Overview

Dataset statistics

Number of variables20
Number of observations229
Missing cells503
Missing cells (%)11.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.6 KiB
Average record size in memory163.6 B

Variable types

Text10
Categorical5
Numeric3
DateTime2

Alerts

관리기관전화번호 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
관리기관명 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
위도 is highly overall correlated with 관리기관전화번호 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 관리기관전화번호 and 2 other fieldsHigh correlation
마을기업구분 is highly overall correlated with 관리기관전화번호 and 2 other fieldsHigh correlation
마을기업설립연월 has 59 (25.8%) missing valuesMissing
마을기업홈페이지 has 186 (81.2%) missing valuesMissing
마을기업회원수 has 52 (22.7%) missing valuesMissing
상품관련인증정보 has 204 (89.1%) missing valuesMissing
마을기업명 has unique valuesUnique
법인명 has unique valuesUnique
마을기업회원수 has 3 (1.3%) zerosZeros

Reproduction

Analysis started2024-05-03 18:42:21.242923
Analysis finished2024-05-03 18:42:30.401381
Duration9.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을기업명
Text

UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-03T18:42:30.682726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.30131
Min length3

Characters and Unicode

Total characters2130
Distinct characters332
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)100.0%

Sample

1st row아낙네마을영농조합
2nd row㈜물빛자전거세상
3rd row송송골느림보협동조합
4th row시우리생태영농조합
5th row협동상회협동조합
ValueCountFrequency (%)
협동조합 26
 
8.7%
영농조합법인 9
 
3.0%
농업회사법인 8
 
2.7%
사회적협동조합 8
 
2.7%
주식회사 2
 
0.7%
고양시지회 2
 
0.7%
아낙네마을영농조합 1
 
0.3%
참좋은수다 1
 
0.3%
㈜우이당 1
 
0.3%
동주염전영어조합법인 1
 
0.3%
Other values (240) 240
80.3%
2024-05-03T18:42:31.669899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 142
 
6.7%
합 140
 
6.6%
동 125
 
5.9%
협 106
 
5.0%
마 71
 
3.3%
70
 
3.3%
을 63
 
3.0%
농 60
 
2.8%
인 52
 
2.4%
회 50
 
2.3%
Other values (322) 1251
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2019
94.8%
Space Separator 70
 
3.3%
Other Symbol 28
 
1.3%
Uppercase Letter 6
 
0.3%
Close Punctuation 4
 
0.2%
Decimal Number 2
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 142
 
7.0%
합 140
 
6.9%
동 125
 
6.2%
협 106
 
5.3%
마 71
 
3.5%
을 63
 
3.1%
농 60
 
3.0%
인 52
 
2.6%
회 50
 
2.5%
사 45
 
2.2%
Other values (310) 1165
57.7%
Uppercase Letter
ValueCountFrequency (%)
Y 1
16.7%
W 1
16.7%
C 1
16.7%
A 1
16.7%
E 1
16.7%
M 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2047
96.1%
Common 77
 
3.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 142
 
6.9%
합 140
 
6.8%
동 125
 
6.1%
협 106
 
5.2%
마 71
 
3.5%
을 63
 
3.1%
농 60
 
2.9%
인 52
 
2.5%
회 50
 
2.4%
사 45
 
2.2%
Other values (311) 1193
58.3%
Latin
ValueCountFrequency (%)
Y 1
16.7%
W 1
16.7%
C 1
16.7%
A 1
16.7%
E 1
16.7%
M 1
16.7%
Common
ValueCountFrequency (%)
70
90.9%
) 4
 
5.2%
2 1
 
1.3%
( 1
 
1.3%
1 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2019
94.8%
ASCII 83
 
3.9%
None 28
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 142
 
7.0%
합 140
 
6.9%
동 125
 
6.2%
협 106
 
5.3%
마 71
 
3.5%
을 63
 
3.1%
농 60
 
3.0%
인 52
 
2.6%
회 50
 
2.5%
사 45
 
2.2%
Other values (310) 1165
57.7%
ASCII
ValueCountFrequency (%)
70
84.3%
) 4
 
4.8%
2 1
 
1.2%
( 1
 
1.2%
Y 1
 
1.2%
W 1
 
1.2%
C 1
 
1.2%
A 1
 
1.2%
E 1
 
1.2%
M 1
 
1.2%
None
ValueCountFrequency (%)
㈜ 28
100.0%

마을기업구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
자립형
86 
기타
80 
신규
45 
2차연도
18 

Length

Max length4
Median length2
Mean length2.5327511
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자립형 86
37.6%
기타 80
34.9%
신규 45
19.7%
2차연도 18
 
7.9%

Length

2024-05-03T18:42:32.182640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T18:42:32.536994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자립형 86
37.6%
기타 80
34.9%
신규 45
19.7%
2차연도 18
 
7.9%

법인명
Text

UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-03T18:42:32.978313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length10.030568
Min length3

Characters and Unicode

Total characters2297
Distinct characters327
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)100.0%

Sample

1st row아낙네마을영농조합
2nd row㈜물빛자전거세상
3rd row송송골느림보협동조합
4th row시우리생태영농조합
5th row협동상회협동조합
ValueCountFrequency (%)
협동조합 25
 
8.1%
농업회사법인 14
 
4.5%
영농조합법인 11
 
3.5%
사회적협동조합 8
 
2.6%
주식회사 7
 
2.3%
고양시지회 2
 
0.6%
아낙네마을영농조합 1
 
0.3%
참좋은수다 1
 
0.3%
사)경기도장애인복지회 1
 
0.3%
칠보산마을 1
 
0.3%
Other values (239) 239
77.1%
2024-05-03T18:42:34.137509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 158
 
6.9%
합 157
 
6.8%
동 132
 
5.7%
협 111
 
4.8%
82
 
3.6%
농 77
 
3.4%
인 69
 
3.0%
마 67
 
2.9%
회 65
 
2.8%
사 60
 
2.6%
Other values (317) 1319
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2160
94.0%
Space Separator 82
 
3.6%
Other Symbol 33
 
1.4%
Close Punctuation 9
 
0.4%
Uppercase Letter 6
 
0.3%
Open Punctuation 5
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 158
 
7.3%
합 157
 
7.3%
동 132
 
6.1%
협 111
 
5.1%
농 77
 
3.6%
인 69
 
3.2%
마 67
 
3.1%
회 65
 
3.0%
사 60
 
2.8%
법 58
 
2.7%
Other values (305) 1206
55.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
16.7%
E 1
16.7%
A 1
16.7%
C 1
16.7%
W 1
16.7%
Y 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
82
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2193
95.5%
Common 98
 
4.3%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 158
 
7.2%
합 157
 
7.2%
동 132
 
6.0%
협 111
 
5.1%
농 77
 
3.5%
인 69
 
3.1%
마 67
 
3.1%
회 65
 
3.0%
사 60
 
2.7%
법 58
 
2.6%
Other values (306) 1239
56.5%
Latin
ValueCountFrequency (%)
M 1
16.7%
E 1
16.7%
A 1
16.7%
C 1
16.7%
W 1
16.7%
Y 1
16.7%
Common
ValueCountFrequency (%)
82
83.7%
) 9
 
9.2%
( 5
 
5.1%
2 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2160
94.0%
ASCII 104
 
4.5%
None 33
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 158
 
7.3%
합 157
 
7.3%
동 132
 
6.1%
협 111
 
5.1%
농 77
 
3.6%
인 69
 
3.2%
마 67
 
3.1%
회 65
 
3.0%
사 60
 
2.8%
법 58
 
2.7%
Other values (305) 1206
55.8%
ASCII
ValueCountFrequency (%)
82
78.8%
) 9
 
8.7%
( 5
 
4.8%
2 1
 
1.0%
1 1
 
1.0%
M 1
 
1.0%
E 1
 
1.0%
A 1
 
1.0%
C 1
 
1.0%
W 1
 
1.0%
None
ValueCountFrequency (%)
㈜ 33
100.0%

법인형태구분
Categorical

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
협동조합
110 
영농조합
48 
주식회사
45 
기타
18 
사단법인
 
8

Length

Max length4
Median length4
Mean length3.8427948
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영농조합
2nd row주식회사
3rd row협동조합
4th row영농조합
5th row협동조합

Common Values

ValueCountFrequency (%)
협동조합 110
48.0%
영농조합 48
21.0%
주식회사 45
19.7%
기타 18
 
7.9%
사단법인 8
 
3.5%

Length

2024-05-03T18:42:34.503623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T18:42:34.826860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
협동조합 110
48.0%
영농조합 48
21.0%
주식회사 45
19.7%
기타 18
 
7.9%
사단법인 8
 
3.5%

소재지도로명주소
Text

Distinct227
Distinct (%)99.6%
Missing1
Missing (%)0.4%
Memory size1.9 KiB
2024-05-03T18:42:35.462933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length21.254386
Min length14

Characters and Unicode

Total characters4846
Distinct characters231
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

Unique226 ?
Unique (%)99.1%

Sample

1st row경기도 남양주시 조안면 북한강로113번안길 2
2nd row경기도 남양주시 조안면 다산로 573
3rd row경기도 남양주시 조안면 한음길 4
4th row경기도 남양주시 조안면 고래산로 413-24
5th row경기도 남양주시 덕송3로 27
ValueCountFrequency (%)
경기도 228
 
20.1%
여주시 16
 
1.4%
양평군 15
 
1.3%
파주시 13
 
1.1%
포천시 12
 
1.1%
안산시 12
 
1.1%
오산시 11
 
1.0%
수원시 11
 
1.0%
광주시 11
 
1.0%
고양시 9
 
0.8%
Other values (543) 795
70.2%
2024-05-03T18:42:36.607521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
905
 
18.7%
경 236
 
4.9%
기 235
 
4.8%
도 229
 
4.7%
시 207
 
4.3%
1 189
 
3.9%
로 177
 
3.7%
2 141
 
2.9%
길 122
 
2.5%
3 104
 
2.1%
Other values (221) 2301
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2946
60.8%
Space Separator 905
 
18.7%
Decimal Number 885
 
18.3%
Dash Punctuation 62
 
1.3%
Other Punctuation 28
 
0.6%
Close Punctuation 9
 
0.2%
Open Punctuation 9
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 236
 
8.0%
기 235
 
8.0%
도 229
 
7.8%
시 207
 
7.0%
로 177
 
6.0%
길 122
 
4.1%
면 94
 
3.2%
번 69
 
2.3%
구 66
 
2.2%
양 62
 
2.1%
Other values (205) 1449
49.2%
Decimal Number
ValueCountFrequency (%)
1 189
21.4%
2 141
15.9%
3 104
11.8%
0 78
8.8%
6 75
 
8.5%
5 71
 
8.0%
4 68
 
7.7%
9 56
 
6.3%
7 53
 
6.0%
8 50
 
5.6%
Space Separator
ValueCountFrequency (%)
905
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2946
60.8%
Common 1898
39.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 236
 
8.0%
기 235
 
8.0%
도 229
 
7.8%
시 207
 
7.0%
로 177
 
6.0%
길 122
 
4.1%
면 94
 
3.2%
번 69
 
2.3%
구 66
 
2.2%
양 62
 
2.1%
Other values (205) 1449
49.2%
Common
ValueCountFrequency (%)
905
47.7%
1 189
 
10.0%
2 141
 
7.4%
3 104
 
5.5%
0 78
 
4.1%
6 75
 
4.0%
5 71
 
3.7%
4 68
 
3.6%
- 62
 
3.3%
9 56
 
3.0%
Other values (5) 149
 
7.9%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2946
60.8%
ASCII 1900
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
905
47.6%
1 189
 
9.9%
2 141
 
7.4%
3 104
 
5.5%
0 78
 
4.1%
6 75
 
3.9%
5 71
 
3.7%
4 68
 
3.6%
- 62
 
3.3%
9 56
 
2.9%
Other values (6) 151
 
7.9%
Hangul
ValueCountFrequency (%)
경 236
 
8.0%
기 235
 
8.0%
도 229
 
7.8%
시 207
 
7.0%
로 177
 
6.0%
길 122
 
4.1%
면 94
 
3.2%
번 69
 
2.3%
구 66
 
2.2%
양 62
 
2.1%
Other values (205) 1449
49.2%

소재지지번주소
Text

Distinct227
Distinct (%)99.6%
Missing1
Missing (%)0.4%
Memory size1.9 KiB
2024-05-03T18:42:38.023250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length21.381579
Min length14

Characters and Unicode

Total characters4875
Distinct characters215
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

Unique226 ?
Unique (%)99.1%

Sample

1st row경기도 남양주시 조안면 조안리 537-2번지
2nd row경기도 남양주시 조안면 능내리 135-1번지
3rd row경기도 남양주시 조안면 송촌리 663번지
4th row경기도 남양주시 조안면 시우리 224번지
5th row경기도 남양주시 별내동 805
ValueCountFrequency (%)
경기도 228
 
20.1%
여주시 16
 
1.4%
양평군 15
 
1.3%
파주시 13
 
1.1%
광주시 12
 
1.1%
안산시 12
 
1.1%
포천시 12
 
1.1%
오산시 11
 
1.0%
수원시 10
 
0.9%
화성시 9
 
0.8%
Other values (563) 795
70.2%
2024-05-03T18:42:40.325540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
905
 
18.6%
도 232
 
4.8%
기 231
 
4.7%
경 230
 
4.7%
시 205
 
4.2%
1 182
 
3.7%
- 164
 
3.4%
2 142
 
2.9%
동 140
 
2.9%
리 122
 
2.5%
Other values (205) 2322
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2865
58.8%
Decimal Number 932
 
19.1%
Space Separator 905
 
18.6%
Dash Punctuation 164
 
3.4%
Other Punctuation 5
 
0.1%
Uppercase Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 232
 
8.1%
기 231
 
8.1%
경 230
 
8.0%
시 205
 
7.2%
동 140
 
4.9%
리 122
 
4.3%
면 96
 
3.4%
지 80
 
2.8%
번 69
 
2.4%
산 65
 
2.3%
Other values (188) 1395
48.7%
Decimal Number
ValueCountFrequency (%)
1 182
19.5%
2 142
15.2%
3 100
10.7%
5 87
9.3%
4 83
8.9%
7 75
8.0%
8 73
7.8%
0 67
 
7.2%
9 63
 
6.8%
6 60
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
905
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2865
58.8%
Common 2008
41.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 232
 
8.1%
기 231
 
8.1%
경 230
 
8.0%
시 205
 
7.2%
동 140
 
4.9%
리 122
 
4.3%
면 96
 
3.4%
지 80
 
2.8%
번 69
 
2.4%
산 65
 
2.3%
Other values (188) 1395
48.7%
Common
ValueCountFrequency (%)
905
45.1%
1 182
 
9.1%
- 164
 
8.2%
2 142
 
7.1%
3 100
 
5.0%
5 87
 
4.3%
4 83
 
4.1%
7 75
 
3.7%
8 73
 
3.6%
0 67
 
3.3%
Other values (5) 130
 
6.5%
Latin
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2865
58.8%
ASCII 2010
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
905
45.0%
1 182
 
9.1%
- 164
 
8.2%
2 142
 
7.1%
3 100
 
5.0%
5 87
 
4.3%
4 83
 
4.1%
7 75
 
3.7%
8 73
 
3.6%
0 67
 
3.3%
Other values (7) 132
 
6.6%
Hangul
ValueCountFrequency (%)
도 232
 
8.1%
기 231
 
8.1%
경 230
 
8.0%
시 205
 
7.2%
동 140
 
4.9%
리 122
 
4.3%
면 96
 
3.4%
지 80
 
2.8%
번 69
 
2.4%
산 65
 
2.3%
Other values (188) 1395
48.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct228
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.496864
Minimum36.964589
Maximum38.139899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-03T18:42:41.106009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.964589
5-th percentile37.112733
Q137.283001
median37.44548
Q337.700838
95-th percentile38.026679
Maximum38.139899
Range1.17531
Interquartile range (IQR)0.41783668

Descriptive statistics

Standard deviation0.28163659
Coefficient of variation (CV)0.0075109373
Kurtosis-0.63939175
Mean37.496864
Median Absolute Deviation (MAD)0.20649201
Skewness0.38948655
Sum8586.7818
Variance0.07931917
MonotonicityNot monotonic
2024-05-03T18:42:41.581803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.70083778 2
 
0.9%
37.53971025 1
 
0.4%
37.1684767 1
 
0.4%
37.31572067 1
 
0.4%
37.3128525 1
 
0.4%
37.29703541 1
 
0.4%
37.27944686 1
 
0.4%
37.2554704852 1
 
0.4%
37.265612968 1
 
0.4%
37.2948928195 1
 
0.4%
Other values (218) 218
95.2%
ValueCountFrequency (%)
36.9645891437 1
0.4%
36.97361894 1
0.4%
36.98526386 1
0.4%
36.9867575959 1
0.4%
37.0035584889 1
0.4%
37.00878953 1
0.4%
37.0134725365 1
0.4%
37.0260435901 1
0.4%
37.037202264 1
0.4%
37.05725389 1
0.4%
ValueCountFrequency (%)
38.1398991289 1
0.4%
38.1192699 1
0.4%
38.1094439 1
0.4%
38.10336188 1
0.4%
38.0943722363 1
0.4%
38.0738595 1
0.4%
38.06851114 1
0.4%
38.058410607 1
0.4%
38.0324098876 1
0.4%
38.0320885628 1
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct227
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08054
Minimum126.54764
Maximum127.79248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-03T18:42:42.035461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54764
5-th percentile126.63495
Q1126.87214
median127.04083
Q3127.28814
95-th percentile127.61063
Maximum127.79248
Range1.2448363
Interquartile range (IQR)0.4159925

Descriptive statistics

Standard deviation0.28595216
Coefficient of variation (CV)0.0022501649
Kurtosis-0.48605731
Mean127.08054
Median Absolute Deviation (MAD)0.193049
Skewness0.40345314
Sum29101.443
Variance0.081768635
MonotonicityNot monotonic
2024-05-03T18:42:42.502482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6262978 2
 
0.9%
126.9011824 2
 
0.9%
127.2965918 1
 
0.4%
127.063931 1
 
0.4%
126.8635615 1
 
0.4%
126.8392771 1
 
0.4%
126.8603235 1
 
0.4%
126.8477762 1
 
0.4%
127.0380935182 1
 
0.4%
127.0643630114 1
 
0.4%
Other values (217) 217
94.8%
ValueCountFrequency (%)
126.5476447 1
0.4%
126.553118 1
0.4%
126.5683191 1
0.4%
126.5698235 1
0.4%
126.5698325 1
0.4%
126.5829402 1
0.4%
126.5866127 1
0.4%
126.6033348 1
0.4%
126.6253264 1
0.4%
126.6262978 2
0.9%
ValueCountFrequency (%)
127.792481 1
0.4%
127.7473543207 1
0.4%
127.7451286 1
0.4%
127.7391037 1
0.4%
127.7062949 1
0.4%
127.669627108 1
0.4%
127.6389024 1
0.4%
127.6382236435 1
0.4%
127.6368746378 1
0.4%
127.6320058539 1
0.4%

마을기업설립연월
Date

MISSING 

Distinct92
Distinct (%)54.1%
Missing59
Missing (%)25.8%
Memory size1.9 KiB
Minimum2002-10-01 00:00:00
Maximum2023-12-01 00:00:00
2024-05-03T18:42:42.911964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:43.463280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마을기업인증연월
Date

Distinct77
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2010-05-01 00:00:00
Maximum2023-11-01 00:00:00
2024-05-03T18:42:44.150618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:44.538395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마을기업대표자명
Text

Distinct227
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-03T18:42:45.179057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.0349345
Min length2

Characters and Unicode

Total characters695
Distinct characters150
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

Unique225 ?
Unique (%)98.3%

Sample

1st row홍영숙
2nd row양희문
3rd row김은식
4th row신영수
5th row양혜원
ValueCountFrequency (%)
박명분 2
 
0.9%
김영수 2
 
0.9%
김은성 1
 
0.4%
김정대 1
 
0.4%
김미혜 1
 
0.4%
장동숙 1
 
0.4%
백재환 1
 
0.4%
홍영숙 1
 
0.4%
이계선 1
 
0.4%
이계범 1
 
0.4%
Other values (217) 217
94.8%
2024-05-03T18:42:46.252741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 48
 
6.9%
김 45
 
6.5%
정 24
 
3.5%
영 17
 
2.4%
수 17
 
2.4%
경 16
 
2.3%
윤 16
 
2.3%
현 13
 
1.9%
석 13
 
1.9%
숙 13
 
1.9%
Other values (140) 473
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
99.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 48
 
6.9%
김 45
 
6.5%
정 24
 
3.5%
영 17
 
2.4%
수 17
 
2.4%
경 16
 
2.3%
윤 16
 
2.3%
현 13
 
1.9%
석 13
 
1.9%
숙 13
 
1.9%
Other values (139) 472
68.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 48
 
6.9%
김 45
 
6.5%
정 24
 
3.5%
영 17
 
2.4%
수 17
 
2.4%
경 16
 
2.3%
윤 16
 
2.3%
현 13
 
1.9%
석 13
 
1.9%
숙 13
 
1.9%
Other values (139) 472
68.0%
Common
ValueCountFrequency (%)
+ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 48
 
6.9%
김 45
 
6.5%
정 24
 
3.5%
영 17
 
2.4%
수 17
 
2.4%
경 16
 
2.3%
윤 16
 
2.3%
현 13
 
1.9%
석 13
 
1.9%
숙 13
 
1.9%
Other values (139) 472
68.0%
ASCII
ValueCountFrequency (%)
+ 1
100.0%

마을기업대표전화번호
Text

Distinct190
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-03T18:42:46.925090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.196507
Min length9

Characters and Unicode

Total characters2793
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

Unique187 ?
Unique (%)81.7%

Sample

1st row031-576-8420
2nd row031-576-9915
3rd row031-590-8908
4th row031-590-4085
5th row070-7770-2215
ValueCountFrequency (%)
000-0000-0000 27
 
11.8%
000-000-0000 12
 
5.2%
031-000-0000 3
 
1.3%
070-8886-9902 1
 
0.4%
031-907-8161 1
 
0.4%
031-907-2928 1
 
0.4%
031-375-3339 1
 
0.4%
031-415-1225 1
 
0.4%
070-7795-0720 1
 
0.4%
070-8253-5449 1
 
0.4%
Other values (180) 180
78.6%
2024-05-03T18:42:48.082406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 760
27.2%
- 457
16.4%
3 309
11.1%
1 273
 
9.8%
8 189
 
6.8%
7 165
 
5.9%
2 150
 
5.4%
5 142
 
5.1%
6 126
 
4.5%
9 113
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2336
83.6%
Dash Punctuation 457
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 760
32.5%
3 309
13.2%
1 273
 
11.7%
8 189
 
8.1%
7 165
 
7.1%
2 150
 
6.4%
5 142
 
6.1%
6 126
 
5.4%
9 113
 
4.8%
4 109
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 457
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2793
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 760
27.2%
- 457
16.4%
3 309
11.1%
1 273
 
9.8%
8 189
 
6.8%
7 165
 
5.9%
2 150
 
5.4%
5 142
 
5.1%
6 126
 
4.5%
9 113
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2793
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 760
27.2%
- 457
16.4%
3 309
11.1%
1 273
 
9.8%
8 189
 
6.8%
7 165
 
5.9%
2 150
 
5.4%
5 142
 
5.1%
6 126
 
4.5%
9 113
 
4.0%

마을기업홈페이지
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing186
Missing (%)81.2%
Memory size1.9 KiB
2024-05-03T18:42:48.703623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length20.511628
Min length2

Characters and Unicode

Total characters882
Distinct characters54
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

Unique43 ?
Unique (%)100.0%

Sample

1st rowcafe.daum.net/awife
2nd row없음
3rd rowhttp://eun3616.blog.me/
4th rowhttp://siwuri.com/
5th row없음/
ValueCountFrequency (%)
없음 2
 
4.7%
cafe.daum.net/awife 1
 
2.3%
https://cafe.daum.net/indigonara 1
 
2.3%
http://chorok.invil.org 1
 
2.3%
https://welovefarm.modoo.at 1
 
2.3%
https://yctour.modoo.at 1
 
2.3%
http://www.gumiri.com 1
 
2.3%
www.ozhouse.co.kr 1
 
2.3%
www.wue.co.kr 1
 
2.3%
www.natureoil.co.kr 1
 
2.3%
Other values (32) 32
74.4%
2024-05-03T18:42:50.005095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 93
 
10.5%
o 87
 
9.9%
w 71
 
8.0%
t 61
 
6.9%
/ 56
 
6.3%
a 42
 
4.8%
r 38
 
4.3%
m 38
 
4.3%
e 32
 
3.6%
c 31
 
3.5%
Other values (44) 333
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 678
76.9%
Other Punctuation 169
 
19.2%
Other Letter 23
 
2.6%
Decimal Number 11
 
1.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 87
 
12.8%
w 71
 
10.5%
t 61
 
9.0%
a 42
 
6.2%
r 38
 
5.6%
m 38
 
5.6%
e 32
 
4.7%
c 31
 
4.6%
i 29
 
4.3%
h 29
 
4.3%
Other values (15) 220
32.4%
Other Letter
ValueCountFrequency (%)
을 2
 
8.7%
마 2
 
8.7%
음 2
 
8.7%
없 2
 
8.7%
종 1
 
4.3%
현 1
 
4.3%
어 1
 
4.3%
체 1
 
4.3%
촌 1
 
4.3%
천 1
 
4.3%
Other values (9) 9
39.1%
Decimal Number
ValueCountFrequency (%)
2 3
27.3%
0 2
18.2%
1 2
18.2%
6 2
18.2%
7 1
 
9.1%
3 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 93
55.0%
/ 56
33.1%
: 20
 
11.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 678
76.9%
Common 181
 
20.5%
Hangul 23
 
2.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 87
 
12.8%
w 71
 
10.5%
t 61
 
9.0%
a 42
 
6.2%
r 38
 
5.6%
m 38
 
5.6%
e 32
 
4.7%
c 31
 
4.6%
i 29
 
4.3%
h 29
 
4.3%
Other values (15) 220
32.4%
Hangul
ValueCountFrequency (%)
을 2
 
8.7%
마 2
 
8.7%
음 2
 
8.7%
없 2
 
8.7%
종 1
 
4.3%
현 1
 
4.3%
어 1
 
4.3%
체 1
 
4.3%
촌 1
 
4.3%
천 1
 
4.3%
Other values (9) 9
39.1%
Common
ValueCountFrequency (%)
. 93
51.4%
/ 56
30.9%
: 20
 
11.0%
2 3
 
1.7%
0 2
 
1.1%
1 2
 
1.1%
6 2
 
1.1%
- 1
 
0.6%
7 1
 
0.6%
3 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 859
97.4%
Hangul 23
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 93
 
10.8%
o 87
 
10.1%
w 71
 
8.3%
t 61
 
7.1%
/ 56
 
6.5%
a 42
 
4.9%
r 38
 
4.4%
m 38
 
4.4%
e 32
 
3.7%
c 31
 
3.6%
Other values (25) 310
36.1%
Hangul
ValueCountFrequency (%)
을 2
 
8.7%
마 2
 
8.7%
음 2
 
8.7%
없 2
 
8.7%
종 1
 
4.3%
현 1
 
4.3%
어 1
 
4.3%
체 1
 
4.3%
촌 1
 
4.3%
천 1
 
4.3%
Other values (9) 9
39.1%

마을기업회원수
Real number (ℝ)

MISSING  ZEROS 

Distinct55
Distinct (%)31.1%
Missing52
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean23.988701
Minimum0
Maximum435
Zeros3
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-03T18:42:50.779867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median10
Q322
95-th percentile101.2
Maximum435
Range435
Interquartile range (IQR)15

Descriptive statistics

Standard deviation45.636158
Coefficient of variation (CV)1.9024023
Kurtosis44.493253
Mean23.988701
Median Absolute Deviation (MAD)5
Skewness5.9116294
Sum4246
Variance2082.659
MonotonicityNot monotonic
2024-05-03T18:42:51.371597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 24
 
10.5%
5 22
 
9.6%
6 14
 
6.1%
7 11
 
4.8%
9 8
 
3.5%
8 7
 
3.1%
12 6
 
2.6%
14 5
 
2.2%
13 4
 
1.7%
23 4
 
1.7%
Other values (45) 72
31.4%
(Missing) 52
22.7%
ValueCountFrequency (%)
0 3
 
1.3%
1 2
 
0.9%
2 1
 
0.4%
3 2
 
0.9%
5 22
9.6%
6 14
6.1%
7 11
4.8%
8 7
 
3.1%
9 8
 
3.5%
10 24
10.5%
ValueCountFrequency (%)
435 1
0.4%
300 1
0.4%
130 1
0.4%
129 1
0.4%
122 1
0.4%
120 1
0.4%
119 2
0.9%
106 1
0.4%
100 1
0.4%
98 1
0.4%

마을기업목적사업
Text

Distinct190
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-03T18:42:52.063096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length43
Mean length14.179039
Min length2

Characters and Unicode

Total characters3247
Distinct characters337
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)75.5%

Sample

1st row재래식 장류 및 친환경 먹거리 생산 판매+ 체험
2nd row카페/매점/자전거 수리 및 대여 사업
3rd row전통혼례 및 민속놀이 체험+ 장류 생산 판매
4th row친환경 농산물 생산판매 + 농촌체험 프로그램 운영
5th row로컬푸드마켓운영
ValueCountFrequency (%)
및 52
 
6.8%
판매 33
 
4.3%
농산물 17
 
2.2%
제조 17
 
2.2%
가공 14
 
1.8%
운영 13
 
1.7%
사업 11
 
1.4%
생산 10
 
1.3%
등 9
 
1.2%
친환경 9
 
1.2%
Other values (432) 585
76.0%
2024-05-03T18:42:53.287585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
541
 
16.7%
업 76
 
2.3%
제 67
 
2.1%
매 65
 
2.0%
판 63
 
1.9%
농 61
 
1.9%
산 61
 
1.9%
공 60
 
1.8%
사 54
 
1.7%
및 53
 
1.6%
Other values (327) 2146
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2599
80.0%
Space Separator 541
 
16.7%
Other Punctuation 53
 
1.6%
Math Symbol 36
 
1.1%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 76
 
2.9%
제 67
 
2.6%
매 65
 
2.5%
판 63
 
2.4%
농 61
 
2.3%
산 61
 
2.3%
공 60
 
2.3%
사 54
 
2.1%
및 53
 
2.0%
체 52
 
2.0%
Other values (318) 1987
76.5%
Other Punctuation
ValueCountFrequency (%)
, 45
84.9%
· 6
 
11.3%
/ 2
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Space Separator
ValueCountFrequency (%)
541
100.0%
Math Symbol
ValueCountFrequency (%)
+ 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2599
80.0%
Common 646
 
19.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 76
 
2.9%
제 67
 
2.6%
매 65
 
2.5%
판 63
 
2.4%
농 61
 
2.3%
산 61
 
2.3%
공 60
 
2.3%
사 54
 
2.1%
및 53
 
2.0%
체 52
 
2.0%
Other values (318) 1987
76.5%
Common
ValueCountFrequency (%)
541
83.7%
, 45
 
7.0%
+ 36
 
5.6%
) 8
 
1.2%
( 8
 
1.2%
· 6
 
0.9%
/ 2
 
0.3%
Latin
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2598
80.0%
ASCII 642
 
19.8%
None 6
 
0.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
541
84.3%
, 45
 
7.0%
+ 36
 
5.6%
) 8
 
1.2%
( 8
 
1.2%
/ 2
 
0.3%
M 1
 
0.2%
E 1
 
0.2%
Hangul
ValueCountFrequency (%)
업 76
 
2.9%
제 67
 
2.6%
매 65
 
2.5%
판 63
 
2.4%
농 61
 
2.3%
산 61
 
2.3%
공 60
 
2.3%
사 54
 
2.1%
및 53
 
2.0%
체 52
 
2.0%
Other values (317) 1986
76.4%
None
ValueCountFrequency (%)
· 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

마을기업주요상품
Text

Distinct219
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-03T18:42:53.975674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length9.4366812
Min length1

Characters and Unicode

Total characters2161
Distinct characters334
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

Unique212 ?
Unique (%)92.6%

Sample

1st row깻순짱아찌 + 된장 + 고추장+ 쌈장 등
2nd row자전거 대여+ 수리+ 매점운영(도시락)
3rd row농촌체험 프로그램(전통혼례)+ 된장+ 쌈장+ 고추장 등
4th row감자 + 절임배추등 친환경 농산물+ 반디체험
5th row상품종합도소매
ValueCountFrequency (%)
판매 19
 
4.4%
농산물 14
 
3.2%
및 14
 
3.2%
등 11
 
2.5%
농촌체험 7
 
1.6%
제조 7
 
1.6%
체험 6
 
1.4%
운영 6
 
1.4%
5
 
1.1%
장류 4
 
0.9%
Other values (311) 342
78.6%
2024-05-03T18:42:54.903722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
 
9.6%
+ 120
 
5.6%
농 49
 
2.3%
, 48
 
2.2%
물 45
 
2.1%
장 44
 
2.0%
체 43
 
2.0%
험 42
 
1.9%
산 41
 
1.9%
매 35
 
1.6%
Other values (324) 1487
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1750
81.0%
Space Separator 207
 
9.6%
Math Symbol 120
 
5.6%
Other Punctuation 49
 
2.3%
Open Punctuation 14
 
0.6%
Close Punctuation 14
 
0.6%
Uppercase Letter 4
 
0.2%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 49
 
2.8%
물 45
 
2.6%
장 44
 
2.5%
체 43
 
2.5%
험 42
 
2.4%
산 41
 
2.3%
매 35
 
2.0%
판 33
 
1.9%
공 32
 
1.8%
품 31
 
1.8%
Other values (313) 1355
77.4%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
3 1
33.3%
5 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 48
98.0%
/ 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
E 2
50.0%
Space Separator
ValueCountFrequency (%)
207
100.0%
Math Symbol
ValueCountFrequency (%)
+ 120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1750
81.0%
Common 407
 
18.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 49
 
2.8%
물 45
 
2.6%
장 44
 
2.5%
체 43
 
2.5%
험 42
 
2.4%
산 41
 
2.3%
매 35
 
2.0%
판 33
 
1.9%
공 32
 
1.8%
품 31
 
1.8%
Other values (313) 1355
77.4%
Common
ValueCountFrequency (%)
207
50.9%
+ 120
29.5%
, 48
 
11.8%
( 14
 
3.4%
) 14
 
3.4%
4 1
 
0.2%
/ 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
Latin
ValueCountFrequency (%)
M 2
50.0%
E 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1750
81.0%
ASCII 411
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
50.4%
+ 120
29.2%
, 48
 
11.7%
( 14
 
3.4%
) 14
 
3.4%
M 2
 
0.5%
E 2
 
0.5%
4 1
 
0.2%
/ 1
 
0.2%
3 1
 
0.2%
Hangul
ValueCountFrequency (%)
농 49
 
2.8%
물 45
 
2.6%
장 44
 
2.5%
체 43
 
2.5%
험 42
 
2.4%
산 41
 
2.3%
매 35
 
2.0%
판 33
 
1.9%
공 32
 
1.8%
품 31
 
1.8%
Other values (313) 1355
77.4%

상품관련인증정보
Text

MISSING 

Distinct15
Distinct (%)60.0%
Missing204
Missing (%)89.1%
Memory size1.9 KiB
2024-05-03T18:42:55.415314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length51
Mean length18.08
Min length4

Characters and Unicode

Total characters452
Distinct characters134
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

Unique12 ?
Unique (%)48.0%

Sample

1st row해당없음
2nd row해당없음
3rd row한과 제조 및 판매+케이터링 서비스
4th rowcoffeTODA+TODA 상표등록
5th row해당없음
ValueCountFrequency (%)
해당없음 8
 
11.4%
인증 3
 
4.3%
농촌융복합사업(6차산업)인증 3
 
4.3%
haccp 3
 
4.3%
3
 
4.3%
상표등록 3
 
4.3%
특허출원 2
 
2.9%
배 2
 
2.9%
등 2
 
2.9%
온라인페어 1
 
1.4%
Other values (40) 40
57.1%
2024-05-03T18:42:56.338837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
10.0%
0 23
 
5.1%
1 14
 
3.1%
, 12
 
2.7%
제 11
 
2.4%
업 9
 
2.0%
2 9
 
2.0%
당 9
 
2.0%
호 9
 
2.0%
등 9
 
2.0%
Other values (124) 302
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
56.4%
Decimal Number 87
 
19.2%
Space Separator 45
 
10.0%
Uppercase Letter 23
 
5.1%
Other Punctuation 17
 
3.8%
Dash Punctuation 8
 
1.8%
Lowercase Letter 5
 
1.1%
Math Symbol 4
 
0.9%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 11
 
4.3%
업 9
 
3.5%
당 9
 
3.5%
호 9
 
3.5%
등 9
 
3.5%
해 8
 
3.1%
음 8
 
3.1%
없 8
 
3.1%
인 7
 
2.7%
증 7
 
2.7%
Other values (95) 170
66.7%
Decimal Number
ValueCountFrequency (%)
0 23
26.4%
1 14
16.1%
2 9
 
10.3%
8 8
 
9.2%
6 7
 
8.0%
4 7
 
8.0%
3 6
 
6.9%
9 5
 
5.7%
5 5
 
5.7%
7 3
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
C 6
26.1%
A 5
21.7%
H 3
13.0%
P 3
13.0%
D 2
 
8.7%
T 2
 
8.7%
O 2
 
8.7%
Lowercase Letter
ValueCountFrequency (%)
f 2
40.0%
c 1
20.0%
o 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 12
70.6%
: 3
 
17.6%
. 2
 
11.8%
Space Separator
ValueCountFrequency (%)
45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 255
56.4%
Common 169
37.4%
Latin 28
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 11
 
4.3%
업 9
 
3.5%
당 9
 
3.5%
호 9
 
3.5%
등 9
 
3.5%
해 8
 
3.1%
음 8
 
3.1%
없 8
 
3.1%
인 7
 
2.7%
증 7
 
2.7%
Other values (95) 170
66.7%
Common
ValueCountFrequency (%)
45
26.6%
0 23
13.6%
1 14
 
8.3%
, 12
 
7.1%
2 9
 
5.3%
- 8
 
4.7%
8 8
 
4.7%
6 7
 
4.1%
4 7
 
4.1%
3 6
 
3.6%
Other values (8) 30
17.8%
Latin
ValueCountFrequency (%)
C 6
21.4%
A 5
17.9%
H 3
10.7%
P 3
10.7%
D 2
 
7.1%
f 2
 
7.1%
T 2
 
7.1%
O 2
 
7.1%
c 1
 
3.6%
o 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
56.4%
ASCII 197
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
22.8%
0 23
 
11.7%
1 14
 
7.1%
, 12
 
6.1%
2 9
 
4.6%
- 8
 
4.1%
8 8
 
4.1%
6 7
 
3.6%
4 7
 
3.6%
3 6
 
3.0%
Other values (19) 58
29.4%
Hangul
ValueCountFrequency (%)
제 11
 
4.3%
업 9
 
3.5%
당 9
 
3.5%
호 9
 
3.5%
등 9
 
3.5%
해 8
 
3.1%
음 8
 
3.1%
없 8
 
3.1%
인 7
 
2.7%
증 7
 
2.7%
Other values (95) 170
66.7%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
031-887-2284
 
16
031-770-2637
 
15
031-538-2285
 
12
031-481-2609
 
12
031-760-2672
 
12
Other values (35)
162 

Length

Max length13
Median length12
Mean length12.209607
Min length12

Unique

Unique11 ?
Unique (%)4.8%

Sample

1st row031-590-4085
2nd row031-590-4085
3rd row031-590-8908
4th row031-590-4085
5th row031-590-4085

Common Values

ValueCountFrequency (%)
031-887-2284 16
 
7.0%
031-770-2637 15
 
6.6%
031-538-2285 12
 
5.2%
031-481-2609 12
 
5.2%
031-760-2672 12
 
5.2%
031-228-3881 11
 
4.8%
031-8036-7585 11
 
4.8%
031-839-2286 9
 
3.9%
031-324-2637 9
 
3.9%
031-8075-3717 9
 
3.9%
Other values (30) 113
49.3%

Length

2024-05-03T18:42:56.780340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-887-2284 16
 
7.0%
031-770-2637 15
 
6.6%
031-538-2285 12
 
5.2%
031-481-2609 12
 
5.2%
031-760-2672 12
 
5.2%
031-228-3881 11
 
4.8%
031-8036-7585 11
 
4.8%
031-5189-6059 9
 
3.9%
031-8075-3717 9
 
3.9%
031-324-2637 9
 
3.9%
Other values (30) 113
49.3%

관리기관명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
경기도 여주시청
 
16
경기도 양평군청
 
15
경기도 파주시청
 
13
경기도 안산시청
 
12
경기도 광주시청
 
12
Other values (26)
161 

Length

Max length16
Median length8
Mean length8.5851528
Min length7

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row경기도 남양주시청
2nd row경기도 남양주시청
3rd row경기도 남양주시청
4th row경기도 남양주시청
5th row경기도 남양주시청

Common Values

ValueCountFrequency (%)
경기도 여주시청 16
 
7.0%
경기도 양평군청 15
 
6.6%
경기도 파주시청 13
 
5.7%
경기도 안산시청 12
 
5.2%
경기도 광주시청 12
 
5.2%
경기도 포천시청 12
 
5.2%
경기도 오산시청 11
 
4.8%
수원특례시청 마을자치과 11
 
4.8%
경기도 고양시청 9
 
3.9%
경기도 화성시청 9
 
3.9%
Other values (21) 109
47.6%

Length

2024-05-03T18:42:57.221688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 218
46.3%
여주시청 16
 
3.4%
양평군청 15
 
3.2%
파주시청 13
 
2.8%
안산시청 12
 
2.5%
광주시청 12
 
2.5%
포천시청 12
 
2.5%
오산시청 11
 
2.3%
수원특례시청 11
 
2.3%
마을자치과 11
 
2.3%
Other values (25) 140
29.7%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-06-15
 
16
2023-05-24
 
15
2023-11-15
 
13
2023-05-10
 
13
2023-11-14
 
12
Other values (25)
160 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row2023-05-19
2nd row2023-05-19
3rd row2023-05-19
4th row2023-05-19
5th row2023-05-19

Common Values

ValueCountFrequency (%)
2023-06-15 16
 
7.0%
2023-05-24 15
 
6.6%
2023-11-15 13
 
5.7%
2023-05-10 13
 
5.7%
2023-11-14 12
 
5.2%
2023-11-27 12
 
5.2%
2023-07-07 12
 
5.2%
2023-11-30 11
 
4.8%
2023-10-23 11
 
4.8%
2023-08-21 9
 
3.9%
Other values (20) 105
45.9%

Length

2024-05-03T18:42:57.717988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-06-15 16
 
7.0%
2023-05-24 15
 
6.6%
2023-11-15 13
 
5.7%
2023-05-10 13
 
5.7%
2023-11-14 12
 
5.2%
2023-11-27 12
 
5.2%
2023-07-07 12
 
5.2%
2023-11-30 11
 
4.8%
2023-10-23 11
 
4.8%
2023-08-21 9
 
3.9%
Other values (20) 105
45.9%

Interactions

2024-05-03T18:42:27.687984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:26.007383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:26.982553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:27.931896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:26.502138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:27.232668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:28.264206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:26.748615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:42:27.507206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T18:42:58.029779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을기업구분법인형태구분위도경도마을기업설립연월마을기업인증연월마을기업홈페이지마을기업회원수상품관련인증정보관리기관전화번호관리기관명데이터기준일자
마을기업구분1.0000.2650.3650.3590.5990.5561.0000.0000.9250.8890.8460.832
법인형태구분0.2651.0000.3270.3440.5060.4311.0000.5330.4610.5670.5820.621
위도0.3650.3271.0000.5270.5980.6331.0000.1440.7600.9740.9560.972
경도0.3590.3440.5271.0000.0000.2991.0000.0000.8350.9290.9080.932
마을기업설립연월0.5990.5060.5980.0001.0000.9801.0000.9220.7260.8880.9410.924
마을기업인증연월0.5560.4310.6330.2990.9801.0001.0000.0000.9750.9240.9380.932
마을기업홈페이지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
마을기업회원수0.0000.5330.1440.0000.9220.0001.0001.0000.0000.1680.4550.511
상품관련인증정보0.9250.4610.7600.8350.7260.9751.0000.0001.0001.0001.0001.000
관리기관전화번호0.8890.5670.9740.9290.8880.9241.0000.1681.0001.0001.0001.000
관리기관명0.8460.5820.9560.9080.9410.9381.0000.4551.0001.0001.0001.000
데이터기준일자0.8320.6210.9720.9320.9240.9321.0000.5111.0001.0001.0001.000
2024-05-03T18:42:58.513675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을기업구분관리기관전화번호관리기관명법인형태구분데이터기준일자
마을기업구분1.0000.5830.5810.2190.563
관리기관전화번호0.5831.0000.9770.2590.975
관리기관명0.5810.9771.0000.2990.997
법인형태구분0.2190.2590.2991.0000.301
데이터기준일자0.5630.9750.9970.3011.000
2024-05-03T18:42:58.944283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도마을기업회원수마을기업구분법인형태구분관리기관전화번호관리기관명데이터기준일자
위도1.000-0.0730.0620.2220.1390.7080.7180.710
경도-0.0731.0000.1430.2190.1470.5670.5850.587
마을기업회원수0.0620.1431.0000.0000.2230.0640.2200.230
마을기업구분0.2220.2190.0001.0000.2190.5830.5810.563
법인형태구분0.1390.1470.2230.2191.0000.2590.2990.301
관리기관전화번호0.7080.5670.0640.5830.2591.0000.9770.975
관리기관명0.7180.5850.2200.5810.2990.9771.0000.997
데이터기준일자0.7100.5870.2300.5630.3010.9750.9971.000

Missing values

2024-05-03T18:42:28.761385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T18:42:29.513335image/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.
2024-05-03T18:42:30.112408image/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

마을기업명마을기업구분법인명법인형태구분소재지도로명주소소재지지번주소위도경도마을기업설립연월마을기업인증연월마을기업대표자명마을기업대표전화번호마을기업홈페이지마을기업회원수마을기업목적사업마을기업주요상품상품관련인증정보관리기관전화번호관리기관명데이터기준일자
0아낙네마을영농조합자립형아낙네마을영농조합영농조합경기도 남양주시 조안면 북한강로113번안길 2경기도 남양주시 조안면 조안리 537-2번지37.53971127.2965922014-042011-04홍영숙031-576-8420cafe.daum.net/awife6재래식 장류 및 친환경 먹거리 생산 판매+ 체험깻순짱아찌 + 된장 + 고추장+ 쌈장 등<NA>031-590-4085경기도 남양주시청2023-05-19
1㈜물빛자전거세상자립형㈜물빛자전거세상주식회사경기도 남양주시 조안면 다산로 573경기도 남양주시 조안면 능내리 135-1번지37.524361127.2964312012-062012-03양희문031-576-9915없음13카페/매점/자전거 수리 및 대여 사업자전거 대여+ 수리+ 매점운영(도시락)<NA>031-590-4085경기도 남양주시청2023-05-19
2송송골느림보협동조합자립형송송골느림보협동조합협동조합경기도 남양주시 조안면 한음길 4경기도 남양주시 조안면 송촌리 663번지37.569141127.3170382013-052014-03김은식031-590-8908http://eun3616.blog.me/23전통혼례 및 민속놀이 체험+ 장류 생산 판매농촌체험 프로그램(전통혼례)+ 된장+ 쌈장+ 고추장 등<NA>031-590-8908경기도 남양주시청2023-05-19
3시우리생태영농조합자립형시우리생태영농조합영농조합경기도 남양주시 조안면 고래산로 413-24경기도 남양주시 조안면 시우리 224번지37.587249127.2942222013-112015-01신영수031-590-4085http://siwuri.com/10친환경 농산물 생산판매 + 농촌체험 프로그램 운영감자 + 절임배추등 친환경 농산물+ 반디체험<NA>031-590-4085경기도 남양주시청2023-05-19
4협동상회협동조합자립형협동상회협동조합협동조합경기도 남양주시 덕송3로 27경기도 남양주시 별내동 80537.66952127.1123412021-122023-04양혜원070-7770-2215없음/8로컬푸드마켓운영상품종합도소매<NA>031-590-4085경기도 남양주시청2023-05-19
5영농조합법인달뫼마을사람들자립형영농조합법인달뫼마을사람들영농조합경기도 김포시 통진읍 동을산로 157경기도 김포시 통진읍 동을산리 31-637.700838126.6262982023-092023-04윤상진031-984-2388<NA>30된장분양사업된장<NA>031-980-2746경기도 김포시청2023-09-15
6농업회사법인엘리트농부㈜자립형농업회사법인엘리트농부㈜주식회사경기도 김포시 김포대로 1009-49(북변동)경기도 김포시 북변동 154-237.630716126.7009332023-032023-02최장수031-981-8456http://www.gimpolocalfood.co.kr25농산물유통친환경농산물<NA>031-980-2746경기도 김포시청2023-09-15
7후평마을정미소영농조합법인자립형후평마을정미소영농조합법인영농조합경기도 김포시 하성면 후평로 102경기도 김포시 하성면 후평리 416-137.740549126.6431862023-072023-09장건태000-0000-0000<NA>12정미소 운영 및 미곡 유통미곡<NA>031-980-2746경기도 김포시청2023-09-15
8하성의미술인들협동조합기타하성의미술인들협동조합협동조합경기도 김포시 하성면 하성로656번길 22경기도 김포시 하성면 양택리 288-237.731563126.629462023-012023-08김동임031-981-9845<NA>10통일미술체험교육, 관광프로그램체험교육<NA>031-980-2746경기도 김포시청2023-09-15
9우리동네책문화 협동조합기타우리동네책문화 협동조합협동조합경기도 김포시 김포한강2로 76, 프레즌스빌딩 402호경기도 김포시 장기동 2039-337.639273126.6747112023-112023-03이숙희000-0000-0000<NA>6도서, 문화콘텐츠제작, 행사대행도서, 문화콘텐츠제작, 행사대행<NA>031-980-2746경기도 김포시청2023-09-15
마을기업명마을기업구분법인명법인형태구분소재지도로명주소소재지지번주소위도경도마을기업설립연월마을기업인증연월마을기업대표자명마을기업대표전화번호마을기업홈페이지마을기업회원수마을기업목적사업마을기업주요상품상품관련인증정보관리기관전화번호관리기관명데이터기준일자
219남종면나루터협동조합기타남종면나루터협동조합협동조합경기도 광주시 남종면 산수로 2104-19경기도 광주시 남종면 귀여리 176-4번지37.524748127.3224582021-072021-01김용덕000-000-0000<NA>13농산물 도소매+조경화훼류<NA>031-760-2672경기도 광주시청2023-11-27
220발트슈테른협동조합자립형발트슈테른협동조합협동조합경기도 광주시 퇴촌면 천진암로 628경기도 광주시 퇴촌면 관음리 352-2번지37.456644127.333442021-022021-05한정윤000-000-0000<NA>5수공예제품 판매 및 강좌수공예 생활용품<NA>031-760-2672경기도 광주시청2023-11-27
221다옴협동조합신규다옴협동조합협동조합경기도 화성시 향남읍 상신초교길 52경기도 화성시 향남읍 상신리 874번지 2층 1호37.094072126.9011822018-022023-04채남희000-0000-0000<NA>7농산물 가공 및 판매+취약계층 일자리 창출누룽지+장류+발효식품<NA>031-5189-6059경기도 화성시청2023-11-15
222생태예술한옥마을신규생태예술한옥마을영농조합영농조합경기도 화성시 송산면 개매기길 90경기도 화성시 송산면 고포리 385-2번지37.242254126.6859662017-092018-04박승원000-0000-0000<NA>10농산물 가공 및 판매포도즙+식초HACCP 인증031-5189-6059경기도 화성시청2023-11-15
223사)한국장애인기업협회 고양시지회자립형사)한국장애인기업협회 고양시지회사단법인경기도 고양시 일산동구 견달산로 231경기도 고양시 일산동구 식사동 1159-2번지37.68663126.8198562011-052011-05윤창준070-8015-9145<NA><NA>기타헌옷+고물+폐기물 등 수거 판매<NA>031-8075-3717경기도 고양시청2023-08-21
224농업회사법인파주적성푸드팜㈜기타농업회사법인파주적성푸드팜㈜주식회사경기도 파주시 적성면 청송로 1013경기도 파주시 적성면 마지리 48-137.954283126.9176172021-052021-05김정대070-7737-9157<NA>44농가 소득 증대지역특산물+친환경 가공품 판매<NA>031-940-5071경기도 파주시청2023-05-10
225가양주작㈜자립형가양주작㈜주식회사경기도 군포시 대야1로24번길 10경기도 군포시 대야미동 653-137.328193126.9177712016-032016-11김은성070-4117-7755<NA>19양조장+주점 운영전통주제조 및 판매<NA>031-390-0940경기도 군포시청2023-11-15
226수원마을협동조합신규수원마을협동조합협동조합경기도 수원시 팔달구 정조로725경기도 수원시 팔달구 중동 110번지37.272876127.016225<NA>2013-04이일우031-251-8500<NA><NA>제조업축산도매<NA>031-228-3881수원특례시청 마을자치과2023-10-23
227참새방앗간2차연도여물리체험마을영농조합법인영농조합경기도 양평군 청운면 청운체육공원길 26경기도 양평군 청운면 여물리 109-737.553539127.7062952023-042023-05공익성031-772-3122www.ymrg.co.kr33관광체험떡류+장류농촌융복합사업(6차산업)인증031-770-2637경기도 양평군청2023-05-24
228양평착한떡마을신규농업회사법인 양평착한떡마을㈜기타경기도 양평군 단월면 석산로 922-10경기도 양평군 단월면 산음리 219-437.606355127.602922023-082023-09최종호031-774-5714<NA>7전통식품전통떡(쑥밀랍떡, 흑미밀랍떡) 가공 및 체험프로그램 운영<NA>031-770-2637경기도 양평군청2023-05-24