Overview

Dataset statistics

Number of variables6
Number of observations325
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory48.4 B

Variable types

Categorical2
DateTime1
Text3

Dataset

Description농산물우수관리(GAP), 친환경인증, 유기가공식품 인증, 전통식품 인증, 술 품질인증, 지리적표시등록 등 농식품 국가인증제도의 참여를 통해 안전한 농식품을 생산하는 농장 중 타의 모범이 되는 대표적인 농장으로 선정된 업체 정보(스타팜 구분, 최초지정일, 생산자단체명, 생산농산물, 지역 등)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20171020000000000891

Reproduction

Analysis started2024-03-23 07:42:24.993928
Analysis finished2024-03-23 07:42:26.662404
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

스타팜구분
Categorical

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
친환경농산물인증
155 
농산물우수관리인증(GAP)
84 
유기가공식품인증
38 
전통식품품질인증
28 
기타
 
8
Other values (2)
 
12

Length

Max length14
Median length8
Mean length9.3415385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row친환경농산물인증
2nd row친환경농산물인증
3rd row농산물우수관리인증(GAP)
4th row농산물우수관리인증(GAP)
5th row농산물우수관리인증(GAP)

Common Values

ValueCountFrequency (%)
친환경농산물인증 155
47.7%
농산물우수관리인증(GAP) 84
25.8%
유기가공식품인증 38
 
11.7%
전통식품품질인증 28
 
8.6%
기타 8
 
2.5%
지리적표시등록 8
 
2.5%
술픔질인증 4
 
1.2%

Length

2024-03-23T07:42:26.829165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:42:27.053050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
친환경농산물인증 155
47.7%
농산물우수관리인증(gap 84
25.8%
유기가공식품인증 38
 
11.7%
전통식품품질인증 28
 
8.6%
기타 8
 
2.5%
지리적표시등록 8
 
2.5%
술픔질인증 4
 
1.2%

최초지정일
Date

Distinct56
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2012-11-23 00:00:00
Maximum2022-03-21 00:00:00
2024-03-23T07:42:27.302906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:42:27.585400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산자단체명
Text

Distinct256
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:28.038014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.4492308
Min length3

Characters and Unicode

Total characters2421
Distinct characters339
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

Unique192 ?
Unique (%)59.1%

Sample

1st row농업회사법인(주)젊은농부들
2nd row아르아르
3rd row울산애플팜
4th row항진굼벵이농장
5th row사과숲애
ValueCountFrequency (%)
농업회사법인 8
 
2.0%
백록다원 4
 
1.0%
농장 4
 
1.0%
차 3
 
0.8%
영농조합법인 3
 
0.8%
향적원 3
 
0.8%
농원 3
 
0.8%
지리산과 3
 
0.8%
하나되기 3
 
0.8%
곽씨네푸드 3
 
0.8%
Other values (285) 358
90.6%
2024-03-23T07:42:28.944687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 217
 
9.0%
원 88
 
3.6%
장 78
 
3.2%
인 75
 
3.1%
71
 
2.9%
법 69
 
2.9%
영 54
 
2.2%
사 54
 
2.2%
합 53
 
2.2%
조 53
 
2.2%
Other values (329) 1609
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2255
93.1%
Space Separator 71
 
2.9%
Close Punctuation 33
 
1.4%
Open Punctuation 33
 
1.4%
Uppercase Letter 17
 
0.7%
Other Punctuation 5
 
0.2%
Lowercase Letter 4
 
0.2%
Decimal Number 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 217
 
9.6%
원 88
 
3.9%
장 78
 
3.5%
인 75
 
3.3%
법 69
 
3.1%
영 54
 
2.4%
사 54
 
2.4%
합 53
 
2.4%
조 53
 
2.4%
주 38
 
1.7%
Other values (304) 1476
65.5%
Uppercase Letter
ValueCountFrequency (%)
E 2
11.8%
D 2
11.8%
M 2
11.8%
Z 2
11.8%
G 1
 
5.9%
C 1
 
5.9%
R 1
 
5.9%
A 1
 
5.9%
T 1
 
5.9%
W 1
 
5.9%
Other values (3) 3
17.6%
Lowercase Letter
ValueCountFrequency (%)
m 1
25.0%
r 1
25.0%
a 1
25.0%
f 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
" 2
40.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2256
93.2%
Common 144
 
5.9%
Latin 21
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 217
 
9.6%
원 88
 
3.9%
장 78
 
3.5%
인 75
 
3.3%
법 69
 
3.1%
영 54
 
2.4%
사 54
 
2.4%
합 53
 
2.3%
조 53
 
2.3%
주 38
 
1.7%
Other values (305) 1477
65.5%
Latin
ValueCountFrequency (%)
E 2
 
9.5%
D 2
 
9.5%
M 2
 
9.5%
Z 2
 
9.5%
G 1
 
4.8%
C 1
 
4.8%
R 1
 
4.8%
A 1
 
4.8%
T 1
 
4.8%
W 1
 
4.8%
Other values (7) 7
33.3%
Common
ValueCountFrequency (%)
71
49.3%
) 33
22.9%
( 33
22.9%
& 3
 
2.1%
" 2
 
1.4%
3 1
 
0.7%
2 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2255
93.1%
ASCII 165
 
6.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 217
 
9.6%
원 88
 
3.9%
장 78
 
3.5%
인 75
 
3.3%
법 69
 
3.1%
영 54
 
2.4%
사 54
 
2.4%
합 53
 
2.4%
조 53
 
2.4%
주 38
 
1.7%
Other values (304) 1476
65.5%
ASCII
ValueCountFrequency (%)
71
43.0%
) 33
20.0%
( 33
20.0%
& 3
 
1.8%
E 2
 
1.2%
D 2
 
1.2%
M 2
 
1.2%
Z 2
 
1.2%
" 2
 
1.2%
3 1
 
0.6%
Other values (14) 14
 
8.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

생산농산물
Text

Distinct196
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:29.424560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length39
Mean length10.2
Min length1

Characters and Unicode

Total characters3315
Distinct characters319
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

Unique124 ?
Unique (%)38.2%

Sample

1st row블루베리, 아로니아
2nd row식용꽃, 쌈채소
3rd row사과
4th row사과
5th row사과
ValueCountFrequency (%)
사과 25
 
3.5%
등 23
 
3.2%
된장 19
 
2.7%
쌀 18
 
2.5%
블루베리 18
 
2.5%
포도 16
 
2.2%
고추장 16
 
2.2%
단감 14
 
2.0%
감귤 13
 
1.8%
배 12
 
1.7%
Other values (289) 541
75.7%
2024-03-23T07:42:30.322901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 398
 
12.0%
392
 
11.8%
장 91
 
2.7%
감 52
 
1.6%
고 48
 
1.4%
기 47
 
1.4%
과 47
 
1.4%
리 46
 
1.4%
차 46
 
1.4%
) 46
 
1.4%
Other values (309) 2102
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2287
69.0%
Other Punctuation 407
 
12.3%
Space Separator 392
 
11.8%
Lowercase Letter 68
 
2.1%
Decimal Number 60
 
1.8%
Close Punctuation 46
 
1.4%
Open Punctuation 46
 
1.4%
Dash Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 91
 
4.0%
감 52
 
2.3%
고 48
 
2.1%
기 47
 
2.1%
과 47
 
2.1%
리 46
 
2.0%
차 46
 
2.0%
아 42
 
1.8%
버 35
 
1.5%
섯 35
 
1.5%
Other values (288) 1798
78.6%
Decimal Number
ValueCountFrequency (%)
0 18
30.0%
1 14
23.3%
5 11
18.3%
3 7
 
11.7%
2 4
 
6.7%
9 3
 
5.0%
6 2
 
3.3%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 398
97.8%
. 7
 
1.7%
& 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
A 1
33.3%
G 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
g 36
52.9%
k 32
47.1%
Space Separator
ValueCountFrequency (%)
392
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2287
69.0%
Common 957
28.9%
Latin 71
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 91
 
4.0%
감 52
 
2.3%
고 48
 
2.1%
기 47
 
2.1%
과 47
 
2.1%
리 46
 
2.0%
차 46
 
2.0%
아 42
 
1.8%
버 35
 
1.5%
섯 35
 
1.5%
Other values (288) 1798
78.6%
Common
ValueCountFrequency (%)
, 398
41.6%
392
41.0%
) 46
 
4.8%
( 46
 
4.8%
0 18
 
1.9%
1 14
 
1.5%
5 11
 
1.1%
. 7
 
0.7%
3 7
 
0.7%
- 5
 
0.5%
Other values (6) 13
 
1.4%
Latin
ValueCountFrequency (%)
g 36
50.7%
k 32
45.1%
P 1
 
1.4%
A 1
 
1.4%
G 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2287
69.0%
ASCII 1028
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 398
38.7%
392
38.1%
) 46
 
4.5%
( 46
 
4.5%
g 36
 
3.5%
k 32
 
3.1%
0 18
 
1.8%
1 14
 
1.4%
5 11
 
1.1%
. 7
 
0.7%
Other values (11) 28
 
2.7%
Hangul
ValueCountFrequency (%)
장 91
 
4.0%
감 52
 
2.3%
고 48
 
2.1%
기 47
 
2.1%
과 47
 
2.1%
리 46
 
2.0%
차 46
 
2.0%
아 42
 
1.8%
버 35
 
1.5%
섯 35
 
1.5%
Other values (288) 1798
78.6%

주소
Text

Distinct257
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:30.822006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length19.735385
Min length12

Characters and Unicode

Total characters6414
Distinct characters252
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)59.7%

Sample

1st row충북 음성군 감곡면 오향리 110-6
2nd row충청북도 옥천군 안내면 도율리 6-1
3rd row울산광역시 북구 동산길 120-1
4th row경남 밀양시 산내면 발례1길 58-60
5th row경남 거창군 주상면 거기2길 124
ValueCountFrequency (%)
전남 51
 
3.3%
경남 42
 
2.7%
경기도 19
 
1.2%
제주시 17
 
1.1%
순천시 16
 
1.0%
전북 15
 
1.0%
강원도 15
 
1.0%
서귀포시 14
 
0.9%
제주특별자치도 14
 
0.9%
경북 13
 
0.8%
Other values (839) 1331
86.0%
2024-03-23T07:42:31.852151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1229
 
19.2%
1 276
 
4.3%
면 238
 
3.7%
리 214
 
3.3%
- 196
 
3.1%
시 174
 
2.7%
2 162
 
2.5%
군 159
 
2.5%
남 148
 
2.3%
3 135
 
2.1%
Other values (242) 3483
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3715
57.9%
Decimal Number 1262
 
19.7%
Space Separator 1229
 
19.2%
Dash Punctuation 196
 
3.1%
Other Punctuation 6
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 238
 
6.4%
리 214
 
5.8%
시 174
 
4.7%
군 159
 
4.3%
남 148
 
4.0%
산 96
 
2.6%
경 95
 
2.6%
천 90
 
2.4%
도 90
 
2.4%
주 88
 
2.4%
Other values (227) 2323
62.5%
Decimal Number
ValueCountFrequency (%)
1 276
21.9%
2 162
12.8%
3 135
10.7%
5 128
10.1%
6 117
9.3%
4 117
9.3%
0 98
 
7.8%
8 82
 
6.5%
7 74
 
5.9%
9 73
 
5.8%
Space Separator
ValueCountFrequency (%)
1229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3715
57.9%
Common 2699
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 238
 
6.4%
리 214
 
5.8%
시 174
 
4.7%
군 159
 
4.3%
남 148
 
4.0%
산 96
 
2.6%
경 95
 
2.6%
천 90
 
2.4%
도 90
 
2.4%
주 88
 
2.4%
Other values (227) 2323
62.5%
Common
ValueCountFrequency (%)
1229
45.5%
1 276
 
10.2%
- 196
 
7.3%
2 162
 
6.0%
3 135
 
5.0%
5 128
 
4.7%
6 117
 
4.3%
4 117
 
4.3%
0 98
 
3.6%
8 82
 
3.0%
Other values (5) 159
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3715
57.9%
ASCII 2699
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1229
45.5%
1 276
 
10.2%
- 196
 
7.3%
2 162
 
6.0%
3 135
 
5.0%
5 128
 
4.7%
6 117
 
4.3%
4 117
 
4.3%
0 98
 
3.6%
8 82
 
3.0%
Other values (5) 159
 
5.9%
Hangul
ValueCountFrequency (%)
면 238
 
6.4%
리 214
 
5.8%
시 174
 
4.7%
군 159
 
4.3%
남 148
 
4.0%
산 96
 
2.6%
경 95
 
2.6%
천 90
 
2.4%
도 90
 
2.4%
주 88
 
2.4%
Other values (227) 2323
62.5%

지역
Categorical

Distinct12
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
전남
60 
경남
57 
경북
40 
전북
35 
제주
34 
Other values (7)
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row충북
2nd row충북
3rd row울산
4th row경남
5th row경남

Common Values

ValueCountFrequency (%)
전남 60
18.5%
경남 57
17.5%
경북 40
12.3%
전북 35
10.8%
제주 34
10.5%
충남 26
8.0%
강원 25
7.7%
경기 23
 
7.1%
충북 21
 
6.5%
울산 2
 
0.6%
Other values (2) 2
 
0.6%

Length

2024-03-23T07:42:32.286771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전남 60
18.5%
경남 57
17.5%
경북 40
12.3%
전북 35
10.8%
제주 34
10.5%
충남 26
8.0%
강원 25
7.7%
경기 23
 
7.1%
충북 21
 
6.5%
울산 2
 
0.6%
Other values (2) 2
 
0.6%

Correlations

2024-03-23T07:42:32.507172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분최초지정일지역
스타팜구분1.0000.0000.348
최초지정일0.0001.0000.747
지역0.3480.7471.000
2024-03-23T07:42:32.748975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역스타팜구분
지역1.0000.175
스타팜구분0.1751.000
2024-03-23T07:42:32.988871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분지역
스타팜구분1.0000.175
지역0.1751.000

Missing values

2024-03-23T07:42:26.289859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:42:26.551357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

스타팜구분최초지정일생산자단체명생산농산물주소지역
0친환경농산물인증2022-03-21농업회사법인(주)젊은농부들블루베리, 아로니아충북 음성군 감곡면 오향리 110-6충북
1친환경농산물인증2022-03-21아르아르식용꽃, 쌈채소충청북도 옥천군 안내면 도율리 6-1충북
2농산물우수관리인증(GAP)2022-03-12울산애플팜사과울산광역시 북구 동산길 120-1울산
3농산물우수관리인증(GAP)2022-03-12항진굼벵이농장사과경남 밀양시 산내면 발례1길 58-60경남
4농산물우수관리인증(GAP)2022-03-12사과숲애사과경남 거창군 주상면 거기2길 124경남
5농산물우수관리인증(GAP)2022-02-18플랜티팜바질, 상추, 꽃송이버섯 등평택시 진위면 하북리 214-4경기
6친환경농산물인증2022-02-18플랜티팜바질, 상추, 꽃송이버섯 등평택시 진위면 하북리 214-4경기
7친환경농산물인증2022-01-12거제블루팜블루베리거제시 거제면 옥산리 778-3경남
8친환경농산물인증2022-01-04귤의정원 바령감귤제주시 조천읍 선흘리 1396, 1402제주
9농산물우수관리인증(GAP)2021-12-27바람개비딸기학교딸기, 딸기육묘전북 무주군 무주읍 오산리 227-3전북
스타팜구분최초지정일생산자단체명생산농산물주소지역
315지리적표시등록2012-11-23솔모루농원사과충청남도 예산군 오가면 국사봉로 439-10충남
316지리적표시등록2012-11-23까치락골농원포도, 와인경북 영천시 대창면 운천리 754경북
317지리적표시등록2012-11-23한산모시조합(사)한산모시충남 서천군 한산면 지현리 60-1충남
318술픔질인증2012-11-23울산탁주태화루탁주울산시 북구 염포로 237울산
319술픔질인증2012-11-23장생도라지도라지가공품, 약주경남 진주시 금곡면 정자천로 15번길 5경남
320기타2012-11-23백록다원우전,세작,중작,발효차,엽차,목욕용전남 보성군 회천면 봉강리 368-1전남
321기타2012-11-23그린토피아배, 배즙경기도 양평군 양서면 양수리 359경기
322기타2012-11-23양지마을 오탄농장산란계, 유정란강원도 춘천시 사북면 오탄리 139-1강원
323기타2012-11-23(주)외가집농업법인된장, 고추장, 간장, 손두부충남 부여군 옥산면 안서리 294충남
324기타2012-11-23진도전통식품한과, 떡전라남도 진도군 지산면 인지인천2길 6-15전남