청
2nd row익산시청
3rd row익산시청
4th row익산시청
5th row익산시청

Common Values

ValueCountFrequency (%)
남원시청 14
15.9%
진안군청 11
12.5%
무주군청 10
11.4%
임실군청 10
11.4%
김제시청 8
9.1%
부안군청 7
8.0%
완주군청 7
8.0%
장수군청 6
6.8%
익산시청 5
 
5.7%
고창군청 3
 
3.4%
Other values (4) 7
8.0%

Length

2024-03-14T09:50:24.177302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남원시청 14
15.9%
진안군청 11
12.5%
무주군청 10
11.4%
임실군청 10
11.4%
김제시청 8
9.1%
부안군청 7
8.0%
완주군청 7
8.0%
장수군청 6
6.8%
익산시청 5
 
5.7%
고창군청 3
 
3.4%
Other values (4) 7
8.0%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.21616
Minimum126.39499
Maximum127.83977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-03-14T09:50:24.284533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.39499
5-th percentile126.57009
Q1126.96272
median127.28148
Q3127.53933
95-th percentile127.69085
Maximum127.83977
Range1.4447776
Interquartile range (IQR)0.57660584

Descriptive statistics

Standard deviation0.37677023
Coefficient of variation (CV)0.0029616539
Kurtosis-0.74092214
Mean127.21616
Median Absolute Deviation (MAD)0.2860603
Skewness-0.52661973
Sum11195.022
Variance0.1419558
MonotonicityNot monotonic
2024-03-14T09:50:24.405702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.10631756 1
 
1.1%
127.49970758 1
 
1.1%
126.67921566 1
 
1.1%
126.64331324 1
 
1.1%
126.65852158 1
 
1.1%
126.6327569 1
 
1.1%
126.6106986 1
 
1.1%
126.43993173 1
 
1.1%
126.63080309 1
 
1.1%
127.19028382 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
126.394993 1
1.1%
126.39650237 1
1.1%
126.4161063 1
1.1%
126.43993173 1
1.1%
126.56136394 1
1.1%
126.5862919 1
1.1%
126.6106986 1
1.1%
126.63080309 1
1.1%
126.6327569 1
1.1%
126.64331324 1
1.1%
ValueCountFrequency (%)
127.83977059 1
1.1%
127.78490261 1
1.1%
127.71414654 1
1.1%
127.70958179 1
1.1%
127.70077029 1
1.1%
127.67241703 1
1.1%
127.64403347 1
1.1%
127.64352162 1
1.1%
127.63972483 1
1.1%
127.63377708 1
1.1%

위도
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.735982
Minimum35.324141
Maximum36.253779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-03-14T09:50:24.520427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.324141
5-th percentile35.426693
Q135.563116
median35.774864
Q335.861672
95-th percentile36.069056
Maximum36.253779
Range0.9296377
Interquartile range (IQR)0.29855577

Descriptive statistics

Standard deviation0.20838999
Coefficient of variation (CV)0.0058313773
Kurtosis-0.80624
Mean35.735982
Median Absolute Deviation (MAD)0.18011041
Skewness0.13710528
Sum3144.7664
Variance0.04342639
MonotonicityNot monotonic
2024-03-14T09:50:24.626774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.764545995 1
 
1.1%
35.616595796 1
 
1.1%
35.596257254 1
 
1.1%
35.793181347 1
 
1.1%
35.642072386 1
 
1.1%
35.612017796 1
 
1.1%
35.535755862 1
 
1.1%
35.442876041 1
 
1.1%
35.324141236 1
 
1.1%
35.495395209 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
35.324141236 1
1.1%
35.412198558 1
1.1%
35.4173091 1
1.1%
35.421661162 1
1.1%
35.423440671 1
1.1%
35.432732517 1
1.1%
35.442876041 1
1.1%
35.455089998 1
1.1%
35.456796271 1
1.1%
35.457984391 1
1.1%
ValueCountFrequency (%)
36.253778934 1
1.1%
36.130695579 1
1.1%
36.109024958 1
1.1%
36.100897504 1
1.1%
36.087937936 1
1.1%
36.033989682 1
1.1%
36.033021253 1
1.1%
36.030357451 1
1.1%
36.018126204 1
1.1%
36.017109232 1
1.1%

데이터기준
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
2015-09-30
17 
2015-10-21
14 
2015-08-14
11 
2015-09-07
10 
2015-09-10
8 
Other values (8)
28 

Length

Max length10
Median length10
Mean length9.8977273
Min length1

Unique

Unique3 ?
Unique (%)3.4%

Sample

1st row2015-09-30
2nd row2015-08-28
3rd row2015-08-28
4th row2015-08-28
5th row2015-08-28

Common Values

ValueCountFrequency (%)
2015-09-30 17
19.3%
2015-10-21 14
15.9%
2015-08-14 11
12.5%
2015-09-07 10
11.4%
2015-09-10 8
9.1%
2015-10-13 7
8.0%
2015-09-16 6
 
6.8%
2015-08-28 5
 
5.7%
2015-09-01 4
 
4.5%
2015-09-22 3
 
3.4%
Other values (3) 3
 
3.4%

Length

2024-03-14T09:50:24.722508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-09-30 17
19.3%
2015-10-21 14
15.9%
2015-08-14 11
12.5%
2015-09-07 10
11.4%
2015-09-10 8
9.1%
2015-10-13 7
8.0%
2015-09-16 6
 
6.8%
2015-08-28 5
 
5.7%
2015-09-01 4
 
4.5%
2015-09-22 3
 
3.4%
Other values (3) 3
 
3.4%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
농촌활력과
88 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농촌활력과 88
100.0%

Length

2024-03-14T09:50:24.802512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:50:24.876643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농촌활력과 88
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
공개
88 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 88
100.0%

Length

2024-03-14T09:50:24.961154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:50:25.043099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 88
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
2015.1
88 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 88
100.0%

Length

2024-03-14T09:50:25.161219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:50:25.262540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 88
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
1년
88 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 88
100.0%

Length

2024-03-14T09:50:25.353044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:50:25.451970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 88
100.0%

Interactions

2024-03-14T09:50:18.836543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:17.869498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.129075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.472792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.892056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:17.923173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.220177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.573232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.969191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:17.990610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.312969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.701423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:19.060735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.057301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.391299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:50:18.773807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:50:25.511741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명체험마을명체험구분보유시설마을면적도로명주소대표자성명전화번호지정일자홈페이지관리기관명경도위도데이터기준
순번1.0000.9421.0000.9110.8710.3311.0001.0000.7640.9920.5240.9490.8880.7540.924
시군명0.9421.0001.0000.9710.9990.4871.0001.0000.8940.9940.4491.0000.8730.7170.995
체험마을명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
체험구분0.9110.9711.0001.0000.0000.0001.0001.0000.7510.9890.0000.9620.8600.6370.931
보유시설0.8710.9991.0000.0001.0001.0001.0001.0000.9270.9280.9880.9810.9320.8580.931
마을면적0.3310.4871.0000.0001.0001.0001.0001.0000.7760.0001.0000.4710.0000.0000.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자성명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.7640.8941.0000.7510.9270.7761.0001.0001.0000.8960.9870.9330.6590.0000.931
지정일자0.9920.9941.0000.9890.9280.0001.0001.0000.8961.0000.6390.9940.9190.8150.978
홈페이지0.5240.4491.0000.0000.9881.0001.0001.0000.9870.6391.0000.7450.8480.0000.918
관리기관명0.9491.0001.0000.9620.9810.4711.0001.0000.9330.9940.7451.0000.8780.7140.978
경도0.8880.8731.0000.8600.9320.0001.0001.0000.6590.9190.8480.8781.0000.6600.857
위도0.7540.7171.0000.6370.8580.0001.0001.0000.0000.8150.0000.7140.6601.0000.671
데이터기준0.9240.9951.0000.9310.9310.0001.0001.0000.9310.9780.9180.9780.8570.6711.000
2024-03-14T09:50:25.631761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명관리기관명체험구분데이터기준
시군명1.0000.9930.6900.857
관리기관명0.9931.0000.6460.863
체험구분0.6900.6461.0000.553
데이터기준0.8570.8630.5531.000
2024-03-14T09:50:25.711410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번마을면적경도위도시군명체험구분관리기관명데이터기준
순번1.0000.117-0.4820.1120.7690.5290.7710.717
마을면적0.1171.000-0.151-0.1090.2860.0000.2640.000
경도-0.482-0.1511.0000.0200.6000.4400.5950.571
위도0.112-0.1090.0201.0000.3890.2330.3740.346
시군명0.7690.2860.6000.3891.0000.6900.9930.857
체험구분0.5290.0000.4400.2330.6901.0000.6460.553
관리기관명0.7710.2640.5950.3740.9930.6461.0000.863
데이터기준0.7170.0000.5710.3460.8570.5530.8631.000

Missing values

2024-03-14T09:50:19.170922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:50:19.377968image/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

순번시군명체험마을명체험구분체험내용보유시설마을면적도로명주소대표자성명전화번호지정일자홈페이지관리기관명경도위도데이터기준자료출처공개여부작성일갱신주기
01전주시학전마을농작물경작체험, 만들기체험-체험장, 수영장1178전주시 완산구 학전길 43김종록063-221-41612011-11-09-전주시청127.10631835.7645462015-09-30농촌활력과공개2015.11년
12익산시성당포구마을농작물경작체험 전통음식체험 전통문화체험-숙박시설 음식제공 및 즉석식품 제조 시설캠핑장 세미나실11익산시 성당면 성당로 762안상일063-862-39182009-09-10http://sungdang.go2vil.org익산시청126.92150936.1306962015-08-28농촌활력과공개2015.11년
23익산시산들강웅포마을농작물경작체험 전통음식체험만들기체험 레포츠-숙박시설 음식제공 및 즉석식품 제조 시설세미나실 황토방체험관2익산시 웅포면 강변로 284이희광070-4123-66272012-03-02http://www.ungpo.net익산시청126.88426736.0879382015-08-28농촌활력과공개2015.11년
34익산시두동편백마을농작물경작체험 자연생태체험만들기체험-숙박시설 음식제공 및 즉석식품 제조 시설휴게시설1익산시 성당면 두동길 88박귀열063-862-86002011-11-24http://dd.invil.org익산시청126.91812436.1090252015-08-28농촌활력과공개2015.11년
45익산시풀빛향기송정마을만들기체험-숙박시설 음식제공 및 즉석식품 제조 시설 체험관1익산시 삼기면 검지1길 13박중근063-862-86002011-11-21-익산시청126.98864636.033992015-08-28농촌활력과공개2015.11년
56익산시죽청마을농작물경작체험 만들기체험-음식제공 및 즉석식품 제조 시설 체험관1익산시 삼기면 죽청길 46-50임우섭063-841-70082014-05-12-익산시청127.01769936.0330212015-08-28농촌활력과공개2015.11년
67정읍시태산선비권역농촌마을전통문화체험-한옥체험관234정읍시 칠보산로 1507왕순석063-536-77422013-08-27http://www.taesanin.com정읍시청126.98882435.6023142015-09-01농촌활력과공개2015.11년
78정읍시정읍상학마을농작물경작체험-체험장139정읍시 능교신기길 14이민규063-538-30362011-02-14-정읍시청127.02176535.5695162015-09-01농촌활력과공개2015.11년
89남원시원천마을영농문화체험-체험관, 가공장, 숙박시설450남원시 산내면 산내원천길 33김주석063-636-20322010-03-22http://www.jirisanchon.com/main.php남원시청127.61630135.4121992015-10-21농촌활력과공개2015.11년
910남원시추어마을영농문화체험-체험관149남원시 보절면 용동길 28안태원063-632-46402010-11-05http://chueo.go2vil.org/남원시청127.42329335.53172015-10-21농촌활력과공개2015.11년
순번시군명체험마을명체험구분체험내용보유시설마을면적도로명주소대표자성명전화번호지정일자홈페이지관리기관명경도위도데이터기준자료출처공개여부작성일갱신주기
7879완주군완창마을농작물경작체험, 만들기체험-마을정보센터, 첨성대, 마을회관, 두부체험장888완주군 운주면 원완창길 4김기양063-263-01032011-11-16http://wc.invil.org/index.html완주군청127.26709636.1008982015-10-13농촌활력과공개2015.11년
7980김제시남포마을(지평선)만들기체험-남포들녘관(체험관), 두부체험장1167김제시 성덕면 지평선로 124윤병길063-545-43432010-03-29http://nampo.invil.org김제시청126.78845635.8111312015-09-10농촌활력과공개2015.11년
8081김제시수록골마을만들기체험-체험관, 교육농장8김제시 백산면 석정로 237임경진063-546-70702010-08-10http://surokgol.invil.org김제시청126.92948335.8397252015-09-10농촌활력과공개2015.11년
8182김제시산성메마을(당월)만들기체험-체험관, 방문자센터403김제시 금구면 월전4길 16-4경수명063-546-57322012-01-17http://www.ssmvil.com김제시청127.03431735.7761372015-09-10농촌활력과공개2015.11년
8283김제시황토만들기체험-체험관, 고구마체험장792김제시 용지면 용지로 659-8이철용063-545-87502012-03-14www.htvil.com김제시청126.97380135.8599832015-09-10농촌활력과공개2015.11년
8384김제시참터힐(죽절)만들기체험-가공체험관, 양어장8김제시 복죽5길 70-1 (복죽동)조종규063-543-98602012-05-04www.ctmegi.com김제시청126.84866435.8058312015-09-10농촌활력과공개2015.11년
8485김제시사방만들기체험-체험센터, 고구마체험장499김제시 금구면 사방길 110-5노대숙063-547-00872013-07-08http://mother.invil.org김제시청126.98657135.8102622015-09-10농촌활력과공개2015.11년
8586김제시내촌마을만들기체험-체험관, 체험농장596김제시 죽산면 홍산로 328-21박형진063-542-64112014-01-23www.내촌마을.kr김제시청126.84140335.773592015-09-10농촌활력과공개2015.11년
8687김제시광활권역마을만들기체험-체험관(광활화합관)959김제시 광활면 지평선로 638김의철063-543-65552014-07-15www.gwanghwal.net김제시청126.74049935.8357992015-09-10농촌활력과공개2015.11년
8788군산시신시도어촌체험-안내소, 교육장, 체험장240군산시 옥도면 신시도길 83-7김영현063-463-70882011-05-18http://sinsido.seantour.com군산시청126.39499335.809925-농촌활력과공개2015.11년