Overview

Dataset statistics

Number of variables22
Number of observations2327
Missing cells7098
Missing cells (%)13.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory409.2 KiB
Average record size in memory180.1 B

Variable types

Text13
Categorical2
Numeric4
DateTime3

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15017326/standard.do

Alerts

소재지지번주소 has 873 (37.5%) missing valuesMissing
위도 has 369 (15.9%) missing valuesMissing
경도 has 369 (15.9%) missing valuesMissing
마을기업설립연월 has 584 (25.1%) missing valuesMissing
마을기업홈페이지 has 1955 (84.0%) missing valuesMissing
마을기업회원수 has 738 (31.7%) missing valuesMissing
상품관련인증정보 has 2195 (94.3%) missing valuesMissing

Reproduction

Analysis started2024-05-18 08:57:39.820603
Analysis finished2024-05-18 08:57:45.812810
Duration5.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을기업명
Text

Distinct1986
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:57:46.219383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length9.5251397
Min length2

Characters and Unicode

Total characters22165
Distinct characters688
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1648 ?
Unique (%)70.8%

Sample

1st row무수천하마을 영농조합법인
2nd row창작컴퍼니 미메시스협동조합
3rd row나무시어터사회적협동조합
4th row어남약쑥 영농조합법인
5th row농촌유학 정남진 협동조합
ValueCountFrequency (%)
영농조합법인 162
 
5.5%
협동조합 124
 
4.2%
농업회사법인 72
 
2.4%
주식회사 39
 
1.3%
사회적협동조합 21
 
0.7%
영농조합 15
 
0.5%
유한회사 11
 
0.4%
마을공동체 4
 
0.1%
즐거운 4
 
0.1%
마을기업 4
 
0.1%
Other values (2118) 2508
84.6%
2024-05-18T17:57:47.160774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 1468
 
6.6%
합 1453
 
6.6%
농 964
 
4.3%
동 879
 
4.0%
인 874
 
3.9%
영 802
 
3.6%
법 800
 
3.6%
협 717
 
3.2%
마 653
 
2.9%
638
 
2.9%
Other values (678) 12917
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20879
94.2%
Space Separator 638
 
2.9%
Other Symbol 250
 
1.1%
Close Punctuation 152
 
0.7%
Open Punctuation 148
 
0.7%
Decimal Number 70
 
0.3%
Uppercase Letter 25
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 1468
 
7.0%
합 1453
 
7.0%
농 964
 
4.6%
동 879
 
4.2%
인 874
 
4.2%
영 802
 
3.8%
법 800
 
3.8%
협 717
 
3.4%
마 653
 
3.1%
을 576
 
2.8%
Other values (649) 11693
56.0%
Uppercase Letter
ValueCountFrequency (%)
S 4
16.0%
M 3
12.0%
T 3
12.0%
A 3
12.0%
W 2
8.0%
C 2
8.0%
E 2
8.0%
G 2
8.0%
O 1
 
4.0%
L 1
 
4.0%
Other values (2) 2
8.0%
Decimal Number
ValueCountFrequency (%)
2 19
27.1%
1 14
20.0%
4 10
14.3%
3 9
12.9%
0 4
 
5.7%
5 4
 
5.7%
7 3
 
4.3%
9 3
 
4.3%
8 2
 
2.9%
6 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
e 1
33.3%
i 1
33.3%
Space Separator
ValueCountFrequency (%)
638
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21127
95.3%
Common 1008
 
4.5%
Latin 28
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 1468
 
6.9%
합 1453
 
6.9%
농 964
 
4.6%
동 879
 
4.2%
인 874
 
4.1%
영 802
 
3.8%
법 800
 
3.8%
협 717
 
3.4%
마 653
 
3.1%
을 576
 
2.7%
Other values (648) 11941
56.5%
Latin
ValueCountFrequency (%)
S 4
14.3%
M 3
10.7%
T 3
10.7%
A 3
10.7%
W 2
 
7.1%
C 2
 
7.1%
E 2
 
7.1%
G 2
 
7.1%
n 1
 
3.6%
O 1
 
3.6%
Other values (5) 5
17.9%
Common
ValueCountFrequency (%)
638
63.3%
) 152
 
15.1%
( 148
 
14.7%
2 19
 
1.9%
1 14
 
1.4%
4 10
 
1.0%
3 9
 
0.9%
0 4
 
0.4%
5 4
 
0.4%
7 3
 
0.3%
Other values (3) 7
 
0.7%
Han
ValueCountFrequency (%)
舊 1
50.0%
美 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20877
94.2%
ASCII 1036
 
4.7%
None 250
 
1.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 1468
 
7.0%
합 1453
 
7.0%
농 964
 
4.6%
동 879
 
4.2%
인 874
 
4.2%
영 802
 
3.8%
법 800
 
3.8%
협 717
 
3.4%
마 653
 
3.1%
을 576
 
2.8%
Other values (647) 11691
56.0%
ASCII
ValueCountFrequency (%)
638
61.6%
) 152
 
14.7%
( 148
 
14.3%
2 19
 
1.8%
1 14
 
1.4%
4 10
 
1.0%
3 9
 
0.9%
0 4
 
0.4%
S 4
 
0.4%
5 4
 
0.4%
Other values (18) 34
 
3.3%
None
ValueCountFrequency (%)
㈜ 250
100.0%
CJK
ValueCountFrequency (%)
舊 1
50.0%
美 1
50.0%

마을기업구분
Categorical

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
자립형
1004 
기타
526 
신규
418 
2차연도
315 
기타(1차연도)
 
17
Other values (8)
 
47

Length

Max length8
Median length4
Mean length2.7932961
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
자립형 1004
43.1%
기타 526
22.6%
신규 418
18.0%
2차연도 315
 
13.5%
기타(1차연도) 17
 
0.7%
2차년도 17
 
0.7%
3차년도 8
 
0.3%
1차년도 7
 
0.3%
기타(3차연도) 6
 
0.3%
재지정 4
 
0.2%
Other values (3) 5
 
0.2%

Length

2024-05-18T17:57:47.642306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자립형 1004
43.1%
기타 526
22.6%
신규 418
18.0%
2차연도 315
 
13.5%
기타(1차연도 17
 
0.7%
2차년도 17
 
0.7%
3차년도 8
 
0.3%
1차년도 7
 
0.3%
기타(3차연도 6
 
0.3%
재지정 4
 
0.2%
Other values (3) 5
 
0.2%

법인명
Text

Distinct1976
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:57:48.186585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length10.143962
Min length2

Characters and Unicode

Total characters23605
Distinct characters681
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1629 ?
Unique (%)70.0%

Sample

1st row무수천하마을 영농조합법인
2nd row미메시스 협동조합
3rd row나무시어터사회적협동조합
4th row어남약쑥 영농조합법인
5th row농촌유학 정남진 협동조합
ValueCountFrequency (%)
영농조합법인 199
 
6.5%
협동조합 134
 
4.4%
농업회사법인 89
 
2.9%
주식회사 88
 
2.9%
사회적협동조합 26
 
0.8%
영농조합 13
 
0.4%
유한회사 13
 
0.4%
사단법인 7
 
0.2%
마을공동체 4
 
0.1%
영어조합법인 4
 
0.1%
Other values (2100) 2483
81.1%
2024-05-18T17:57:49.116658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 1661
 
7.0%
합 1647
 
7.0%
농 1117
 
4.7%
인 1053
 
4.5%
법 976
 
4.1%
동 958
 
4.1%
영 931
 
3.9%
협 785
 
3.3%
735
 
3.1%
마 616
 
2.6%
Other values (671) 13126
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22276
94.4%
Space Separator 735
 
3.1%
Other Symbol 244
 
1.0%
Close Punctuation 136
 
0.6%
Open Punctuation 131
 
0.6%
Decimal Number 66
 
0.3%
Uppercase Letter 15
 
0.1%
Lowercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 1661
 
7.5%
합 1647
 
7.4%
농 1117
 
5.0%
인 1053
 
4.7%
법 976
 
4.4%
동 958
 
4.3%
영 931
 
4.2%
협 785
 
3.5%
마 616
 
2.8%
사 544
 
2.4%
Other values (646) 11988
53.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
G 2
13.3%
W 2
13.3%
C 2
13.3%
O 1
 
6.7%
Y 1
 
6.7%
E 1
 
6.7%
M 1
 
6.7%
I 1
 
6.7%
T 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 19
28.8%
1 14
21.2%
4 10
15.2%
3 7
 
10.6%
5 4
 
6.1%
0 4
 
6.1%
9 3
 
4.5%
7 3
 
4.5%
8 2
 
3.0%
Space Separator
ValueCountFrequency (%)
735
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22520
95.4%
Common 1069
 
4.5%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 1661
 
7.4%
합 1647
 
7.3%
농 1117
 
5.0%
인 1053
 
4.7%
법 976
 
4.3%
동 958
 
4.3%
영 931
 
4.1%
협 785
 
3.5%
마 616
 
2.7%
사 544
 
2.4%
Other values (647) 12232
54.3%
Common
ValueCountFrequency (%)
735
68.8%
) 136
 
12.7%
( 131
 
12.3%
2 19
 
1.8%
1 14
 
1.3%
4 10
 
0.9%
3 7
 
0.7%
5 4
 
0.4%
0 4
 
0.4%
9 3
 
0.3%
Other values (3) 6
 
0.6%
Latin
ValueCountFrequency (%)
A 3
18.8%
G 2
12.5%
W 2
12.5%
C 2
12.5%
O 1
 
6.2%
n 1
 
6.2%
Y 1
 
6.2%
E 1
 
6.2%
M 1
 
6.2%
I 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22276
94.4%
ASCII 1085
 
4.6%
None 244
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 1661
 
7.5%
합 1647
 
7.4%
농 1117
 
5.0%
인 1053
 
4.7%
법 976
 
4.4%
동 958
 
4.3%
영 931
 
4.2%
협 785
 
3.5%
마 616
 
2.8%
사 544
 
2.4%
Other values (646) 11988
53.8%
ASCII
ValueCountFrequency (%)
735
67.7%
) 136
 
12.5%
( 131
 
12.1%
2 19
 
1.8%
1 14
 
1.3%
4 10
 
0.9%
3 7
 
0.6%
5 4
 
0.4%
0 4
 
0.4%
A 3
 
0.3%
Other values (14) 22
 
2.0%
None
ValueCountFrequency (%)
㈜ 244
100.0%

법인형태구분
Categorical

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
영농조합
895 
협동조합
773 
주식회사
431 
기타
158 
사단법인
 
48
Other values (8)
 
22

Length

Max length15
Median length4
Mean length3.8917061
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영농조합 895
38.5%
협동조합 773
33.2%
주식회사 431
18.5%
기타 158
 
6.8%
사단법인 48
 
2.1%
재단법인 9
 
0.4%
기타(사회적협동조합) 3
 
0.1%
기타(농업회사법인 주식회사) 3
 
0.1%
영어조합 2
 
0.1%
농업회사법인 2
 
0.1%
Other values (3) 3
 
0.1%

Length

2024-05-18T17:57:49.557510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영농조합 895
38.4%
협동조합 773
33.2%
주식회사 434
18.6%
기타 158
 
6.8%
사단법인 48
 
2.1%
재단법인 9
 
0.4%
기타(사회적협동조합 3
 
0.1%
기타(농업회사법인 3
 
0.1%
영어조합 2
 
0.1%
농업회사법인 2
 
0.1%
Other values (3) 3
 
0.1%

소재지도로명주소
Text

Distinct2090
Distinct (%)90.4%
Missing15
Missing (%)0.6%
Memory size18.3 KiB
2024-05-18T17:57:50.852771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length21.814014
Min length13

Characters and Unicode

Total characters50434
Distinct characters472
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1873 ?
Unique (%)81.0%

Sample

1st row대전광역시 중구 운남로 85번길 5
2nd row대전광역시 중구 보문로 260번길 30, 영광빌딩 4층
3rd row대전광역시 중구 보문로 276
4th row대전광역시 중구 단재로 490-18
5th row전라남도 장흥군 장평면 우산병동길106-1
ValueCountFrequency (%)
전라남도 257
 
2.3%
경기도 226
 
2.0%
충청북도 185
 
1.7%
강원도 184
 
1.6%
전라북도 161
 
1.4%
경상북도 158
 
1.4%
광주광역시 151
 
1.4%
충청남도 142
 
1.3%
경상남도 131
 
1.2%
대전광역시 128
 
1.1%
Other values (3960) 9448
84.6%
2024-05-18T17:57:52.816566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8860
 
17.6%
1 1877
 
3.7%
도 1728
 
3.4%
시 1540
 
3.1%
길 1422
 
2.8%
로 1402
 
2.8%
2 1253
 
2.5%
면 1113
 
2.2%
구 949
 
1.9%
3 922
 
1.8%
Other values (462) 29368
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31515
62.5%
Space Separator 8860
 
17.6%
Decimal Number 8517
 
16.9%
Dash Punctuation 786
 
1.6%
Other Punctuation 255
 
0.5%
Close Punctuation 244
 
0.5%
Open Punctuation 244
 
0.5%
Uppercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1728
 
5.5%
시 1540
 
4.9%
길 1422
 
4.5%
로 1402
 
4.4%
면 1113
 
3.5%
구 949
 
3.0%
군 914
 
2.9%
광 854
 
2.7%
남 804
 
2.6%
북 764
 
2.4%
Other values (443) 20025
63.5%
Decimal Number
ValueCountFrequency (%)
1 1877
22.0%
2 1253
14.7%
3 922
10.8%
5 761
8.9%
4 753
8.8%
0 658
 
7.7%
6 655
 
7.7%
7 625
 
7.3%
8 527
 
6.2%
9 486
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 253
99.2%
. 2
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
77.8%
A 2
 
22.2%
Space Separator
ValueCountFrequency (%)
8860
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 786
100.0%
Close Punctuation
ValueCountFrequency (%)
) 244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 244
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31515
62.5%
Common 18910
37.5%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1728
 
5.5%
시 1540
 
4.9%
길 1422
 
4.5%
로 1402
 
4.4%
면 1113
 
3.5%
구 949
 
3.0%
군 914
 
2.9%
광 854
 
2.7%
남 804
 
2.6%
북 764
 
2.4%
Other values (443) 20025
63.5%
Common
ValueCountFrequency (%)
8860
46.9%
1 1877
 
9.9%
2 1253
 
6.6%
3 922
 
4.9%
- 786
 
4.2%
5 761
 
4.0%
4 753
 
4.0%
0 658
 
3.5%
6 655
 
3.5%
7 625
 
3.3%
Other values (7) 1760
 
9.3%
Latin
ValueCountFrequency (%)
B 7
77.8%
A 2
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31515
62.5%
ASCII 18919
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8860
46.8%
1 1877
 
9.9%
2 1253
 
6.6%
3 922
 
4.9%
- 786
 
4.2%
5 761
 
4.0%
4 753
 
4.0%
0 658
 
3.5%
6 655
 
3.5%
7 625
 
3.3%
Other values (9) 1769
 
9.4%
Hangul
ValueCountFrequency (%)
도 1728
 
5.5%
시 1540
 
4.9%
길 1422
 
4.5%
로 1402
 
4.4%
면 1113
 
3.5%
구 949
 
3.0%
군 914
 
2.9%
광 854
 
2.7%
남 804
 
2.6%
북 764
 
2.4%
Other values (443) 20025
63.5%

소재지지번주소
Text

MISSING 

Distinct1355
Distinct (%)93.2%
Missing873
Missing (%)37.5%
Memory size18.3 KiB
2024-05-18T17:57:53.784011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length20.584594
Min length14

Characters and Unicode

Total characters29930
Distinct characters323
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

Unique1260 ?
Unique (%)86.7%

Sample

1st row대전광역시 중구 무수동 302-9
2nd row대전광역시 중구 대흥동 476-1, 4층
3rd row대전광역시 중구 선화동 286-7
4th row대전광역시 중구 어남동 109-2
5th row경상남도 거제시 거제면 옥산리 899-2
ValueCountFrequency (%)
경기도 179
 
2.6%
대전광역시 130
 
1.9%
경상북도 128
 
1.9%
강원도 125
 
1.8%
전라북도 103
 
1.5%
전라남도 101
 
1.5%
경상남도 94
 
1.4%
충청남도 94
 
1.4%
대구광역시 88
 
1.3%
강원특별자치도 71
 
1.0%
Other values (2705) 5652
83.5%
2024-05-18T17:57:55.079995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5311
 
17.7%
1 1179
 
3.9%
도 1079
 
3.6%
- 1029
 
3.4%
시 992
 
3.3%
동 861
 
2.9%
리 847
 
2.8%
2 741
 
2.5%
면 685
 
2.3%
구 627
 
2.1%
Other values (313) 16579
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17791
59.4%
Decimal Number 5761
 
19.2%
Space Separator 5311
 
17.7%
Dash Punctuation 1029
 
3.4%
Other Punctuation 31
 
0.1%
Uppercase Letter 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1079
 
6.1%
시 992
 
5.6%
동 861
 
4.8%
리 847
 
4.8%
면 685
 
3.9%
구 627
 
3.5%
광 521
 
2.9%
군 519
 
2.9%
전 452
 
2.5%
북 450
 
2.5%
Other values (295) 10758
60.5%
Decimal Number
ValueCountFrequency (%)
1 1179
20.5%
2 741
12.9%
3 605
10.5%
4 562
9.8%
5 524
9.1%
7 475
8.2%
6 453
 
7.9%
8 427
 
7.4%
0 400
 
6.9%
9 395
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
F 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
5311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1029
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17791
59.4%
Common 12136
40.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1079
 
6.1%
시 992
 
5.6%
동 861
 
4.8%
리 847
 
4.8%
면 685
 
3.9%
구 627
 
3.5%
광 521
 
2.9%
군 519
 
2.9%
전 452
 
2.5%
북 450
 
2.5%
Other values (295) 10758
60.5%
Common
ValueCountFrequency (%)
5311
43.8%
1 1179
 
9.7%
- 1029
 
8.5%
2 741
 
6.1%
3 605
 
5.0%
4 562
 
4.6%
5 524
 
4.3%
7 475
 
3.9%
6 453
 
3.7%
8 427
 
3.5%
Other values (5) 830
 
6.8%
Latin
ValueCountFrequency (%)
A 1
33.3%
F 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17791
59.4%
ASCII 12139
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5311
43.8%
1 1179
 
9.7%
- 1029
 
8.5%
2 741
 
6.1%
3 605
 
5.0%
4 562
 
4.6%
5 524
 
4.3%
7 475
 
3.9%
6 453
 
3.7%
8 427
 
3.5%
Other values (8) 833
 
6.9%
Hangul
ValueCountFrequency (%)
도 1079
 
6.1%
시 992
 
5.6%
동 861
 
4.8%
리 847
 
4.8%
면 685
 
3.9%
구 627
 
3.5%
광 521
 
2.9%
군 519
 
2.9%
전 452
 
2.5%
북 450
 
2.5%
Other values (295) 10758
60.5%

위도
Real number (ℝ)

MISSING 

Distinct1700
Distinct (%)86.8%
Missing369
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean36.28857
Minimum33.118056
Maximum38.487316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2024-05-18T17:57:55.609838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.118056
5-th percentile34.748487
Q135.44086
median36.288708
Q337.297325
95-th percentile37.885682
Maximum38.487316
Range5.3692594
Interquartile range (IQR)1.8564642

Descriptive statistics

Standard deviation1.0791736
Coefficient of variation (CV)0.029738664
Kurtosis-0.50824087
Mean36.28857
Median Absolute Deviation (MAD)0.91819146
Skewness-0.22389606
Sum71053.02
Variance1.1646156
MonotonicityNot monotonic
2024-05-18T17:57:56.150680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.99368195 4
 
0.2%
36.38614904 3
 
0.1%
35.18053976 3
 
0.1%
36.63823993 3
 
0.1%
37.48262747 2
 
0.1%
35.58191835 2
 
0.1%
37.50252102 2
 
0.1%
37.37541272 2
 
0.1%
37.36350718 2
 
0.1%
37.31896245 2
 
0.1%
Other values (1690) 1933
83.1%
(Missing) 369
 
15.9%
ValueCountFrequency (%)
33.1180564 1
< 0.1%
33.173356 1
< 0.1%
33.21245782 1
< 0.1%
33.23519825 1
< 0.1%
33.24106111 1
< 0.1%
33.26428538 1
< 0.1%
33.27467504 1
< 0.1%
33.2794713 1
< 0.1%
33.29480908 1
< 0.1%
33.29720105 1
< 0.1%
ValueCountFrequency (%)
38.4873158 2
0.1%
38.32627745 1
< 0.1%
38.3262774476 1
< 0.1%
38.26851389 2
0.1%
38.26838089 2
0.1%
38.26482289 2
0.1%
38.25358682 2
0.1%
38.24588063 2
0.1%
38.2272227 2
0.1%
38.21733793 2
0.1%

경도
Real number (ℝ)

MISSING 

Distinct1698
Distinct (%)86.7%
Missing369
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean127.5849
Minimum124.66455
Maximum130.90653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2024-05-18T17:57:56.586020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.66455
5-th percentile126.48803
Q1126.92724
median127.43567
Q3128.30039
95-th percentile129.01943
Maximum130.90653
Range6.2419783
Interquartile range (IQR)1.3731514

Descriptive statistics

Standard deviation0.8051048
Coefficient of variation (CV)0.0063103453
Kurtosis-0.67811302
Mean127.5849
Median Absolute Deviation (MAD)0.5598751
Skewness0.4213362
Sum249811.24
Variance0.64819373
MonotonicityNot monotonic
2024-05-18T17:57:57.102217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2231744 4
 
0.2%
127.3179624 3
 
0.1%
126.8013415 3
 
0.1%
128.6340049 2
 
0.1%
128.9079251 2
 
0.1%
128.6065981 2
 
0.1%
128.5931441 2
 
0.1%
128.6927474 2
 
0.1%
128.6154055 2
 
0.1%
128.6280164 2
 
0.1%
Other values (1688) 1934
83.1%
(Missing) 369
 
15.9%
ValueCountFrequency (%)
124.6645537 1
< 0.1%
125.192633 1
< 0.1%
126.0292016 1
< 0.1%
126.0704505 1
< 0.1%
126.1042953 1
< 0.1%
126.105411 1
< 0.1%
126.1070547 1
< 0.1%
126.1105806 1
< 0.1%
126.1118565 1
< 0.1%
126.1212183 1
< 0.1%
ValueCountFrequency (%)
130.906532 1
< 0.1%
129.457469 1
< 0.1%
129.4562661 1
< 0.1%
129.430022 1
< 0.1%
129.4292067 1
< 0.1%
129.4283356 1
< 0.1%
129.4275476 1
< 0.1%
129.4254611 1
< 0.1%
129.4240195 1
< 0.1%
129.423241 1
< 0.1%

마을기업설립연월
Date

MISSING 

Distinct201
Distinct (%)11.5%
Missing584
Missing (%)25.1%
Memory size18.3 KiB
Minimum1997-02-01 00:00:00
Maximum2023-12-01 00:00:00
2024-05-18T17:57:57.562849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:57:58.408440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마을기업인증연월
Date

Distinct167
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
Minimum1905-07-01 00:00:00
Maximum2027-06-01 00:00:00
2024-05-18T17:57:58.836777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:57:59.403143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마을기업대표자명
Text

Distinct1829
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:58:00.462146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.0077353
Min length2

Characters and Unicode

Total characters6999
Distinct characters243
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1368 ?
Unique (%)58.8%

Sample

1st row권용제
2nd row최혜영
3rd row남명옥
4th row김길관
5th row류언근
ValueCountFrequency (%)
김명수 5
 
0.2%
김태훈 4
 
0.2%
김미숙 4
 
0.2%
김영미 4
 
0.2%
이홍우 4
 
0.2%
김문희 3
 
0.1%
김정호 3
 
0.1%
김창기 3
 
0.1%
이숙희 3
 
0.1%
김종현 3
 
0.1%
Other values (1821) 2294
98.5%
2024-05-18T17:58:01.804465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 493
 
7.0%
이 379
 
5.4%
정 255
 
3.6%
영 193
 
2.8%
박 165
 
2.4%
희 140
 
2.0%
수 129
 
1.8%
성 126
 
1.8%
경 119
 
1.7%
최 115
 
1.6%
Other values (233) 4885
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6986
99.8%
Space Separator 7
 
0.1%
Math Symbol 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 493
 
7.1%
이 379
 
5.4%
정 255
 
3.7%
영 193
 
2.8%
박 165
 
2.4%
희 140
 
2.0%
수 129
 
1.8%
성 126
 
1.8%
경 119
 
1.7%
최 115
 
1.6%
Other values (230) 4872
69.7%
Space Separator
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6986
99.8%
Common 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 493
 
7.1%
이 379
 
5.4%
정 255
 
3.7%
영 193
 
2.8%
박 165
 
2.4%
희 140
 
2.0%
수 129
 
1.8%
성 126
 
1.8%
경 119
 
1.7%
최 115
 
1.6%
Other values (230) 4872
69.7%
Common
ValueCountFrequency (%)
7
53.8%
+ 3
23.1%
, 3
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6986
99.8%
ASCII 13
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 493
 
7.1%
이 379
 
5.4%
정 255
 
3.7%
영 193
 
2.8%
박 165
 
2.4%
희 140
 
2.0%
수 129
 
1.8%
성 126
 
1.8%
경 119
 
1.7%
최 115
 
1.6%
Other values (230) 4872
69.7%
ASCII
ValueCountFrequency (%)
7
53.8%
+ 3
23.1%
, 3
23.1%

마을기업대표전화번호
Text

Distinct1440
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:58:02.328967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.142673
Min length9

Characters and Unicode

Total characters28256
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

Unique1143 ?
Unique (%)49.1%

Sample

1st row042-285-5557
2nd row042-257-1231
3rd row042-253-1452
4th row042-271-0887
5th row000-000-0000
ValueCountFrequency (%)
000-0000-0000 256
 
11.0%
000-000-0000 105
 
4.5%
062-000-0000 58
 
2.5%
033-000-0000 21
 
0.9%
055-000-0000 16
 
0.7%
042-000-0000 14
 
0.6%
043-000-0000 14
 
0.6%
061-270-8789 13
 
0.6%
054-639-6143 13
 
0.6%
055-940-3352 12
 
0.5%
Other values (1430) 1805
77.6%
2024-05-18T17:58:03.471817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8406
29.7%
- 4646
16.4%
3 2724
 
9.6%
2 1942
 
6.9%
5 1876
 
6.6%
6 1764
 
6.2%
4 1718
 
6.1%
1 1624
 
5.7%
7 1400
 
5.0%
8 1286
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23610
83.6%
Dash Punctuation 4646
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8406
35.6%
3 2724
 
11.5%
2 1942
 
8.2%
5 1876
 
7.9%
6 1764
 
7.5%
4 1718
 
7.3%
1 1624
 
6.9%
7 1400
 
5.9%
8 1286
 
5.4%
9 870
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 4646
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28256
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8406
29.7%
- 4646
16.4%
3 2724
 
9.6%
2 1942
 
6.9%
5 1876
 
6.6%
6 1764
 
6.2%
4 1718
 
6.1%
1 1624
 
5.7%
7 1400
 
5.0%
8 1286
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8406
29.7%
- 4646
16.4%
3 2724
 
9.6%
2 1942
 
6.9%
5 1876
 
6.6%
6 1764
 
6.2%
4 1718
 
6.1%
1 1624
 
5.7%
7 1400
 
5.0%
8 1286
 
4.6%

마을기업홈페이지
Text

MISSING 

Distinct291
Distinct (%)78.2%
Missing1955
Missing (%)84.0%
Memory size18.3 KiB
2024-05-18T17:58:04.322855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length52
Mean length24.733871
Min length1

Characters and Unicode

Total characters9201
Distinct characters134
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)61.8%

Sample

1st rowhttps://musu.modoo.at/
2nd rowhttp://cafe.daum.net/gestues
3rd rowhttps://namucoop.modoo.at/
4th rowhttp://cafe.naver.com/awormwood
5th rowhttp://camellia.invil.org
ValueCountFrequency (%)
10
 
2.7%
www.yeonsu.go.kr/se 8
 
2.1%
없음 7
 
1.9%
해당없음 4
 
1.1%
http://해맑은화진포.com 2
 
0.5%
http://www.solnaemall.com 2
 
0.5%
https://kongmaeul.com 2
 
0.5%
https://blog.naver.com/iworkkorea 2
 
0.5%
http://ilovetree.kr 2
 
0.5%
http://gnlove.co.kr 2
 
0.5%
Other values (281) 332
89.0%
2024-05-18T17:58:05.754401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 770
 
8.4%
o 757
 
8.2%
t 742
 
8.1%
. 736
 
8.0%
w 458
 
5.0%
a 433
 
4.7%
h 385
 
4.2%
m 376
 
4.1%
e 358
 
3.9%
r 357
 
3.9%
Other values (124) 3829
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6819
74.1%
Other Punctuation 1797
 
19.5%
Decimal Number 345
 
3.7%
Other Letter 147
 
1.6%
Dash Punctuation 26
 
0.3%
Math Symbol 26
 
0.3%
Uppercase Letter 25
 
0.3%
Connector Punctuation 13
 
0.1%
Space Separator 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 11
 
7.5%
없 11
 
7.5%
해 7
 
4.8%
을 5
 
3.4%
마 5
 
3.4%
당 4
 
2.7%
미 4
 
2.7%
진 4
 
2.7%
화 4
 
2.7%
들 3
 
2.0%
Other values (67) 89
60.5%
Lowercase Letter
ValueCountFrequency (%)
o 757
 
11.1%
t 742
 
10.9%
w 458
 
6.7%
a 433
 
6.3%
h 385
 
5.6%
m 376
 
5.5%
e 358
 
5.3%
r 357
 
5.2%
n 337
 
4.9%
p 329
 
4.8%
Other values (16) 2287
33.5%
Decimal Number
ValueCountFrequency (%)
1 52
15.1%
2 50
14.5%
5 40
11.6%
0 39
11.3%
3 36
10.4%
7 34
9.9%
4 32
9.3%
8 23
6.7%
9 21
6.1%
6 18
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
D 5
20.0%
C 5
20.0%
P 4
16.0%
V 3
12.0%
N 3
12.0%
I 2
 
8.0%
T 1
 
4.0%
S 1
 
4.0%
K 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 770
42.8%
. 736
41.0%
: 267
 
14.9%
? 18
 
1.0%
& 6
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 21
80.8%
+ 5
 
19.2%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6844
74.4%
Common 2210
 
24.0%
Hangul 147
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 11
 
7.5%
없 11
 
7.5%
해 7
 
4.8%
을 5
 
3.4%
마 5
 
3.4%
당 4
 
2.7%
미 4
 
2.7%
진 4
 
2.7%
화 4
 
2.7%
들 3
 
2.0%
Other values (67) 89
60.5%
Latin
ValueCountFrequency (%)
o 757
 
11.1%
t 742
 
10.8%
w 458
 
6.7%
a 433
 
6.3%
h 385
 
5.6%
m 376
 
5.5%
e 358
 
5.2%
r 357
 
5.2%
n 337
 
4.9%
p 329
 
4.8%
Other values (25) 2312
33.8%
Common
ValueCountFrequency (%)
/ 770
34.8%
. 736
33.3%
: 267
 
12.1%
1 52
 
2.4%
2 50
 
2.3%
5 40
 
1.8%
0 39
 
1.8%
3 36
 
1.6%
7 34
 
1.5%
4 32
 
1.4%
Other values (12) 154
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9054
98.4%
Hangul 147
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 770
 
8.5%
o 757
 
8.4%
t 742
 
8.2%
. 736
 
8.1%
w 458
 
5.1%
a 433
 
4.8%
h 385
 
4.3%
m 376
 
4.2%
e 358
 
4.0%
r 357
 
3.9%
Other values (47) 3682
40.7%
Hangul
ValueCountFrequency (%)
음 11
 
7.5%
없 11
 
7.5%
해 7
 
4.8%
을 5
 
3.4%
마 5
 
3.4%
당 4
 
2.7%
미 4
 
2.7%
진 4
 
2.7%
화 4
 
2.7%
들 3
 
2.0%
Other values (67) 89
60.5%

마을기업회원수
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)6.5%
Missing738
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean18.74764
Minimum0
Maximum920
Zeros5
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2024-05-18T17:58:06.239301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q16
median10
Q317
95-th percentile58
Maximum920
Range920
Interquartile range (IQR)11

Descriptive statistics

Standard deviation40.170887
Coefficient of variation (CV)2.142717
Kurtosis208.84858
Mean18.74764
Median Absolute Deviation (MAD)4
Skewness12.066592
Sum29790
Variance1613.7001
MonotonicityNot monotonic
2024-05-18T17:58:06.686417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 266
 
11.4%
10 210
 
9.0%
6 130
 
5.6%
7 99
 
4.3%
9 81
 
3.5%
11 80
 
3.4%
8 80
 
3.4%
12 54
 
2.3%
14 43
 
1.8%
15 43
 
1.8%
Other values (94) 503
21.6%
(Missing) 738
31.7%
ValueCountFrequency (%)
0 5
 
0.2%
1 7
 
0.3%
2 4
 
0.2%
3 8
 
0.3%
4 16
 
0.7%
5 266
11.4%
6 130
5.6%
7 99
 
4.3%
8 80
 
3.4%
9 81
 
3.5%
ValueCountFrequency (%)
920 1
< 0.1%
590 1
< 0.1%
435 1
< 0.1%
402 1
< 0.1%
397 1
< 0.1%
368 1
< 0.1%
300 2
0.1%
210 1
< 0.1%
200 1
< 0.1%
190 2
0.1%

마을기업목적사업
Text

Distinct1783
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:58:07.538893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length74
Mean length15.664375
Min length2

Characters and Unicode

Total characters36451
Distinct characters682
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1508 ?
Unique (%)64.8%

Sample

1st row농업농촌 교육프로그램 개발, 농촌관광 활성화 등
2nd row마임의 확대, 구성의 복리증진과 안정적인 일자리 창출
3rd row공연사업, 문화예술 기획사업 및 시설 운영사업 등
4th row마을기업 육성 및 일자리 창출
5th row감태김,감태자반제조
ValueCountFrequency (%)
및 731
 
8.4%
판매 486
 
5.6%
운영 187
 
2.1%
가공 137
 
1.6%
제조 137
 
1.6%
농산물 130
 
1.5%
생산 123
 
1.4%
등 111
 
1.3%
체험 84
 
1.0%
통한 69
 
0.8%
Other values (3073) 6517
74.8%
2024-05-18T17:58:09.142764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6394
 
17.5%
매 901
 
2.5%
판 847
 
2.3%
및 753
 
2.1%
공 734
 
2.0%
산 729
 
2.0%
업 609
 
1.7%
농 572
 
1.6%
제 553
 
1.5%
체 551
 
1.5%
Other values (672) 23808
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28706
78.8%
Space Separator 6394
 
17.5%
Other Punctuation 583
 
1.6%
Math Symbol 502
 
1.4%
Close Punctuation 82
 
0.2%
Open Punctuation 81
 
0.2%
Uppercase Letter 52
 
0.1%
Decimal Number 40
 
0.1%
Lowercase Letter 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
매 901
 
3.1%
판 847
 
3.0%
및 753
 
2.6%
공 734
 
2.6%
산 729
 
2.5%
업 609
 
2.1%
농 572
 
2.0%
제 553
 
1.9%
체 551
 
1.9%
사 477
 
1.7%
Other values (631) 21980
76.6%
Uppercase Letter
ValueCountFrequency (%)
D 11
21.2%
E 8
15.4%
M 7
13.5%
I 7
13.5%
Y 4
 
7.7%
C 3
 
5.8%
S 3
 
5.8%
T 2
 
3.8%
O 2
 
3.8%
N 2
 
3.8%
Other values (3) 3
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 12
30.0%
3 8
20.0%
2 5
12.5%
6 5
12.5%
0 2
 
5.0%
7 2
 
5.0%
5 2
 
5.0%
4 2
 
5.0%
8 1
 
2.5%
9 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 470
80.6%
· 70
 
12.0%
. 34
 
5.8%
/ 7
 
1.2%
& 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
e 1
16.7%
h 1
16.7%
p 1
16.7%
s 1
16.7%
Math Symbol
ValueCountFrequency (%)
+ 501
99.8%
~ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
6394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28706
78.8%
Common 7687
 
21.1%
Latin 58
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
매 901
 
3.1%
판 847
 
3.0%
및 753
 
2.6%
공 734
 
2.6%
산 729
 
2.5%
업 609
 
2.1%
농 572
 
2.0%
제 553
 
1.9%
체 551
 
1.9%
사 477
 
1.7%
Other values (631) 21980
76.6%
Common
ValueCountFrequency (%)
6394
83.2%
+ 501
 
6.5%
, 470
 
6.1%
) 82
 
1.1%
( 81
 
1.1%
· 70
 
0.9%
. 34
 
0.4%
1 12
 
0.2%
3 8
 
0.1%
/ 7
 
0.1%
Other values (13) 28
 
0.4%
Latin
ValueCountFrequency (%)
D 11
19.0%
E 8
13.8%
M 7
12.1%
I 7
12.1%
Y 4
 
6.9%
C 3
 
5.2%
S 3
 
5.2%
T 2
 
3.4%
O 2
 
3.4%
o 2
 
3.4%
Other values (8) 9
15.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28702
78.7%
ASCII 7673
 
21.1%
None 70
 
0.2%
Compat Jamo 4
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6394
83.3%
+ 501
 
6.5%
, 470
 
6.1%
) 82
 
1.1%
( 81
 
1.1%
. 34
 
0.4%
1 12
 
0.2%
D 11
 
0.1%
E 8
 
0.1%
3 8
 
0.1%
Other values (28) 72
 
0.9%
Hangul
ValueCountFrequency (%)
매 901
 
3.1%
판 847
 
3.0%
및 753
 
2.6%
공 734
 
2.6%
산 729
 
2.5%
업 609
 
2.1%
농 572
 
2.0%
제 553
 
1.9%
체 551
 
1.9%
사 477
 
1.7%
Other values (630) 21976
76.6%
None
ValueCountFrequency (%)
· 70
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

마을기업주요상품
Text

Distinct1739
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:58:09.919681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length40
Mean length9.345939
Min length1

Characters and Unicode

Total characters21748
Distinct characters653
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1420 ?
Unique (%)61.0%

Sample

1st row민들레+삼채+부추+고구마 등
2nd row마임워크숍+공연 등
3rd row연극공연+문화예술교육+지역문화축제기획
4th row약쑥재배+건조+유통판매 등
5th row감태
ValueCountFrequency (%)
및 245
 
5.3%
판매 185
 
4.0%
등 119
 
2.6%
농산물 112
 
2.4%
체험 74
 
1.6%
운영 64
 
1.4%
제조 54
 
1.2%
가공 47
 
1.0%
생산 43
 
0.9%
절임배추 39
 
0.8%
Other values (2167) 3651
78.8%
2024-05-18T17:58:11.623043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2316
 
10.6%
+ 1054
 
4.8%
산 405
 
1.9%
, 405
 
1.9%
체 397
 
1.8%
험 385
 
1.8%
공 367
 
1.7%
농 365
 
1.7%
매 360
 
1.7%
물 344
 
1.6%
Other values (643) 15350
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17700
81.4%
Space Separator 2316
 
10.6%
Math Symbol 1054
 
4.8%
Other Punctuation 450
 
2.1%
Open Punctuation 83
 
0.4%
Close Punctuation 83
 
0.4%
Uppercase Letter 43
 
0.2%
Decimal Number 12
 
0.1%
Initial Punctuation 2
 
< 0.1%
Final Punctuation 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 405
 
2.3%
체 397
 
2.2%
험 385
 
2.2%
공 367
 
2.1%
농 365
 
2.1%
매 360
 
2.0%
물 344
 
1.9%
판 328
 
1.9%
장 324
 
1.8%
제 321
 
1.8%
Other values (613) 14104
79.7%
Uppercase Letter
ValueCountFrequency (%)
E 10
23.3%
M 9
20.9%
D 7
16.3%
I 5
11.6%
Y 4
 
9.3%
S 3
 
7.0%
L 1
 
2.3%
N 1
 
2.3%
W 1
 
2.3%
C 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 405
90.0%
· 17
 
3.8%
/ 15
 
3.3%
. 9
 
2.0%
? 4
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
3 3
25.0%
5 2
16.7%
4 2
16.7%
2 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
2316
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1054
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17699
81.4%
Common 4003
 
18.4%
Latin 45
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 405
 
2.3%
체 397
 
2.2%
험 385
 
2.2%
공 367
 
2.1%
농 365
 
2.1%
매 360
 
2.0%
물 344
 
1.9%
판 328
 
1.9%
장 324
 
1.8%
제 321
 
1.8%
Other values (612) 14103
79.7%
Common
ValueCountFrequency (%)
2316
57.9%
+ 1054
26.3%
, 405
 
10.1%
( 83
 
2.1%
) 83
 
2.1%
· 17
 
0.4%
/ 15
 
0.4%
. 9
 
0.2%
1 4
 
0.1%
? 4
 
0.1%
Other values (7) 13
 
0.3%
Latin
ValueCountFrequency (%)
E 10
22.2%
M 9
20.0%
D 7
15.6%
I 5
11.1%
Y 4
 
8.9%
S 3
 
6.7%
L 1
 
2.2%
N 1
 
2.2%
W 1
 
2.2%
c 1
 
2.2%
Other values (3) 3
 
6.7%
Han
ValueCountFrequency (%)
茶 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17696
81.4%
ASCII 4027
 
18.5%
None 17
 
0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2316
57.5%
+ 1054
26.2%
, 405
 
10.1%
( 83
 
2.1%
) 83
 
2.1%
/ 15
 
0.4%
E 10
 
0.2%
. 9
 
0.2%
M 9
 
0.2%
D 7
 
0.2%
Other values (17) 36
 
0.9%
Hangul
ValueCountFrequency (%)
산 405
 
2.3%
체 397
 
2.2%
험 385
 
2.2%
공 367
 
2.1%
농 365
 
2.1%
매 360
 
2.0%
물 344
 
1.9%
판 328
 
1.9%
장 324
 
1.8%
제 321
 
1.8%
Other values (611) 14100
79.7%
None
ValueCountFrequency (%)
· 17
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Punctuation
ValueCountFrequency (%)
‘ 2
50.0%
’ 2
50.0%
CJK
ValueCountFrequency (%)
茶 1
100.0%

상품관련인증정보
Text

MISSING 

Distinct68
Distinct (%)51.5%
Missing2195
Missing (%)94.3%
Memory size18.3 KiB
2024-05-18T17:58:12.343745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length58
Mean length15.098485
Min length2

Characters and Unicode

Total characters1993
Distinct characters245
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

Unique45 ?
Unique (%)34.1%

Sample

1st rowKOR/FSMS/00095(인증일2016-08-05)
2nd row유기농 쌀,포도, 배, 무농약 배
3rd row농촌진흥청 실용화재단기술이전(국유특허)+친환경 무농약인증+제조가공 취급자 인증+우수마을기업 인증(2011년)+GAP농산물우수관리인증서
4th row무농약인증(연잎)+식역처장상(연잎차)+2015발효엑스포 선정 우수상품상
5th row친환경+녹색식당
ValueCountFrequency (%)
해당없음 30
 
9.5%
인증 14
 
4.4%
및 7
 
2.2%
해당사항 5
 
1.6%
없음 5
 
1.6%
등 5
 
1.6%
haccp인증 4
 
1.3%
6차산업 4
 
1.3%
농촌융복합산업인증(2015 4
 
1.3%
특허 4
 
1.3%
Other values (160) 234
74.1%
2024-05-18T17:58:13.519470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
9.2%
0 75
 
3.8%
1 57
 
2.9%
증 56
 
2.8%
인 49
 
2.5%
업 47
 
2.4%
2 42
 
2.1%
제 38
 
1.9%
품 37
 
1.9%
당 36
 
1.8%
Other values (235) 1372
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
65.2%
Decimal Number 281
 
14.1%
Space Separator 184
 
9.2%
Uppercase Letter 75
 
3.8%
Other Punctuation 34
 
1.7%
Open Punctuation 31
 
1.6%
Close Punctuation 31
 
1.6%
Math Symbol 29
 
1.5%
Dash Punctuation 21
 
1.1%
Lowercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
증 56
 
4.3%
인 49
 
3.8%
업 47
 
3.6%
제 38
 
2.9%
품 37
 
2.8%
당 36
 
2.8%
해 35
 
2.7%
없 35
 
2.7%
음 35
 
2.7%
등 34
 
2.6%
Other values (196) 898
69.1%
Uppercase Letter
ValueCountFrequency (%)
C 18
24.0%
A 14
18.7%
P 11
14.7%
H 9
12.0%
O 5
 
6.7%
S 4
 
5.3%
D 3
 
4.0%
T 2
 
2.7%
F 2
 
2.7%
I 2
 
2.7%
Other values (4) 5
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 75
26.7%
1 57
20.3%
2 42
14.9%
5 21
 
7.5%
9 17
 
6.0%
6 16
 
5.7%
4 16
 
5.7%
7 13
 
4.6%
8 13
 
4.6%
3 11
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
f 2
28.6%
c 2
28.6%
k 1
14.3%
e 1
14.3%
o 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 25
73.5%
. 4
 
11.8%
: 3
 
8.8%
/ 2
 
5.9%
Math Symbol
ValueCountFrequency (%)
+ 27
93.1%
~ 2
 
6.9%
Space Separator
ValueCountFrequency (%)
184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1300
65.2%
Common 611
30.7%
Latin 82
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
증 56
 
4.3%
인 49
 
3.8%
업 47
 
3.6%
제 38
 
2.9%
품 37
 
2.8%
당 36
 
2.8%
해 35
 
2.7%
없 35
 
2.7%
음 35
 
2.7%
등 34
 
2.6%
Other values (196) 898
69.1%
Common
ValueCountFrequency (%)
184
30.1%
0 75
12.3%
1 57
 
9.3%
2 42
 
6.9%
( 31
 
5.1%
) 31
 
5.1%
+ 27
 
4.4%
, 25
 
4.1%
5 21
 
3.4%
- 21
 
3.4%
Other values (10) 97
15.9%
Latin
ValueCountFrequency (%)
C 18
22.0%
A 14
17.1%
P 11
13.4%
H 9
11.0%
O 5
 
6.1%
S 4
 
4.9%
D 3
 
3.7%
T 2
 
2.4%
f 2
 
2.4%
F 2
 
2.4%
Other values (9) 12
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1300
65.2%
ASCII 693
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
26.6%
0 75
10.8%
1 57
 
8.2%
2 42
 
6.1%
( 31
 
4.5%
) 31
 
4.5%
+ 27
 
3.9%
, 25
 
3.6%
5 21
 
3.0%
- 21
 
3.0%
Other values (29) 179
25.8%
Hangul
ValueCountFrequency (%)
증 56
 
4.3%
인 49
 
3.8%
업 47
 
3.6%
제 38
 
2.9%
품 37
 
2.8%
당 36
 
2.8%
해 35
 
2.7%
없 35
 
2.7%
음 35
 
2.7%
등 34
 
2.6%
Other values (196) 898
69.1%

관리기관전화번호
Text

Distinct247
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:58:14.309951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004297
Min length11

Characters and Unicode

Total characters27934
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

Unique30 ?
Unique (%)1.3%

Sample

1st row042-606-7242
2nd row042-606-7242
3rd row042-606-7242
4th row042-606-7242
5th row061-860-0363
ValueCountFrequency (%)
043-220-2584 94
 
4.0%
062-613-1293 71
 
3.1%
061-749-5611 43
 
1.8%
044-300-4835 34
 
1.5%
033-330-2012 34
 
1.5%
042-606-7242 28
 
1.2%
063-539-8132 28
 
1.2%
033-560-2357 28
 
1.2%
033-737-2952 28
 
1.2%
063-290-2452 28
 
1.2%
Other values (237) 1911
82.1%
2024-05-18T17:58:15.622037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4654
16.7%
0 4386
15.7%
3 3456
12.4%
2 3023
10.8%
6 2462
8.8%
5 2306
8.3%
4 2294
8.2%
1 1736
 
6.2%
8 1328
 
4.8%
7 1164
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23280
83.3%
Dash Punctuation 4654
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4386
18.8%
3 3456
14.8%
2 3023
13.0%
6 2462
10.6%
5 2306
9.9%
4 2294
9.9%
1 1736
 
7.5%
8 1328
 
5.7%
7 1164
 
5.0%
9 1125
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 4654
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4654
16.7%
0 4386
15.7%
3 3456
12.4%
2 3023
10.8%
6 2462
8.8%
5 2306
8.3%
4 2294
8.2%
1 1736
 
6.2%
8 1328
 
4.8%
7 1164
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4654
16.7%
0 4386
15.7%
3 3456
12.4%
2 3023
10.8%
6 2462
8.8%
5 2306
8.3%
4 2294
8.2%
1 1736
 
6.2%
8 1328
 
4.8%
7 1164
 
4.2%

관리기관명
Text

Distinct236
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:58:16.303204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length9.1959605
Min length4

Characters and Unicode

Total characters21399
Distinct characters152
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

Unique11 ?
Unique (%)0.5%

Sample

1st row대전광역시 중구청
2nd row대전광역시 중구청
3rd row대전광역시 중구청
4th row대전광역시 중구청
5th row전라남도 장흥군청
ValueCountFrequency (%)
전라남도 243
 
5.3%
경기도 216
 
4.7%
강원도 164
 
3.6%
전라북도 161
 
3.5%
경상북도 159
 
3.5%
충청남도 144
 
3.2%
대전광역시 130
 
2.9%
경상남도 125
 
2.7%
대구광역시 106
 
2.3%
강원특별자치도 96
 
2.1%
Other values (225) 3006
66.1%
2024-05-18T17:58:17.527408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 2416
 
11.3%
2223
 
10.4%
도 1619
 
7.6%
시 1497
 
7.0%
군 833
 
3.9%
광 795
 
3.7%
구 671
 
3.1%
북 613
 
2.9%
남 609
 
2.8%
전 608
 
2.8%
Other values (142) 9515
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19176
89.6%
Space Separator 2223
 
10.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 2416
 
12.6%
도 1619
 
8.4%
시 1497
 
7.8%
군 833
 
4.3%
광 795
 
4.1%
구 671
 
3.5%
북 613
 
3.2%
남 609
 
3.2%
전 608
 
3.2%
경 575
 
3.0%
Other values (141) 8940
46.6%
Space Separator
ValueCountFrequency (%)
2223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19176
89.6%
Common 2223
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 2416
 
12.6%
도 1619
 
8.4%
시 1497
 
7.8%
군 833
 
4.3%
광 795
 
4.1%
구 671
 
3.5%
북 613
 
3.2%
남 609
 
3.2%
전 608
 
3.2%
경 575
 
3.0%
Other values (141) 8940
46.6%
Common
ValueCountFrequency (%)
2223
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19176
89.6%
ASCII 2223
 
10.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 2416
 
12.6%
도 1619
 
8.4%
시 1497
 
7.8%
군 833
 
4.3%
광 795
 
4.1%
구 671
 
3.5%
북 613
 
3.2%
남 609
 
3.2%
전 608
 
3.2%
경 575
 
3.0%
Other values (141) 8940
46.6%
ASCII
ValueCountFrequency (%)
2223
100.0%

데이터기준일자
Date

Distinct163
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
Minimum2018-08-10 00:00:00
Maximum2024-04-25 00:00:00
2024-05-18T17:58:18.242728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T17:58:18.822608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct248
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4633524.9
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2024-05-18T17:58:19.436343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3320000
Q13930000
median4610000
Q35150000
95-th percentile6430000
Maximum6520000
Range3520000
Interquartile range (IQR)1220000

Descriptive statistics

Standard deviation914220.08
Coefficient of variation (CV)0.19730553
Kurtosis-0.57903919
Mean4633524.9
Median Absolute Deviation (MAD)610000
Skewness0.36973852
Sum1.0782212 × 1010
Variance8.3579835 × 1011
MonotonicityNot monotonic
2024-05-18T17:58:19.976529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6430000 94
 
4.0%
6290000 71
 
3.1%
6300000 61
 
2.6%
4820000 43
 
1.8%
5690000 34
 
1.5%
4810000 26
 
1.1%
3470000 23
 
1.0%
5150000 23
 
1.0%
3670000 22
 
0.9%
6510000 21
 
0.9%
Other values (238) 1909
82.0%
ValueCountFrequency (%)
3000000 3
0.1%
3010000 2
 
0.1%
3020000 7
0.3%
3030000 4
0.2%
3040000 7
0.3%
3050000 3
0.1%
3060000 2
 
0.1%
3070000 7
0.3%
3080000 4
0.2%
3100000 1
 
< 0.1%
ValueCountFrequency (%)
6520000 21
 
0.9%
6510000 21
 
0.9%
6430000 94
4.0%
6300000 61
2.6%
6290000 71
3.1%
5710000 16
 
0.7%
5700000 16
 
0.7%
5690000 34
 
1.5%
5680000 6
 
0.3%
5670000 7
 
0.3%

제공기관명
Text

Distinct248
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2024-05-18T17:58:20.923868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.0124624
Min length4

Characters and Unicode

Total characters18645
Distinct characters135
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

Unique11 ?
Unique (%)0.5%

Sample

1st row대전광역시 중구
2nd row대전광역시 중구
3rd row대전광역시 중구
4th row대전광역시 중구
5th row전라남도 장흥군
ValueCountFrequency (%)
전라남도 259
 
5.9%
경기도 227
 
5.2%
충청북도 186
 
4.2%
경상북도 159
 
3.6%
광주광역시 151
 
3.4%
충청남도 144
 
3.3%
강원도 137
 
3.1%
강원특별자치도 133
 
3.0%
경상남도 132
 
3.0%
대전광역시 130
 
3.0%
Other values (204) 2736
62.3%
2024-05-18T17:58:22.100175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2067
 
11.1%
도 1650
 
8.8%
시 1477
 
7.9%
군 833
 
4.5%
광 795
 
4.3%
남 625
 
3.4%
전 624
 
3.3%
북 613
 
3.3%
구 610
 
3.3%
역 572
 
3.1%
Other values (125) 8779
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16578
88.9%
Space Separator 2067
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1650
 
10.0%
시 1477
 
8.9%
군 833
 
5.0%
광 795
 
4.8%
남 625
 
3.8%
전 624
 
3.8%
북 613
 
3.7%
구 610
 
3.7%
역 572
 
3.5%
경 539
 
3.3%
Other values (124) 8240
49.7%
Space Separator
ValueCountFrequency (%)
2067
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16578
88.9%
Common 2067
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1650
 
10.0%
시 1477
 
8.9%
군 833
 
5.0%
광 795
 
4.8%
남 625
 
3.8%
전 624
 
3.8%
북 613
 
3.7%
구 610
 
3.7%
역 572
 
3.5%
경 539
 
3.3%
Other values (124) 8240
49.7%
Common
ValueCountFrequency (%)
2067
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16578
88.9%
ASCII 2067
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2067
100.0%
Hangul
ValueCountFrequency (%)
도 1650
 
10.0%
시 1477
 
8.9%
군 833
 
5.0%
광 795
 
4.8%
남 625
 
3.8%
전 624
 
3.8%
북 613
 
3.7%
구 610
 
3.7%
역 572
 
3.5%
경 539
 
3.3%
Other values (124) 8240
49.7%

Sample

마을기업명마을기업구분법인명법인형태구분소재지도로명주소소재지지번주소위도경도마을기업설립연월마을기업인증연월마을기업대표자명마을기업대표전화번호마을기업홈페이지마을기업회원수마을기업목적사업마을기업주요상품상품관련인증정보관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
0무수천하마을 영농조합법인신규무수천하마을 영농조합법인영농조합대전광역시 중구 운남로 85번길 5대전광역시 중구 무수동 302-936.277272127.4069662016-012016-01권용제042-285-5557https://musu.modoo.at/28농업농촌 교육프로그램 개발, 농촌관광 활성화 등민들레+삼채+부추+고구마 등<NA>042-606-7242대전광역시 중구청2022-09-083650000대전광역시 중구
1창작컴퍼니 미메시스협동조합신규미메시스 협동조합협동조합대전광역시 중구 보문로 260번길 30, 영광빌딩 4층대전광역시 중구 대흥동 476-1, 4층36.326133127.4237742015-052015-05최혜영042-257-1231http://cafe.daum.net/gestues80마임의 확대, 구성의 복리증진과 안정적인 일자리 창출마임워크숍+공연 등<NA>042-606-7242대전광역시 중구청2022-09-083650000대전광역시 중구
2나무시어터사회적협동조합신규나무시어터사회적협동조합협동조합대전광역시 중구 보문로 276대전광역시 중구 선화동 286-736.327503127.4218342014-052014-05남명옥042-253-1452https://namucoop.modoo.at/17공연사업, 문화예술 기획사업 및 시설 운영사업 등연극공연+문화예술교육+지역문화축제기획<NA>042-606-7242대전광역시 중구청2022-09-083650000대전광역시 중구
3어남약쑥 영농조합법인신규어남약쑥 영농조합법인영농조합대전광역시 중구 단재로 490-18대전광역시 중구 어남동 109-236.213096127.4115952012-032012-03김길관042-271-0887http://cafe.naver.com/awormwood8마을기업 육성 및 일자리 창출약쑥재배+건조+유통판매 등<NA>042-606-7242대전광역시 중구청2022-09-083650000대전광역시 중구
4농촌유학 정남진 협동조합신규농촌유학 정남진 협동조합협동조합전라남도 장흥군 장평면 우산병동길106-1<NA>34.813988126.9226782022-042022-01류언근000-000-0000<NA><NA>감태김,감태자반제조감태<NA>061-860-0363전라남도 장흥군청2023-05-044910000전라남도 장흥군
5서천 동백꽃작목반 영농조합법인자립형서천 동백꽃작목반 영농조합법인영농조합충청남도 서천군 마서면 합전길 77<NA>36.048614126.6686792012-042012-04김오현041-952-6737http://camellia.invil.org25지역특산물 활성화를 위한 마을 공동농산물 판매사업농산물<NA>041-950-4126충청남도 서천군청2023-05-014580000충청남도 서천군
6송림영농조합법인자립형송림영농조합법인영농조합충청남도 서천군 장항읍 신화송로130번길 26<NA>36.020614126.6736292012-062012-06정혜은041-950-4131<NA>106에코테라피 솔바람마을 조성펜션<NA>041-950-4126충청남도 서천군청2023-05-014580000충청남도 서천군
7심동리 산촌 영농조합법인자립형심동리 산촌 영농조합법인영농조합충청남도 서천군 판교면 심동길 289<NA>36.170571126.6526592013-032013-03이여순041-951-1233<NA>14제사상차림 및 지역특산품 판매제사상차림<NA>041-950-4126충청남도 서천군청2023-05-014580000충청남도 서천군
8전통공예품마을신규한다공예영농조합법인영농조합충청남도 서천군 한산면 신성로 500<NA>36.067845126.8610452016-072016-07박예순041-952-5571<NA>10전통공예품 보존 및 생산판매공예품<NA>041-950-4126충청남도 서천군청2023-05-014580000충청남도 서천군
9서천연근영농조합법인신규서천연근영농조합법인영농조합충청남도 서천군 기산면 충절로 650<NA>36.07191126.7528122016-012016-01이정복041-951-9484<NA>10친환경 연근 가공상품 생산판매연근<NA>041-950-4126충청남도 서천군청2023-05-014580000충청남도 서천군
마을기업명마을기업구분법인명법인형태구분소재지도로명주소소재지지번주소위도경도마을기업설립연월마을기업인증연월마을기업대표자명마을기업대표전화번호마을기업홈페이지마을기업회원수마을기업목적사업마을기업주요상품상품관련인증정보관리기관전화번호관리기관명데이터기준일자제공기관코드제공기관명
2317천연애자립형홀트수영종합복지관사단법인부산광역시 수영구 장대골로20-5(광안동)<NA>35.159349129.111029<NA>2011-10황재필051-760-3610<NA><NA>홈메이드체험천연제품+커피제조체험해당없음051-610-4824부산광역시수영구2023-08-173380000부산광역시 수영구
2318오랜지바다자립형오랜지바다주식회사부산광역시 수영구 광안해변로245-1(민락동)<NA>35.154936129.120739<NA>2019-03김용훈051-758-5308www.orangebada.com<NA>친환경수공예관광기념품엽서+관광기념품판매해당없음051-610-4824부산광역시수영구2023-08-173380000부산광역시 수영구
2319길손공동체협동조합자립형길손공동체협동조합협동조합부산광역시 수영구 수영로691-8(수영동)<NA>35.168129129.115663<NA>2013-08송재섭051-743-4715js4715.alltheway.kr<NA>체험여행+캠핑용품관련온라인홍보및판매체험여행+캠핑용품판매해당없음051-610-4824부산광역시수영구2023-08-173380000부산광역시 수영구
2320㈜거제전통메주자립형㈜거제전통메주주식회사경상남도 거제시 동부면 삼거림1길 20경상남도 거제시 동부면 부춘리 78134.809991128.5982462023-052023-05김금자055-633-2270https://greenkongs.modoo.at7지역자원을 활용한 주민소득 창출전통메주/고추장/청국장/된장<NA>055-639-4094경상남도 거제시청2023-09-055370000경상남도 거제시
2321함목명품마을영어조합법인자립형함목명품마을영어조합영농조합경상남도 거제시 남부면 해금강로 17경상남도 거제시 남부면 갈곶리 376-1034.741379128.6526272023-122023-12신영길055-633-0620http://www.hammok.kr13지역자원을 활용한 주민소득 창출커피/음료<NA>055-639-4094경상남도 거제시청2023-09-055370000경상남도 거제시
2322영농조합법인해금강동백보존회자립형영농조합법인해금강동백보존회영농조합경상남도 거제시 남부면 해금강로 270경상남도 거제시 남부면 갈곶리 85-134.737805128.6731952023-062023-06김옥덕055-632-0555http://smartstore.naver.com/dongbaek2708지역자원을 활용한 주민소득 창출동백관련 제품(오일/화장품/악세서리)<NA>055-639-4094경상남도 거제시청2023-09-055370000경상남도 거제시
2323㈜체인지메이커신규㈜체인지메이커주식회사경상남도 거제시 옥포로 230경상남도 거제시 옥포동 519-2234.895284128.6907822023-072023-07조미영055-687-1388http://geojegoods.co.kr/6지역자원을 활용한 주민소득 창출(폐)목재를 활용한 아트엔굿즈 사업/체험교육<NA>055-639-4094경상남도 거제시청2023-09-055370000경상남도 거제시
2324토바기협동조합신규토바기협동조합협동조합경상남도 거제시 장승포로5길 20(장승포동)경상남도 거제시 장승포동 233-334.867383128.7308232023-042023-04최은조055-681-1616<NA>5지역자원을 활용한 주민소득 창출유자막걸리 제조 및 판매/체험교육<NA>055-639-4094경상남도 거제시청2023-09-055370000경상남도 거제시
2325농업회사법인 청사초롱마을 주식회사신규농업회사법인 청사초롱마을 주식회사주식회사경상남도 거제시 삼거4길 8(삼거동)경상남도 거제시 삼거동 321-434.843049128.6482152023-042023-04옥대석055-637-7475<NA>20지역자원을 활용한 주민소득 창출사계절 체험교육/체험용 식물재배키트 판매<NA>055-639-4094경상남도 거제시청2023-09-055370000경상남도 거제시
2326콩사랑 영농조합법인2차연도콩사랑영농조합법인영농조합경상남도 의령군 부림면 여배로 80-3경상남도 의령군 부림면 여배리 404-135.501424128.3436992023-092023-03조용근055-573-0574해당없음5콩 발효식품 제조,판매메주, 청국장 등해당없음055-570-3143경상남도 의령군청2023-09-115390000경상남도 의령군