Overview

Dataset statistics

Number of variables6
Number of observations324
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 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 07:42:46.685072
Analysis finished2024-03-23 07:42:48.527154
Duration1.84 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
151 
농산물우수관리인증(GAP)
85 
유기가공식품인증
38 
전통식품품질인증
29 
지리적표시등록
 
8
Other values (2)
 
13

Length

Max length14
Median length8
Mean length9.3549383
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 151
46.6%
농산물우수관리인증(GAP) 85
26.2%
유기가공식품인증 38
 
11.7%
전통식품품질인증 29
 
9.0%
지리적표시등록 8
 
2.5%
기타 8
 
2.5%
술픔질인증 5
 
1.5%

Length

2024-03-23T07:42:48.787433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:42:49.219676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
친환경농산물인증 151
46.6%
농산물우수관리인증(gap 85
26.2%
유기가공식품인증 38
 
11.7%
전통식품품질인증 29
 
9.0%
지리적표시등록 8
 
2.5%
기타 8
 
2.5%
술픔질인증 5
 
1.5%

최초지정일
Date

Distinct58
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2012-11-23 00:00:00
Maximum2022-05-17 00:00:00
2024-03-23T07:42:49.903377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:42:50.481127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산자단체명
Text

Distinct252
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:50.962728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.5308642
Min length3

Characters and Unicode

Total characters2440
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

Unique185 ?
Unique (%)57.1%

Sample

1st row플랜티팜
2nd row군산하늘딸기
3rd row농업회사법인 (주)농산
4th row얼음골사과소고농원
5th row샛터농장
ValueCountFrequency (%)
농업회사법인 9
 
2.2%
백록다원 4
 
1.0%
농장 4
 
1.0%
농원 3
 
0.8%
차 3
 
0.8%
영농조합법인 3
 
0.8%
향적원 3
 
0.8%
하나되기 3
 
0.8%
지리산과 3
 
0.8%
곽씨네푸드 3
 
0.8%
Other values (283) 362
90.5%
2024-03-23T07:42:51.699761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 213
 
8.7%
원 89
 
3.6%
77
 
3.2%
장 74
 
3.0%
인 73
 
3.0%
법 67
 
2.7%
사 56
 
2.3%
영 51
 
2.1%
조 50
 
2.0%
합 50
 
2.0%
Other values (330) 1640
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2249
92.2%
Space Separator 77
 
3.2%
Close Punctuation 35
 
1.4%
Open 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 213
 
9.5%
원 89
 
4.0%
장 74
 
3.3%
인 73
 
3.2%
법 67
 
3.0%
사 56
 
2.5%
영 51
 
2.3%
조 50
 
2.2%
합 50
 
2.2%
주 40
 
1.8%
Other values (305) 1486
66.1%
Uppercase Letter
ValueCountFrequency (%)
E 4
12.5%
D 4
12.5%
M 4
12.5%
Z 4
12.5%
W 2
6.2%
F 2
6.2%
L 2
6.2%
R 2
6.2%
T 2
6.2%
A 2
6.2%
Other values (3) 4
12.5%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
m 1
25.0%
r 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%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2250
92.2%
Common 154
 
6.3%
Latin 36
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 213
 
9.5%
원 89
 
4.0%
장 74
 
3.3%
인 73
 
3.2%
법 67
 
3.0%
사 56
 
2.5%
영 51
 
2.3%
조 50
 
2.2%
합 50
 
2.2%
주 40
 
1.8%
Other values (306) 1487
66.1%
Latin
ValueCountFrequency (%)
E 4
11.1%
D 4
11.1%
M 4
11.1%
Z 4
11.1%
W 2
 
5.6%
F 2
 
5.6%
L 2
 
5.6%
R 2
 
5.6%
T 2
 
5.6%
A 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 2249
92.2%
ASCII 190
 
7.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 213
 
9.5%
원 89
 
4.0%
장 74
 
3.3%
인 73
 
3.2%
법 67
 
3.0%
사 56
 
2.5%
영 51
 
2.3%
조 50
 
2.2%
합 50
 
2.2%
주 40
 
1.8%
Other values (305) 1486
66.1%
ASCII
ValueCountFrequency (%)
77
40.5%
) 35
18.4%
( 35
18.4%
E 4
 
2.1%
D 4
 
2.1%
M 4
 
2.1%
Z 4
 
2.1%
& 3
 
1.6%
" 2
 
1.1%
W 2
 
1.1%
Other values (14) 20
 
10.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

생산농산물
Text

Distinct203
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:52.061926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length36
Mean length10.712963
Min length1

Characters and Unicode

Total characters3471
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

Unique129 ?
Unique (%)39.8%

Sample

1st row바질, 상추, 꽃송이버섯 등
2nd row딸기
3rd row파프리카
4th row사과
5th row사과
ValueCountFrequency (%)
등 24
 
3.4%
사과 23
 
3.3%
블루베리 18
 
2.6%
된장 18
 
2.6%
쌀 17
 
2.4%
고추장 16
 
2.3%
포도 15
 
2.1%
감귤 13
 
1.9%
배 11
 
1.6%
단감 11
 
1.6%
Other values (302) 536
76.4%
2024-03-23T07:42:53.074804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 438
 
12.6%
380
 
10.9%
장 97
 
2.8%
기 57
 
1.6%
리 52
 
1.5%
감 52
 
1.5%
과 52
 
1.5%
고 50
 
1.4%
) 49
 
1.4%
( 49
 
1.4%
Other values (311) 2195
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2410
69.4%
Other Punctuation 448
 
12.9%
Space Separator 380
 
10.9%
Lowercase Letter 68
 
2.0%
Decimal Number 58
 
1.7%
Close Punctuation 49
 
1.4%
Open 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
 
2.4%
리 52
 
2.2%
감 52
 
2.2%
과 52
 
2.2%
고 50
 
2.1%
차 47
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1881
78.0%
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 (%)
, 438
97.8%
. 7
 
1.6%
& 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 (%)
380
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2410
69.4%
Common 990
28.5%
Latin 71
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 97
 
4.0%
기 57
 
2.4%
리 52
 
2.2%
감 52
 
2.2%
과 52
 
2.2%
고 50
 
2.1%
차 47
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1881
78.0%
Common
ValueCountFrequency (%)
, 438
44.2%
380
38.4%
) 49
 
4.9%
( 49
 
4.9%
0 18
 
1.8%
1 14
 
1.4%
5 11
 
1.1%
. 7
 
0.7%
3 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 2410
69.4%
ASCII 1061
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 438
41.3%
380
35.8%
) 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%
. 7
 
0.7%
Other values (12) 27
 
2.5%
Hangul
ValueCountFrequency (%)
장 97
 
4.0%
기 57
 
2.4%
리 52
 
2.2%
감 52
 
2.2%
과 52
 
2.2%
고 50
 
2.1%
차 47
 
2.0%
아 46
 
1.9%
추 38
 
1.6%
섯 38
 
1.6%
Other values (289) 1881
78.0%

주소
Text

Distinct253
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:42:54.063225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27.5
Mean length19.765432
Min length12

Characters and Unicode

Total characters6404
Distinct characters251
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

Unique187 ?
Unique (%)57.7%

Sample

1st row평택시 진위면 하북리 214-4
2nd row군산시 옥산면 당북리 412-13
3rd row전북 김제시 순동 645-5번지
4th row경남 밀양시 산내면 임고6길 71-5
5th row전남 곡성군 옥과면 소룡길 256-50
ValueCountFrequency (%)
전남 51
 
3.3%
경남 41
 
2.7%
경기도 20
 
1.3%
제주시 17
 
1.1%
순천시 16
 
1.0%
강원도 15
 
1.0%
제주특별자치도 14
 
0.9%
서귀포시 14
 
0.9%
전북 14
 
0.9%
경북 13
 
0.8%
Other values (827) 1325
86.0%
2024-03-23T07:42:55.465575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1222
 
19.1%
1 274
 
4.3%
면 237
 
3.7%
리 208
 
3.2%
- 194
 
3.0%
시 174
 
2.7%
2 168
 
2.6%
군 158
 
2.5%
남 148
 
2.3%
3 134
 
2.1%
Other values (241) 3487
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3710
57.9%
Decimal Number 1266
 
19.8%
Space Separator 1222
 
19.1%
Dash Punctuation 194
 
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 237
 
6.4%
리 208
 
5.6%
시 174
 
4.7%
군 158
 
4.3%
남 148
 
4.0%
산 99
 
2.7%
경 97
 
2.6%
도 92
 
2.5%
천 88
 
2.4%
주 86
 
2.3%
Other values (226) 2323
62.6%
Decimal Number
ValueCountFrequency (%)
1 274
21.6%
2 168
13.3%
3 134
10.6%
5 128
10.1%
6 118
9.3%
4 116
9.2%
0 96
 
7.6%
8 83
 
6.6%
7 76
 
6.0%
9 73
 
5.8%
Space Separator
ValueCountFrequency (%)
1222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
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 3710
57.9%
Common 2694
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 237
 
6.4%
리 208
 
5.6%
시 174
 
4.7%
군 158
 
4.3%
남 148
 
4.0%
산 99
 
2.7%
경 97
 
2.6%
도 92
 
2.5%
천 88
 
2.4%
주 86
 
2.3%
Other values (226) 2323
62.6%
Common
ValueCountFrequency (%)
1222
45.4%
1 274
 
10.2%
- 194
 
7.2%
2 168
 
6.2%
3 134
 
5.0%
5 128
 
4.8%
6 118
 
4.4%
4 116
 
4.3%
0 96
 
3.6%
8 83
 
3.1%
Other values (5) 161
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3710
57.9%
ASCII 2694
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1222
45.4%
1 274
 
10.2%
- 194
 
7.2%
2 168
 
6.2%
3 134
 
5.0%
5 128
 
4.8%
6 118
 
4.4%
4 116
 
4.3%
0 96
 
3.6%
8 83
 
3.1%
Other values (5) 161
 
6.0%
Hangul
ValueCountFrequency (%)
면 237
 
6.4%
리 208
 
5.6%
시 174
 
4.7%
군 158
 
4.3%
남 148
 
4.0%
산 99
 
2.7%
경 97
 
2.6%
도 92
 
2.5%
천 88
 
2.4%
주 86
 
2.3%
Other values (226) 2323
62.6%

지역
Categorical

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row경기
2nd row전북
3rd row전북
4th row경남
5th row전남

Common Values

ValueCountFrequency (%)
전남 60
18.5%
경남 57
17.6%
경북 40
12.3%
전북 34
10.5%
제주 34
10.5%
강원 26
8.0%
충남 26
8.0%
경기 24
 
7.4%
충북 19
 
5.9%
울산 2
 
0.6%
Other values (2) 2
 
0.6%

Length

2024-03-23T07:42:55.834902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전남 60
18.5%
경남 57
17.6%
경북 40
12.3%
전북 34
10.5%
제주 34
10.5%
강원 26
8.0%
충남 26
8.0%
경기 24
 
7.4%
충북 19
 
5.9%
울산 2
 
0.6%
Other values (2) 2
 
0.6%

Correlations

2024-03-23T07:42:56.032303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분최초지정일지역
스타팜구분1.0000.0000.315
최초지정일0.0001.0000.759
지역0.3150.7591.000
2024-03-23T07:42:56.196325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역스타팜구분
지역1.0000.157
스타팜구분0.1571.000
2024-03-23T07:42:56.428083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분지역
스타팜구분1.0000.157
지역0.1571.000

Missing values

2024-03-23T07:42:48.035567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:42:48.389132image/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)2022-02-18플랜티팜바질, 상추, 꽃송이버섯 등평택시 진위면 하북리 214-4경기
1농산물우수관리인증(GAP)2020-01-09군산하늘딸기딸기군산시 옥산면 당북리 412-13전북
2농산물우수관리인증(GAP)2012-11-23농업회사법인 (주)농산파프리카전북 김제시 순동 645-5번지전북
3농산물우수관리인증(GAP)2020-02-06얼음골사과소고농원사과경남 밀양시 산내면 임고6길 71-5경남
4농산물우수관리인증(GAP)2012-11-23샛터농장사과전남 곡성군 옥과면 소룡길 256-50전남
5농산물우수관리인증(GAP)2020-01-31샛별한라봉농장감귤, 한라봉서귀포시 신효동 1143-1제주
6농산물우수관리인증(GAP)2012-11-23농업회사법인 곡성멜론(주)멜론,딸기전남 곡성군 곡성읍 곡고로 186전남
7농산물우수관리인증(GAP)2012-11-23양춘선식품감귤(3kg,5kg,10kg), 한라봉(3kg,5kg,10kg), 검은콩맛된장(1kg,2kg), 맛간장, 재래된장(1kg,2kg), 감귤비빔밥된장(1kg), 감귤진피가루(500g), 쑥미숫가루(600g), 쥐눈이콩 분말(600g)-연중 택배가능제주특별자치도 서귀포시 일주서로 1567번길 16제주
8농산물우수관리인증(GAP)2017-03-24윤지네유기농포도원포도상주시 모동면 덕곡리 1156경북
9농산물우수관리인증(GAP)2012-11-23서해영농조합쌀, 느타리버섯경기도 평택시 포승읍 홍원리 298-18경기
스타팜구분최초지정일생산자단체명생산농산물주소지역
314술픔질인증2012-11-23장생도라지도라지가공품경남 진주시 금곡면 정자천로 15번길 5경남
315술픔질인증2012-11-23울산탁주태화루탁주울산시 북구 염포로 237울산
316기타2012-11-23(주)외가집농업법인된장, 고추장, 간장, 손두부충남 부여군 옥산면 안서리 294충남
317기타2020-02-06농업회사법인(주)솔송주솔송주,담솔경남 함양군 지곡면 지곡창촌길 3경남
318기타2012-11-23백록다원우전,세작,중작,발효차,엽차,목욕용전남 보성군 회천면 봉강리 368-1전남
319기타2012-11-23진도전통식품한과, 떡전라남도 진도군 지산면 인지인천2길 6-15전남
320기타2017-03-14향적원전통장류, 장아찌류순창군 순창읍 백산리 265-53전북
321기타2012-11-23양지마을 오탄농장산란계, 유정란강원도 춘천시 사북면 오탄리 139-1강원
322기타2012-11-23그린토피아배, 배즙경기도 양평군 양서면 양수리 359경기
323기타2017-05-30대솔영농조합법인송이버섯, 송이버섯식품강원도 양양군 양양읍 청곡리 11-20강원