Overview

Dataset statistics

Number of variables12
Number of observations229
Missing cells105
Missing cells (%)3.8%
Duplicate rows11
Duplicate rows (%)4.8%
Total size in memory21.8 KiB
Average record size in memory97.6 B

Variable types

Text7
Categorical4
Numeric1

Dataset

Description충청남도 마을기업정보로 마을기업명, 마을기업구분, 법인명, 법인형태, 소재지도로명주소, 마을기업대표자, 마을기업주요상품 등의 현황 정보입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=31&beforeMenuCd=DOM_000000201001001000&publicdatapk=15118671

Alerts

Dataset has 11 (4.8%) duplicate rowsDuplicates
관리기관명 is highly overall correlated with 마을기업구분 and 1 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 마을기업구분 and 1 other fieldsHigh correlation
마을기업구분 is highly overall correlated with 관리기관전화번호 and 1 other fieldsHigh correlation
소재지도로명주소 has 4 (1.7%) missing valuesMissing
마을기업회원수 has 101 (44.1%) missing valuesMissing

Reproduction

Analysis started2024-01-09 21:17:24.308194
Analysis finished2024-01-09 21:17:25.557071
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을기업명
Text

Distinct177
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:17:25.692957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.5240175
Min length3

Characters and Unicode

Total characters2181
Distinct characters270
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

Unique128 ?
Unique (%)55.9%

Sample

1st row주식회사 생각교육개발
2nd row협동조합 아우내공동체
3rd row양곡마을회
4th row광덕문화농촌마을영농조합법인
5th row㈜품앗이(카페사랑방)
ValueCountFrequency (%)
영농조합법인 11
 
4.1%
협동조합 8
 
3.0%
영농조합 4
 
1.5%
황토사랑영농조합법인 3
 
1.1%
꽃송아리영농조합법인 3
 
1.1%
서산약바위빌리지 3
 
1.1%
굴포영농조합법인 2
 
0.7%
갈밭사랑영농조합 2
 
0.7%
오얏마을영농조합법인 2
 
0.7%
꿈순이들의영농조합법인 2
 
0.7%
Other values (187) 231
85.2%
2024-01-10T06:17:26.009276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 162
 
7.4%
조 161
 
7.4%
농 126
 
5.8%
영 120
 
5.5%
인 105
 
4.8%
법 102
 
4.7%
마 73
 
3.3%
동 68
 
3.1%
을 66
 
3.0%
산 47
 
2.2%
Other values (260) 1151
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2104
96.5%
Space Separator 42
 
1.9%
Other Symbol 21
 
1.0%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Uppercase Letter 4
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 162
 
7.7%
조 161
 
7.7%
농 126
 
6.0%
영 120
 
5.7%
인 105
 
5.0%
법 102
 
4.8%
마 73
 
3.5%
동 68
 
3.2%
을 66
 
3.1%
산 47
 
2.2%
Other values (251) 1074
51.0%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2125
97.4%
Common 52
 
2.4%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 162
 
7.6%
조 161
 
7.6%
농 126
 
5.9%
영 120
 
5.6%
인 105
 
4.9%
법 102
 
4.8%
마 73
 
3.4%
동 68
 
3.2%
을 66
 
3.1%
산 47
 
2.2%
Other values (252) 1095
51.5%
Common
ValueCountFrequency (%)
42
80.8%
( 4
 
7.7%
) 4
 
7.7%
2 2
 
3.8%
Latin
ValueCountFrequency (%)
Y 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2104
96.5%
ASCII 56
 
2.6%
None 21
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 162
 
7.7%
조 161
 
7.7%
농 126
 
6.0%
영 120
 
5.7%
인 105
 
5.0%
법 102
 
4.8%
마 73
 
3.5%
동 68
 
3.2%
을 66
 
3.1%
산 47
 
2.2%
Other values (251) 1074
51.0%
ASCII
ValueCountFrequency (%)
42
75.0%
( 4
 
7.1%
) 4
 
7.1%
2 2
 
3.6%
Y 1
 
1.8%
M 1
 
1.8%
C 1
 
1.8%
A 1
 
1.8%
None
ValueCountFrequency (%)
㈜ 21
100.0%

마을기업구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
자립형
168 
신규
39 
2차년도
 
11
기타
 
11

Length

Max length4
Median length3
Mean length2.8296943
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자립형 168
73.4%
신규 39
 
17.0%
2차년도 11
 
4.8%
기타 11
 
4.8%

Length

2024-01-10T06:17:26.128525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:17:26.212347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자립형 168
73.4%
신규 39
 
17.0%
2차년도 11
 
4.8%
기타 11
 
4.8%

법인명
Text

Distinct163
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:17:26.364891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length10.043668
Min length1

Characters and Unicode

Total characters2300
Distinct characters266
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

Unique104 ?
Unique (%)45.4%

Sample

1st row주식회사생각교육개발
2nd row협동조합 아우내공동체
3rd row양곡마을회
4th row광덕농촌문화마을 영농조합법인(법인으로 보는 단체)
5th row㈜품앗이
ValueCountFrequency (%)
영농조합법인 11
 
4.0%
협동조합 9
 
3.3%
꽃송아리영농조합법인 5
 
1.8%
영농조합 4
 
1.5%
황토사랑영농조합법인 3
 
1.1%
하늘품에영농조합법인 3
 
1.1%
꼼지락예산적정기술협동조합 3
 
1.1%
서산약바위빌리지 3
 
1.1%
모아협동조합 2
 
0.7%
칠갑산콩영농조합법인 2
 
0.7%
Other values (175) 229
83.6%
2024-01-10T06:17:26.653928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 178
 
7.7%
조 177
 
7.7%
농 141
 
6.1%
영 129
 
5.6%
인 123
 
5.3%
법 121
 
5.3%
동 73
 
3.2%
마 64
 
2.8%
을 57
 
2.5%
협 49
 
2.1%
Other values (256) 1188
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2226
96.8%
Space Separator 45
 
2.0%
Other Symbol 15
 
0.7%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Uppercase Letter 4
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 178
 
8.0%
조 177
 
8.0%
농 141
 
6.3%
영 129
 
5.8%
인 123
 
5.5%
법 121
 
5.4%
동 73
 
3.3%
마 64
 
2.9%
을 57
 
2.6%
협 49
 
2.2%
Other values (247) 1114
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
Y 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2241
97.4%
Common 55
 
2.4%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 178
 
7.9%
조 177
 
7.9%
농 141
 
6.3%
영 129
 
5.8%
인 123
 
5.5%
법 121
 
5.4%
동 73
 
3.3%
마 64
 
2.9%
을 57
 
2.5%
협 49
 
2.2%
Other values (248) 1129
50.4%
Common
ValueCountFrequency (%)
45
81.8%
( 4
 
7.3%
) 4
 
7.3%
2 2
 
3.6%
Latin
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
Y 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2226
96.8%
ASCII 59
 
2.6%
None 15
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 178
 
8.0%
조 177
 
8.0%
농 141
 
6.3%
영 129
 
5.8%
인 123
 
5.5%
법 121
 
5.4%
동 73
 
3.3%
마 64
 
2.9%
을 57
 
2.6%
협 49
 
2.2%
Other values (247) 1114
50.0%
ASCII
ValueCountFrequency (%)
45
76.3%
( 4
 
6.8%
) 4
 
6.8%
2 2
 
3.4%
C 1
 
1.7%
A 1
 
1.7%
Y 1
 
1.7%
M 1
 
1.7%
None
ValueCountFrequency (%)
㈜ 15
100.0%

법인형태구분
Categorical

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영농조합
135 
협동조합
49 
주식회사
26 
기타
17 
사단법인
 
2

Length

Max length4
Median length4
Mean length3.8515284
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영농조합 135
59.0%
협동조합 49
 
21.4%
주식회사 26
 
11.4%
기타 17
 
7.4%
사단법인 2
 
0.9%

Length

2024-01-10T06:17:26.774830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:17:26.863342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영농조합 135
59.0%
협동조합 49
 
21.4%
주식회사 26
 
11.4%
기타 17
 
7.4%
사단법인 2
 
0.9%

소재지도로명주소
Text

MISSING 

Distinct149
Distinct (%)66.2%
Missing4
Missing (%)1.7%
Memory size1.9 KiB
2024-01-10T06:17:27.102762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length21.355556
Min length15

Characters and Unicode

Total characters4805
Distinct characters185
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

Unique80 ?
Unique (%)35.6%

Sample

1st row충청남도 천안시 서북구 월봉8길19
2nd row충청남도 천안시 동남구 병천면 병천5길 32-35
3rd row충청남도 천안시 동남구 북면 양곡2길 3
4th row충청남도 천안시 동남구 광덕면 외보1길 37
5th row충청남도 천안시 동남구 고재5길 1(원성동)
ValueCountFrequency (%)
충청남도 225
 
20.1%
서산시 28
 
2.5%
아산시 23
 
2.1%
홍성군 23
 
2.1%
보령시 20
 
1.8%
청양군 20
 
1.8%
태안군 17
 
1.5%
서천군 17
 
1.5%
부여군 17
 
1.5%
예산군 15
 
1.3%
Other values (350) 712
63.7%
2024-01-10T06:17:27.481840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
892
18.6%
청 254
 
5.3%
남 244
 
5.1%
도 233
 
4.8%
충 228
 
4.7%
면 177
 
3.7%
1 156
 
3.2%
길 150
 
3.1%
산 131
 
2.7%
시 123
 
2.6%
Other values (175) 2217
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3059
63.7%
Space Separator 892
 
18.6%
Decimal Number 773
 
16.1%
Dash Punctuation 75
 
1.6%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 254
 
8.3%
남 244
 
8.0%
도 233
 
7.6%
충 228
 
7.5%
면 177
 
5.8%
길 150
 
4.9%
산 131
 
4.3%
시 123
 
4.0%
군 117
 
3.8%
로 103
 
3.4%
Other values (161) 1299
42.5%
Decimal Number
ValueCountFrequency (%)
1 156
20.2%
2 89
11.5%
3 86
11.1%
4 81
10.5%
5 72
9.3%
9 61
 
7.9%
0 61
 
7.9%
7 60
 
7.8%
8 54
 
7.0%
6 53
 
6.9%
Space Separator
ValueCountFrequency (%)
892
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3059
63.7%
Common 1746
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 254
 
8.3%
남 244
 
8.0%
도 233
 
7.6%
충 228
 
7.5%
면 177
 
5.8%
길 150
 
4.9%
산 131
 
4.3%
시 123
 
4.0%
군 117
 
3.8%
로 103
 
3.4%
Other values (161) 1299
42.5%
Common
ValueCountFrequency (%)
892
51.1%
1 156
 
8.9%
2 89
 
5.1%
3 86
 
4.9%
4 81
 
4.6%
- 75
 
4.3%
5 72
 
4.1%
9 61
 
3.5%
0 61
 
3.5%
7 60
 
3.4%
Other values (4) 113
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3059
63.7%
ASCII 1746
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
892
51.1%
1 156
 
8.9%
2 89
 
5.1%
3 86
 
4.9%
4 81
 
4.6%
- 75
 
4.3%
5 72
 
4.1%
9 61
 
3.5%
0 61
 
3.5%
7 60
 
3.4%
Other values (4) 113
 
6.5%
Hangul
ValueCountFrequency (%)
청 254
 
8.3%
남 244
 
8.0%
도 233
 
7.6%
충 228
 
7.5%
면 177
 
5.8%
길 150
 
4.9%
산 131
 
4.3%
시 123
 
4.0%
군 117
 
3.8%
로 103
 
3.4%
Other values (161) 1299
42.5%

마을기업인증년월
Text

Distinct71
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:17:27.701362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters1374
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)10.9%

Sample

1st rowAug-16
2nd rowApr-20
3rd rowAug-16
4th rowAug-16
5th rowAug-16
ValueCountFrequency (%)
may-13 13
 
5.7%
mar-12 13
 
5.7%
mar-20 13
 
5.7%
jul-20 11
 
4.8%
may-20 9
 
3.9%
apr-18 8
 
3.5%
jun-13 8
 
3.5%
may-11 7
 
3.1%
oct-13 6
 
2.6%
sep-13 6
 
2.6%
Other values (61) 135
59.0%
2024-01-10T06:17:27.999403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 229
16.7%
1 198
14.4%
2 83
 
6.0%
a 82
 
6.0%
M 79
 
5.7%
u 77
 
5.6%
J 64
 
4.7%
0 64
 
4.7%
r 54
 
3.9%
y 42
 
3.1%
Other values (23) 402
29.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 458
33.3%
Lowercase Letter 458
33.3%
Dash Punctuation 229
16.7%
Uppercase Letter 229
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 82
17.9%
u 77
16.8%
r 54
11.8%
y 42
9.2%
n 33
7.2%
l 31
 
6.8%
p 29
 
6.3%
o 20
 
4.4%
v 20
 
4.4%
c 19
 
4.1%
Other values (4) 51
11.1%
Decimal Number
ValueCountFrequency (%)
1 198
43.2%
2 83
18.1%
0 64
 
14.0%
3 37
 
8.1%
4 19
 
4.1%
6 18
 
3.9%
7 14
 
3.1%
8 9
 
2.0%
5 8
 
1.7%
9 8
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
M 79
34.5%
J 64
27.9%
A 33
14.4%
N 20
 
8.7%
O 16
 
7.0%
S 12
 
5.2%
D 3
 
1.3%
F 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 687
50.0%
Latin 687
50.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 82
11.9%
M 79
11.5%
u 77
11.2%
J 64
 
9.3%
r 54
 
7.9%
y 42
 
6.1%
A 33
 
4.8%
n 33
 
4.8%
l 31
 
4.5%
p 29
 
4.2%
Other values (12) 163
23.7%
Common
ValueCountFrequency (%)
- 229
33.3%
1 198
28.8%
2 83
 
12.1%
0 64
 
9.3%
3 37
 
5.4%
4 19
 
2.8%
6 18
 
2.6%
7 14
 
2.0%
8 9
 
1.3%
5 8
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 229
16.7%
1 198
14.4%
2 83
 
6.0%
a 82
 
6.0%
M 79
 
5.7%
u 77
 
5.6%
J 64
 
4.7%
0 64
 
4.7%
r 54
 
3.9%
y 42
 
3.1%
Other values (23) 402
29.3%

마을기업대표자명
Text

Distinct149
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:17:28.264661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0655022
Min length2

Characters and Unicode

Total characters702
Distinct characters126
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

Unique76 ?
Unique (%)33.2%

Sample

1st row김재명
2nd row배민아
3rd row김승진
4th row신남수
5th row허욱
ValueCountFrequency (%)
이상진 4
 
1.7%
신정익 3
 
1.3%
차정자 3
 
1.3%
김종현 3
 
1.3%
홍은미 3
 
1.3%
최기환 3
 
1.3%
이춘복 2
 
0.9%
정금록 2
 
0.9%
우공식 2
 
0.9%
장광석 2
 
0.9%
Other values (140) 204
88.3%
2024-01-10T06:17:28.633320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 47
 
6.7%
이 35
 
5.0%
정 29
 
4.1%
박 22
 
3.1%
순 17
 
2.4%
현 17
 
2.4%
수 17
 
2.4%
최 16
 
2.3%
기 15
 
2.1%
명 13
 
1.9%
Other values (116) 474
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 700
99.7%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 47
 
6.7%
이 35
 
5.0%
정 29
 
4.1%
박 22
 
3.1%
순 17
 
2.4%
현 17
 
2.4%
수 17
 
2.4%
최 16
 
2.3%
기 15
 
2.1%
명 13
 
1.9%
Other values (115) 472
67.4%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 700
99.7%
Common 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 47
 
6.7%
이 35
 
5.0%
정 29
 
4.1%
박 22
 
3.1%
순 17
 
2.4%
현 17
 
2.4%
수 17
 
2.4%
최 16
 
2.3%
기 15
 
2.1%
명 13
 
1.9%
Other values (115) 472
67.4%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 700
99.7%
ASCII 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 47
 
6.7%
이 35
 
5.0%
정 29
 
4.1%
박 22
 
3.1%
순 17
 
2.4%
현 17
 
2.4%
수 17
 
2.4%
최 16
 
2.3%
기 15
 
2.1%
명 13
 
1.9%
Other values (115) 472
67.4%
ASCII
ValueCountFrequency (%)
2
100.0%

마을기업회원수
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)32.8%
Missing101
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean21.304688
Minimum3
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-01-10T06:17:28.762353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median11
Q325.25
95-th percentile63.15
Maximum170
Range167
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation26.393019
Coefficient of variation (CV)1.2388363
Kurtosis13.912498
Mean21.304688
Median Absolute Deviation (MAD)5
Skewness3.4128542
Sum2727
Variance696.59147
MonotonicityNot monotonic
2024-01-10T06:17:28.876099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 23
 
10.0%
5 17
 
7.4%
12 7
 
3.1%
15 5
 
2.2%
14 5
 
2.2%
7 5
 
2.2%
6 5
 
2.2%
8 5
 
2.2%
9 5
 
2.2%
11 4
 
1.7%
Other values (32) 47
20.5%
(Missing) 101
44.1%
ValueCountFrequency (%)
3 1
 
0.4%
4 1
 
0.4%
5 17
7.4%
6 5
 
2.2%
7 5
 
2.2%
8 5
 
2.2%
9 5
 
2.2%
10 23
10.0%
11 4
 
1.7%
12 7
 
3.1%
ValueCountFrequency (%)
170 1
0.4%
151 1
0.4%
131 1
0.4%
106 1
0.4%
80 1
0.4%
68 1
0.4%
67 1
0.4%
56 1
0.4%
55 1
0.4%
54 1
0.4%

마을기업목적사업
Text

Distinct189
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:17:29.147985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length14.043668
Min length3

Characters and Unicode

Total characters3216
Distinct characters331
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)75.1%

Sample

1st row천안의 교육적 유무형 자산 규모파악 및 선별적 교육문화콘텐츠 자체제작사업
2nd row마을공방 숲체험마을 아우내 19경 투어
3rd row문화체험(솟대장승)펜션등
4th row공예 및 농촌체험(산나물 전통장 등)
5th row농산물 공동출하 생산 가공 저장 유통 등
ValueCountFrequency (%)
및 67
 
8.1%
판매 55
 
6.7%
농산물 25
 
3.0%
생산 21
 
2.5%
등 16
 
1.9%
체험 15
 
1.8%
가공 13
 
1.6%
지역 12
 
1.5%
식품제조 12
 
1.5%
활성화 11
 
1.3%
Other values (394) 580
70.1%
2024-01-10T06:17:29.542247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
600
 
18.7%
산 104
 
3.2%
매 94
 
2.9%
판 84
 
2.6%
공 76
 
2.4%
및 69
 
2.1%
농 65
 
2.0%
체 62
 
1.9%
물 59
 
1.8%
제 54
 
1.7%
Other values (321) 1949
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2587
80.4%
Space Separator 600
 
18.7%
Other Punctuation 11
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Final Punctuation 2
 
0.1%
Initial Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 104
 
4.0%
매 94
 
3.6%
판 84
 
3.2%
공 76
 
2.9%
및 69
 
2.7%
농 65
 
2.5%
체 62
 
2.4%
물 59
 
2.3%
제 54
 
2.1%
험 52
 
2.0%
Other values (308) 1868
72.2%
Other Punctuation
ValueCountFrequency (%)
' 6
54.5%
· 3
27.3%
. 1
 
9.1%
/ 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
600
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2587
80.4%
Common 627
 
19.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 104
 
4.0%
매 94
 
3.6%
판 84
 
3.2%
공 76
 
2.9%
및 69
 
2.7%
농 65
 
2.5%
체 62
 
2.4%
물 59
 
2.3%
제 54
 
2.1%
험 52
 
2.0%
Other values (308) 1868
72.2%
Common
ValueCountFrequency (%)
600
95.7%
' 6
 
1.0%
) 5
 
0.8%
( 5
 
0.8%
· 3
 
0.5%
’ 2
 
0.3%
‘ 2
 
0.3%
. 1
 
0.2%
/ 1
 
0.2%
9 1
 
0.2%
Latin
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2587
80.4%
ASCII 622
 
19.3%
Punctuation 4
 
0.1%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
600
96.5%
' 6
 
1.0%
) 5
 
0.8%
( 5
 
0.8%
. 1
 
0.2%
/ 1
 
0.2%
M 1
 
0.2%
E 1
 
0.2%
9 1
 
0.2%
1 1
 
0.2%
Hangul
ValueCountFrequency (%)
산 104
 
4.0%
매 94
 
3.6%
판 84
 
3.2%
공 76
 
2.9%
및 69
 
2.7%
농 65
 
2.5%
체 62
 
2.4%
물 59
 
2.3%
제 54
 
2.1%
험 52
 
2.0%
Other values (308) 1868
72.2%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%

마을기업주요상품
Text

Distinct178
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-10T06:17:29.741430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length6.4235808
Min length1

Characters and Unicode

Total characters1471
Distinct characters253
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)64.2%

Sample

1st row교육
2nd row체험 공방
3rd row문화체험(솟대장승)펜션등
4th row공예 및 농촌체험(산나물 전통장 등)
5th row커피 차 쿠키 케익
ValueCountFrequency (%)
농산물 15
 
3.9%
등 12
 
3.1%
절임배추 11
 
2.9%
판매 11
 
2.9%
체험 10
 
2.6%
장류 8
 
2.1%
및 8
 
2.1%
농촌체험 6
 
1.6%
두부 6
 
1.6%
생산 6
 
1.6%
Other values (214) 292
75.8%
2024-01-10T06:17:30.071060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
10.7%
산 44
 
3.0%
장 39
 
2.7%
농 39
 
2.7%
체 34
 
2.3%
험 33
 
2.2%
공 28
 
1.9%
품 27
 
1.8%
물 27
 
1.8%
통 26
 
1.8%
Other values (243) 1016
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1292
87.8%
Space Separator 158
 
10.7%
Math Symbol 7
 
0.5%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 44
 
3.4%
장 39
 
3.0%
농 39
 
3.0%
체 34
 
2.6%
험 33
 
2.6%
공 28
 
2.2%
품 27
 
2.1%
물 27
 
2.1%
통 26
 
2.0%
전 25
 
1.9%
Other values (237) 970
75.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1292
87.8%
Common 177
 
12.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 44
 
3.4%
장 39
 
3.0%
농 39
 
3.0%
체 34
 
2.6%
험 33
 
2.6%
공 28
 
2.2%
품 27
 
2.1%
물 27
 
2.1%
통 26
 
2.0%
전 25
 
1.9%
Other values (237) 970
75.1%
Common
ValueCountFrequency (%)
158
89.3%
+ 7
 
4.0%
) 6
 
3.4%
( 6
 
3.4%
Latin
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1292
87.8%
ASCII 179
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
88.3%
+ 7
 
3.9%
) 6
 
3.4%
( 6
 
3.4%
M 1
 
0.6%
E 1
 
0.6%
Hangul
ValueCountFrequency (%)
산 44
 
3.4%
장 39
 
3.0%
농 39
 
3.0%
체 34
 
2.6%
험 33
 
2.6%
공 28
 
2.2%
품 27
 
2.1%
물 27
 
2.1%
통 26
 
2.0%
전 25
 
1.9%
Other values (237) 970
75.1%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
041-635-2283
100 
041-660-3218
22 
041-545-5900
12 
041-630-1355
11 
041-930-3727
 
10
Other values (19)
74 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique9 ?
Unique (%)3.9%

Sample

1st row041-521-5612
2nd row041-521-5612
3rd row041-521-5612
4th row041-521-5612
5th row041-521-5612

Common Values

ValueCountFrequency (%)
041-635-2283 100
43.7%
041-660-3218 22
 
9.6%
041-545-5900 12
 
5.2%
041-630-1355 11
 
4.8%
041-930-3727 10
 
4.4%
041-950-4131 9
 
3.9%
041-830-2264 9
 
3.9%
041-746-6014 9
 
3.9%
041-670-2845 8
 
3.5%
041-339-7283 7
 
3.1%
Other values (14) 32
 
14.0%

Length

2024-01-10T06:17:30.422835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
041-635-2283 100
43.7%
041-660-3218 22
 
9.6%
041-545-5900 12
 
5.2%
041-630-1355 11
 
4.8%
041-930-3727 10
 
4.4%
041-950-4131 9
 
3.9%
041-830-2264 9
 
3.9%
041-746-6014 9
 
3.9%
041-670-2845 8
 
3.5%
041-339-7283 7
 
3.1%
Other values (14) 32
 
14.0%

관리기관명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
충남도청
100 
충청남도 서산시청
22 
아산시청 사회적경제과
12 
충청남도 홍성군청
11 
보령시
 
10
Other values (11)
74 

Length

Max length11
Median length4
Mean length5.8078603
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남도청 100
43.7%
충청남도 서산시청 22
 
9.6%
아산시청 사회적경제과 12
 
5.2%
충청남도 홍성군청 11
 
4.8%
보령시 10
 
4.4%
부여군청 9
 
3.9%
충청남도 청양군청 9
 
3.9%
충청남도 서천군청 9
 
3.9%
충청남도 논산시청 9
 
3.9%
태안군 8
 
3.5%
Other values (6) 30
 
13.1%

Length

2024-01-10T06:17:30.541910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충남도청 100
32.3%
충청남도 66
21.3%
서산시청 22
 
7.1%
아산시청 12
 
3.9%
사회적경제과 12
 
3.9%
홍성군청 11
 
3.5%
보령시 10
 
3.2%
논산시청 9
 
2.9%
서천군청 9
 
2.9%
청양군청 9
 
2.9%
Other values (9) 50
16.1%

Interactions

2024-01-10T06:17:25.150772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:17:30.637703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을기업구분법인형태구분마을기업인증년월마을기업회원수관리기관전화번호관리기관명
마을기업구분1.0000.1330.7250.0000.9660.974
법인형태구분0.1331.0000.4950.0000.2400.298
마을기업인증년월0.7250.4951.0000.0000.8170.895
마을기업회원수0.0000.0000.0001.0000.0000.216
관리기관전화번호0.9660.2400.8170.0001.0001.000
관리기관명0.9740.2980.8950.2161.0001.000
2024-01-10T06:17:30.747399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명법인형태구분마을기업구분관리기관전화번호
관리기관명1.0000.1520.7750.981
법인형태구분0.1521.0000.1080.111
마을기업구분0.7750.1081.0000.752
관리기관전화번호0.9810.1110.7521.000
2024-01-10T06:17:30.846762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을기업회원수마을기업구분법인형태구분관리기관전화번호관리기관명
마을기업회원수1.0000.0000.0000.0000.081
마을기업구분0.0001.0000.1080.7520.775
법인형태구분0.0000.1081.0000.1110.152
관리기관전화번호0.0000.7520.1111.0000.981
관리기관명0.0810.7750.1520.9811.000

Missing values

2024-01-10T06:17:25.256144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:17:25.397403image/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.
2024-01-10T06:17:25.510687image/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

마을기업명마을기업구분법인명법인형태구분소재지도로명주소마을기업인증년월마을기업대표자명마을기업회원수마을기업목적사업마을기업주요상품관리기관전화번호관리기관명
0주식회사 생각교육개발신규주식회사생각교육개발주식회사충청남도 천안시 서북구 월봉8길19Aug-16김재명10천안의 교육적 유무형 자산 규모파악 및 선별적 교육문화콘텐츠 자체제작사업교육041-521-5612천안시청
1협동조합 아우내공동체신규협동조합 아우내공동체협동조합충청남도 천안시 동남구 병천면 병천5길 32-35Apr-20배민아22마을공방 숲체험마을 아우내 19경 투어체험 공방041-521-5612천안시청
2양곡마을회신규양곡마을회기타충청남도 천안시 동남구 북면 양곡2길 3Aug-16김승진15문화체험(솟대장승)펜션등문화체험(솟대장승)펜션등041-521-5612천안시청
3광덕문화농촌마을영농조합법인신규광덕농촌문화마을 영농조합법인(법인으로 보는 단체)영농조합충청남도 천안시 동남구 광덕면 외보1길 37Aug-16신남수14공예 및 농촌체험(산나물 전통장 등)공예 및 농촌체험(산나물 전통장 등)041-521-5612천안시청
4㈜품앗이(카페사랑방)신규㈜품앗이주식회사충청남도 천안시 동남구 고재5길 1(원성동)Aug-16허욱15농산물 공동출하 생산 가공 저장 유통 등커피 차 쿠키 케익041-521-5612천안시청
5고마아토주식회사2차년도고마아토주식회사주식회사충청남도 공주시 관광단지길 12May-17황인영12공예인이 모여 지역문화체험상품 및 지역관광상품 개발판매공예품041-840-8598공주시청
6드림즈마을 협동조합2차년도드림즈마을 협동조합협동조합충청남도 공주시 유구읍 중앙2길 100May-17이지은10마을에 부재한 커뮤니티 공간활용 커피숍운영 식당운영 마을 학교 운영국수 카페 평생교육041-840-8598공주시청
7대장이랜드㈜2차년도농업회사법인 대장이랜드 주식회사주식회사충청남도 공주시 계룡면 농바위길 1-3Apr-18박노호32농산물 생산유통 체험학습 숙박농산물 체험학습041-840-8598공주시청
8금산힐링푸드 영농조합법인신규금산힐링푸드 영농조합법인영농조합충청남도 금산군 부리면 수통3길 30May-13노봉오9친환경농산물 판매캠핑체험등농촌체험041-750-2654충청남도 금산군청
9금강나루 영농조합법인2차년도금강나루 영농조합법인영농조합충청남도 금산군 제원면 닥실길 27May-14고은집42오토캠핑장 매점및 에코체험캠핑장 매점041-750-2654충청남도 금산군청
마을기업명마을기업구분법인명법인형태구분소재지도로명주소마을기업인증년월마을기업대표자명마을기업회원수마을기업목적사업마을기업주요상품관리기관전화번호관리기관명
219삽티마을기업신규고래못영농조합법인영농조합충청남도 예산군 응봉면 건지화삽티길 45Mar-20박용호23일반식품일반식품041-339-7283예산군청
220꿈이익는영농조합법인기타꿈이익는영농조합법인영농조합충청남도 예산군 광시면 광시동로 136Mar-20이상진12일반식품일반식품041-339-7283예산군청
221협동조합느린손기타협동조합느린손협동조합충청남도 예산군 대흥면 의좋은형제길 17Sep-20박경신13공예품공예품041-339-7283예산군청
222꿈순이들의영농조합법인기타꿈순이들의영농조합법인영농조합충청남도 예산군 봉산면 봉운로 601-15Jun-20송순단6일반식품일반식품041-339-7283예산군청
223꼼지락예산적정기술협동조합기타꼼지락예산적정기술협동조합협동조합충청남도 예산군 신양면 불원시왕길 442-84Jul-20김명기10공예품공예품041-339-7283예산군청
224쌍지팡이협동조합기타쌍지팡이협동조합협동조합충청남도 예산군 광시면 대리길 208-52Nov-20최옥남54전통식품전통식품041-339-7283예산군청
225형제마을영농조합법인기타형제마을영농조합법인영농조합충청남도 예산군 대흥면 의좋은형제길 51May-20정종열12전통식품전통식품041-339-7283예산군청
226콩사랑마을기업기타콩사랑마을기업주식회사충청남도 계룡시 양정향한길 9Jul-14최해철7국내 콩 두부 제조 및 납품두부 두유 등042-840-2583계룡시 일자리경제과
227팥거리마을협동조합기타팥거리마을협동조합협동조합충청남도 계룡시 팥거리로 114Sep-15황태자11전통차 팥양갱 및 다식 등의 제조·판매 매장 운영팥양갱 다식 차042-840-2583계룡시 일자리경제과
228용도령영농조합기타용도령영농조합영농조합충청남도 계룡시 번영4길 4-1May-16김둘자12‘빨간날 체험장터’운영을 통한 지역 농산물 판매 및 각종 먹거리 제첨지역 특산 농산물(절인배추 한과 등)042-840-2583계룡시 일자리경제과

Duplicate rows

Most frequently occurring

마을기업명마을기업구분법인명법인형태구분소재지도로명주소마을기업인증년월마을기업대표자명마을기업회원수마을기업목적사업마을기업주요상품관리기관전화번호관리기관명# duplicates
0㈜백년청신규백년청농업회사법인주식회사주식회사충청남도 서산시 해미면 해운로 378Jul-20김민자10식품제조전통조청041-660-3218충청남도 서산시청2
1㈜옛향기마을방앗간2차년도농업회사법인옛향기마을방앗간주식회사주식회사충청남도 서산시 부석면 마룡심포길 59Jul-20김정희27식품제조전통들기름참기름041-660-3218충청남도 서산시청2
2갈밭사랑영농조합신규갈밭사랑영농조합영농조합충청남도 서산시 부석면 강경벌로 485May-20김무한5식품제조영농현장 식사배달041-660-3218충청남도 서산시청2
3꽃송아리영농조합법인신규꽃송아리영농조합법인영농조합충청남도 서산시 팔봉면 한월당로 704Mar-20최기환34식품제조게국지 및절임배추041-660-3218충청남도 서산시청2
4서산동부전통시장갯마을협동조합신규서산동부전통시장갯마을협동조합협동조합충청남도 서산시 시장5로 15May-20김종현14도소매도시락감태반찬041-660-3218충청남도 서산시청2
5서산약바위빌리지신규서산약바위빌리지기타충청남도 서산시 팔봉면 문현로 160Mar-20신정익21특산물가공판매전통장류041-660-3218충청남도 서산시청2
6영농조합법인서친숲신규영농조합법인서친숲영농조합충청남도 서산시 인지면 산저1길 41Mar-20한기용35농산물가공표고된장표고고추장041-660-3218충청남도 서산시청2
7영농조합법인한다리표고신규꽃송아리영농조합법인영농조합충청남도 서산시 음암면 한다리길 20May-20김택원10농산물가공표고버섯 생산041-660-3218충청남도 서산시청2
8팔봉산뱅길리영농조합법인참새방앗간신규팔봉산뱅길리영농조합법인참새방앗간영농조합충청남도 서산시 팔봉면 팔봉산로 184May-20안은숙10식품제조감자떡고춧가루들기름 등041-660-3218충청남도 서산시청2
9하늘품에신규하늘품에영농조합법인영농조합충청남도 서산시 인지면 산저1길 73-7Feb-20홍은미6식품제조함초 전통 장류041-660-3218충청남도 서산시청2