Overview

Dataset statistics

Number of variables6
Number of observations331
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 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 07:42:13.419145
Analysis finished2024-03-23 07:42:15.433258
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

스타팜구분
Categorical

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
친환경농산물인증
155 
농산물우수관리인증(GAP)
87 
유기가공식품인증
39 
전통식품품질인증
29 
지리적표시등록
 
8
Other values (2)
 
13

Length

Max length14
Median length8
Mean length9.3625378
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
친환경농산물인증 155
46.8%
농산물우수관리인증(GAP) 87
26.3%
유기가공식품인증 39
 
11.8%
전통식품품질인증 29
 
8.8%
지리적표시등록 8
 
2.4%
기타 8
 
2.4%
술픔질인증 5
 
1.5%

Length

2024-03-23T07:42:15.775894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:42:16.287324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
친환경농산물인증 155
46.8%
농산물우수관리인증(gap 87
26.3%
유기가공식품인증 39
 
11.8%
전통식품품질인증 29
 
8.8%
지리적표시등록 8
 
2.4%
기타 8
 
2.4%
술픔질인증 5
 
1.5%

최초지정일
Date

Distinct58
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2012-11-23 00:00:00
Maximum2022-05-17 00:00:00
2024-03-23T07:42:16.756358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:42:17.244590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산자단체명
Text

Distinct257
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:17.738185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.5377644
Min length3

Characters and Unicode

Total characters2495
Distinct characters340
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

Unique188 ?
Unique (%)56.8%

Sample

1st row강릉 안반데기 관광농원
2nd row항진굼벵이농장
3rd row울산애플팜
4th row사과숲애
5th row플랜티팜
ValueCountFrequency (%)
농업회사법인 9
 
2.2%
농장 4
 
1.0%
백록다원 4
 
1.0%
하나되기 3
 
0.7%
향적원 3
 
0.7%
곽씨네푸드 3
 
0.7%
지리산과 3
 
0.7%
차 3
 
0.7%
농원 3
 
0.7%
영농조합법인 3
 
0.7%
Other values (288) 369
90.7%
2024-03-23T07:42:18.492580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 219
 
8.8%
원 89
 
3.6%
인 77
 
3.1%
77
 
3.1%
장 76
 
3.0%
법 71
 
2.8%
사 56
 
2.2%
영 55
 
2.2%
합 54
 
2.2%
조 54
 
2.2%
Other values (330) 1667
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2304
92.3%
Space Separator 77
 
3.1%
Open Punctuation 35
 
1.4%
Close Punctuation 35
 
1.4%
Uppercase Letter 32
 
1.3%
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 219
 
9.5%
원 89
 
3.9%
인 77
 
3.3%
장 76
 
3.3%
법 71
 
3.1%
사 56
 
2.4%
영 55
 
2.4%
합 54
 
2.3%
조 54
 
2.3%
주 40
 
1.7%
Other values (305) 1513
65.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
12.5%
M 4
12.5%
Z 4
12.5%
D 4
12.5%
F 2
6.2%
A 2
6.2%
L 2
6.2%
W 2
6.2%
T 2
6.2%
O 2
6.2%
Other values (3) 4
12.5%
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 (%)
77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2305
92.4%
Common 154
 
6.2%
Latin 36
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 219
 
9.5%
원 89
 
3.9%
인 77
 
3.3%
장 76
 
3.3%
법 71
 
3.1%
사 56
 
2.4%
영 55
 
2.4%
합 54
 
2.3%
조 54
 
2.3%
주 40
 
1.7%
Other values (306) 1514
65.7%
Latin
ValueCountFrequency (%)
E 4
11.1%
M 4
11.1%
Z 4
11.1%
D 4
11.1%
F 2
 
5.6%
A 2
 
5.6%
L 2
 
5.6%
W 2
 
5.6%
T 2
 
5.6%
O 2
 
5.6%
Other values (7) 8
22.2%
Common
ValueCountFrequency (%)
77
50.0%
( 35
22.7%
) 35
22.7%
& 3
 
1.9%
" 2
 
1.3%
3 1
 
0.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2304
92.3%
ASCII 190
 
7.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 219
 
9.5%
원 89
 
3.9%
인 77
 
3.3%
장 76
 
3.3%
법 71
 
3.1%
사 56
 
2.4%
영 55
 
2.4%
합 54
 
2.3%
조 54
 
2.3%
주 40
 
1.7%
Other values (305) 1513
65.7%
ASCII
ValueCountFrequency (%)
77
40.5%
( 35
18.4%
) 35
18.4%
E 4
 
2.1%
M 4
 
2.1%
Z 4
 
2.1%
D 4
 
2.1%
& 3
 
1.6%
F 2
 
1.1%
" 2
 
1.1%
Other values (14) 20
 
10.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

생산농산물
Text

Distinct207
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:19.080390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length39
Mean length10.63142
Min length1

Characters and Unicode

Total characters3519
Distinct characters321
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

Unique132 ?
Unique (%)39.9%

Sample

1st row산마늘, 눈개승마
2nd row사과,곤충
3rd row사과
4th row사과,사과즙
5th row바질, 상추, 꽃송이버섯 등
ValueCountFrequency (%)
등 24
 
3.4%
사과 23
 
3.2%
된장 18
 
2.5%
블루베리 18
 
2.5%
쌀 18
 
2.5%
고추장 16
 
2.2%
포도 16
 
2.2%
감귤 13
 
1.8%
배 11
 
1.5%
단감 11
 
1.5%
Other values (304) 547
76.5%
2024-03-23T07:42:20.380475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 444
 
12.6%
386
 
11.0%
장 97
 
2.8%
기 57
 
1.6%
리 52
 
1.5%
과 52
 
1.5%
감 52
 
1.5%
고 51
 
1.4%
차 49
 
1.4%
( 49
 
1.4%
Other values (311) 2230
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2446
69.5%
Other Punctuation 454
 
12.9%
Space Separator 386
 
11.0%
Lowercase Letter 68
 
1.9%
Decimal Number 58
 
1.6%
Open Punctuation 49
 
1.4%
Close Punctuation 49
 
1.4%
Dash Punctuation 5
 
0.1%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 97
 
4.0%
기 57
 
2.3%
리 52
 
2.1%
과 52
 
2.1%
감 52
 
2.1%
고 51
 
2.1%
차 49
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1914
78.3%
Decimal Number
ValueCountFrequency (%)
0 18
31.0%
1 14
24.1%
5 11
19.0%
3 7
 
12.1%
2 4
 
6.9%
6 2
 
3.4%
9 1
 
1.7%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 444
97.8%
. 7
 
1.5%
& 2
 
0.4%
? 1
 
0.2%
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 (%)
386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2446
69.5%
Common 1002
28.5%
Latin 71
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 97
 
4.0%
기 57
 
2.3%
리 52
 
2.1%
과 52
 
2.1%
감 52
 
2.1%
고 51
 
2.1%
차 49
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1914
78.3%
Common
ValueCountFrequency (%)
, 444
44.3%
386
38.5%
( 49
 
4.9%
) 49
 
4.9%
0 18
 
1.8%
1 14
 
1.4%
5 11
 
1.1%
3 7
 
0.7%
. 7
 
0.7%
- 5
 
0.5%
Other values (7) 12
 
1.2%
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 2446
69.5%
ASCII 1073
30.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 444
41.4%
386
36.0%
( 49
 
4.6%
) 49
 
4.6%
g 36
 
3.4%
k 32
 
3.0%
0 18
 
1.7%
1 14
 
1.3%
5 11
 
1.0%
3 7
 
0.7%
Other values (12) 27
 
2.5%
Hangul
ValueCountFrequency (%)
장 97
 
4.0%
기 57
 
2.3%
리 52
 
2.1%
과 52
 
2.1%
감 52
 
2.1%
고 51
 
2.1%
차 49
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1914
78.3%

주소
Text

Distinct258
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:21.174357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length19.749245
Min length12

Characters and Unicode

Total characters6537
Distinct characters254
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

Unique190 ?
Unique (%)57.4%

Sample

1st row강릉시 왕산면 안반데기1길 203
2nd row경남 밀양시 산내면 발례1길 58-60
3rd row울산광역시 북구 동산길 120-1
4th row경남 거창군 주상면 거기2길 124
5th row평택시 진위면 하북리 214-4
ValueCountFrequency (%)
전남 51
 
3.2%
경남 44
 
2.8%
경기도 20
 
1.3%
제주시 17
 
1.1%
순천시 16
 
1.0%
전북 15
 
1.0%
강원도 15
 
1.0%
제주특별자치도 14
 
0.9%
서귀포시 14
 
0.9%
충남 13
 
0.8%
Other values (841) 1355
86.1%
2024-03-23T07:42:22.569100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1249
 
19.1%
1 279
 
4.3%
면 243
 
3.7%
리 213
 
3.3%
- 198
 
3.0%
시 179
 
2.7%
2 171
 
2.6%
군 160
 
2.4%
남 151
 
2.3%
3 138
 
2.1%
Other values (244) 3556
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3788
57.9%
Decimal Number 1290
 
19.7%
Space Separator 1249
 
19.1%
Dash Punctuation 198
 
3.0%
Other Punctuation 6
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 243
 
6.4%
리 213
 
5.6%
시 179
 
4.7%
군 160
 
4.2%
남 151
 
4.0%
경 100
 
2.6%
산 99
 
2.6%
도 92
 
2.4%
천 91
 
2.4%
주 89
 
2.3%
Other values (229) 2371
62.6%
Decimal Number
ValueCountFrequency (%)
1 279
21.6%
2 171
13.3%
3 138
10.7%
5 132
10.2%
4 121
9.4%
6 118
9.1%
0 97
 
7.5%
8 84
 
6.5%
7 77
 
6.0%
9 73
 
5.7%
Space Separator
ValueCountFrequency (%)
1249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3788
57.9%
Common 2749
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 243
 
6.4%
리 213
 
5.6%
시 179
 
4.7%
군 160
 
4.2%
남 151
 
4.0%
경 100
 
2.6%
산 99
 
2.6%
도 92
 
2.4%
천 91
 
2.4%
주 89
 
2.3%
Other values (229) 2371
62.6%
Common
ValueCountFrequency (%)
1249
45.4%
1 279
 
10.1%
- 198
 
7.2%
2 171
 
6.2%
3 138
 
5.0%
5 132
 
4.8%
4 121
 
4.4%
6 118
 
4.3%
0 97
 
3.5%
8 84
 
3.1%
Other values (5) 162
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3788
57.9%
ASCII 2749
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1249
45.4%
1 279
 
10.1%
- 198
 
7.2%
2 171
 
6.2%
3 138
 
5.0%
5 132
 
4.8%
4 121
 
4.4%
6 118
 
4.3%
0 97
 
3.5%
8 84
 
3.1%
Other values (5) 162
 
5.9%
Hangul
ValueCountFrequency (%)
면 243
 
6.4%
리 213
 
5.6%
시 179
 
4.7%
군 160
 
4.2%
남 151
 
4.0%
경 100
 
2.6%
산 99
 
2.6%
도 92
 
2.4%
천 91
 
2.4%
주 89
 
2.3%
Other values (229) 2371
62.6%

지역
Categorical

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
경남
60 
전남
60 
경북
40 
전북
35 
제주
34 
Other values (7)
102 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row강원
2nd row경남
3rd row울산
4th row경남
5th row경기

Common Values

ValueCountFrequency (%)
경남 60
18.1%
전남 60
18.1%
경북 40
12.1%
전북 35
10.6%
제주 34
10.3%
강원 26
7.9%
충남 26
7.9%
경기 24
 
7.3%
충북 22
 
6.6%
울산 2
 
0.6%
Other values (2) 2
 
0.6%

Length

2024-03-23T07:42:22.977516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경남 60
18.1%
전남 60
18.1%
경북 40
12.1%
전북 35
10.6%
제주 34
10.3%
강원 26
7.9%
충남 26
7.9%
경기 24
 
7.3%
충북 22
 
6.6%
울산 2
 
0.6%
Other values (2) 2
 
0.6%

Correlations

2024-03-23T07:42:23.253266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분최초지정일지역
스타팜구분1.0000.0000.319
최초지정일0.0001.0000.753
지역0.3190.7531.000
2024-03-23T07:42:23.420742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역스타팜구분
지역1.0000.159
스타팜구분0.1591.000
2024-03-23T07:42:23.591505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분지역
스타팜구분1.0000.159
지역0.1591.000

Missing values

2024-03-23T07:42:14.692441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:42:15.184270image/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
0농산물우수관리인증(GAP)2022-05-17강릉 안반데기 관광농원산마늘, 눈개승마강릉시 왕산면 안반데기1길 203강원
1농산물우수관리인증(GAP)2022-03-12항진굼벵이농장사과,곤충경남 밀양시 산내면 발례1길 58-60경남
2농산물우수관리인증(GAP)2022-03-12울산애플팜사과울산광역시 북구 동산길 120-1울산
3농산물우수관리인증(GAP)2022-03-12사과숲애사과,사과즙경남 거창군 주상면 거기2길 124경남
4농산물우수관리인증(GAP)2022-02-18플랜티팜바질, 상추, 꽃송이버섯 등평택시 진위면 하북리 214-4경기
5농산물우수관리인증(GAP)2021-12-27바람개비딸기학교딸기, 딸기육묘전북 무주군 무주읍 오산리 227-3전북
6농산물우수관리인증(GAP)2020-02-10고천마실사과(사과파이,장아찌 등),콩(두부,막장 등)포항시 북구 죽장면 상옥리 981-2경북
7농산물우수관리인증(GAP)2020-02-07은성농장(농업회사법인 예산사과와인주식회사)사과, 사과와인(증류주)충남 예산군 고덕면 대천리 501충남
8농산물우수관리인증(GAP)2020-02-06얼음골사과소고농원사과경남 밀양시 산내면 임고6길 71-5경남
9농산물우수관리인증(GAP)2020-02-03용인청정farm블루베리경기도 용인시 처인구 원삼면 미평리 457경기
스타팜구분최초지정일생산자단체명생산농산물주소지역
321술픔질인증2012-11-23장생도라지도라지가공품경남 진주시 금곡면 정자천로 15번길 5경남
322술픔질인증2012-11-23산딸기닷컴산딸기,산딸기와인경남 김해시 상동면 장척로374경남
323기타2020-02-06농업회사법인(주)솔송주솔송주,담솔경남 함양군 지곡면 지곡창촌길 3경남
324기타2017-05-30대솔영농조합법인송이버섯, 송이버섯식품강원도 양양군 양양읍 청곡리 11-20강원
325기타2017-03-14향적원전통장류, 장아찌류순창군 순창읍 백산리 265-53전북
326기타2012-11-23그린토피아배, 배즙경기도 양평군 양서면 양수리 359경기
327기타2012-11-23백록다원우전,세작,중작,발효차,엽차,목욕용전남 보성군 회천면 봉강리 368-1전남
328기타2012-11-23진도전통식품한과, 떡전라남도 진도군 지산면 인지인천2길 6-15전남
329기타2012-11-23양지마을 오탄농장산란계, 유정란강원도 춘천시 사북면 오탄리 139-1강원
330기타2012-11-23(주)외가집농업법인된장, 고추장, 간장, 손두부충남 부여군 옥산면 안서리 294충남