Overview

Dataset statistics

Number of variables9
Number of observations328
Missing cells654
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.2 KiB
Average record size in memory72.4 B

Variable types

Categorical3
DateTime1
Text5

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

Alerts

Unnamed: 7 has constant value ""Constant
Unnamed: 8 has constant value ""Constant
지역 is highly overall correlated with Unnamed: 6High correlation
Unnamed: 6 is highly overall correlated with 지역High correlation
Unnamed: 6 is highly imbalanced (79.6%)Imbalance
Unnamed: 7 has 327 (99.7%) missing valuesMissing
Unnamed: 8 has 327 (99.7%) missing valuesMissing

Reproduction

Analysis started2024-03-23 07:41:34.130324
Analysis finished2024-03-23 07:41:36.476859
Duration2.35 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)
86 
유기가공식품인증
38 
전통식품품질인증
29 
지리적표시등록
 
8
Other values (2)
 
12

Length

Max length14
Median length8
Mean length9.3658537
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
47.3%
농산물우수관리인증(GAP) 86
26.2%
유기가공식품인증 38
 
11.6%
전통식품품질인증 29
 
8.8%
지리적표시등록 8
 
2.4%
기타 8
 
2.4%
술픔질인증 4
 
1.2%

Length

2024-03-23T07:41:36.697114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:41:36.994446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
친환경농산물인증 155
47.3%
농산물우수관리인증(gap 86
26.2%
유기가공식품인증 38
 
11.6%
전통식품품질인증 29
 
8.8%
지리적표시등록 8
 
2.4%
기타 8
 
2.4%
술픔질인증 4
 
1.2%

최초지정일
Date

Distinct58
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2012-11-23 00:00:00
Maximum2022-05-17 00:00:00
2024-03-23T07:41:37.333831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:41:37.759517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산자단체명
Text

Distinct258
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:41:38.258053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.5335366
Min length3

Characters and Unicode

Total characters2471
Distinct characters341
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

Unique193 ?
Unique (%)58.8%

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%
영농조합법인 3
 
0.7%
향적원 3
 
0.7%
지리산과 3
 
0.7%
차 3
 
0.7%
곽씨네푸드 3
 
0.7%
농원 3
 
0.7%
Other values (289) 366
90.6%
2024-03-23T07:41:39.211793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 219
 
8.9%
원 89
 
3.6%
장 78
 
3.2%
77
 
3.1%
인 76
 
3.1%
법 70
 
2.8%
사 56
 
2.3%
영 54
 
2.2%
조 53
 
2.1%
합 53
 
2.1%
Other values (331) 1646
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2280
92.3%
Space Separator 77
 
3.1%
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 219
 
9.6%
원 89
 
3.9%
장 78
 
3.4%
인 76
 
3.3%
법 70
 
3.1%
사 56
 
2.5%
영 54
 
2.4%
조 53
 
2.3%
합 53
 
2.3%
주 40
 
1.8%
Other values (306) 1492
65.4%
Uppercase Letter
ValueCountFrequency (%)
M 4
12.5%
D 4
12.5%
Z 4
12.5%
E 4
12.5%
L 2
6.2%
O 2
6.2%
F 2
6.2%
T 2
6.2%
R 2
6.2%
W 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%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2281
92.3%
Common 154
 
6.2%
Latin 36
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 219
 
9.6%
원 89
 
3.9%
장 78
 
3.4%
인 76
 
3.3%
법 70
 
3.1%
사 56
 
2.5%
영 54
 
2.4%
조 53
 
2.3%
합 53
 
2.3%
주 40
 
1.8%
Other values (307) 1493
65.5%
Latin
ValueCountFrequency (%)
M 4
11.1%
D 4
11.1%
Z 4
11.1%
E 4
11.1%
L 2
 
5.6%
O 2
 
5.6%
F 2
 
5.6%
T 2
 
5.6%
R 2
 
5.6%
W 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 2280
92.3%
ASCII 190
 
7.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 219
 
9.6%
원 89
 
3.9%
장 78
 
3.4%
인 76
 
3.3%
법 70
 
3.1%
사 56
 
2.5%
영 54
 
2.4%
조 53
 
2.3%
합 53
 
2.3%
주 40
 
1.8%
Other values (306) 1492
65.4%
ASCII
ValueCountFrequency (%)
77
40.5%
) 35
18.4%
( 35
18.4%
M 4
 
2.1%
D 4
 
2.1%
Z 4
 
2.1%
E 4
 
2.1%
& 3
 
1.6%
L 2
 
1.1%
O 2
 
1.1%
Other values (14) 20
 
10.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

생산농산물
Text

Distinct201
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:41:39.842274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length40
Mean length9.5213415
Min length1

Characters and Unicode

Total characters3123
Distinct characters328
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

Unique128 ?
Unique (%)39.0%

Sample

1st row산마늘, 눈개승마
2nd row사과
3rd row사과
4th row사과
5th row바질, 상추, 꽃송이버섯 등
ValueCountFrequency (%)
사과 22
 
3.3%
등 21
 
3.1%
블루베리 18
 
2.7%
된장 17
 
2.5%
쌀 16
 
2.4%
포도 15
 
2.2%
단감 14
 
2.1%
고추장 14
 
2.1%
감귤 13
 
1.9%
딸기 11
 
1.6%
Other values (290) 515
76.2%
2024-03-23T07:41:41.014184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
367
 
11.8%
, 358
 
11.5%
장 85
 
2.7%
감 49
 
1.6%
기 46
 
1.5%
리 45
 
1.4%
과 42
 
1.3%
) 42
 
1.3%
( 42
 
1.3%
차 41
 
1.3%
Other values (318) 2006
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2181
69.8%
Other Punctuation 369
 
11.8%
Space Separator 367
 
11.8%
Lowercase Letter 61
 
2.0%
Decimal Number 52
 
1.7%
Close Punctuation 42
 
1.3%
Open Punctuation 42
 
1.3%
Dash Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 85
 
3.9%
감 49
 
2.2%
기 46
 
2.1%
리 45
 
2.1%
과 42
 
1.9%
차 41
 
1.9%
아 40
 
1.8%
고 40
 
1.8%
유 33
 
1.5%
추 32
 
1.5%
Other values (295) 1728
79.2%
Decimal Number
ValueCountFrequency (%)
0 14
26.9%
1 12
23.1%
5 10
19.2%
3 6
11.5%
2 4
 
7.7%
9 3
 
5.8%
6 2
 
3.8%
7 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 358
97.0%
. 7
 
1.9%
& 2
 
0.5%
: 1
 
0.3%
? 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
A 1
33.3%
G 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
g 32
52.5%
k 29
47.5%
Space Separator
ValueCountFrequency (%)
367
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2181
69.8%
Common 878
28.1%
Latin 64
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 85
 
3.9%
감 49
 
2.2%
기 46
 
2.1%
리 45
 
2.1%
과 42
 
1.9%
차 41
 
1.9%
아 40
 
1.8%
고 40
 
1.8%
유 33
 
1.5%
추 32
 
1.5%
Other values (295) 1728
79.2%
Common
ValueCountFrequency (%)
367
41.8%
, 358
40.8%
) 42
 
4.8%
( 42
 
4.8%
0 14
 
1.6%
1 12
 
1.4%
5 10
 
1.1%
. 7
 
0.8%
3 6
 
0.7%
- 5
 
0.6%
Other values (8) 15
 
1.7%
Latin
ValueCountFrequency (%)
g 32
50.0%
k 29
45.3%
P 1
 
1.6%
A 1
 
1.6%
G 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2181
69.8%
ASCII 942
30.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
367
39.0%
, 358
38.0%
) 42
 
4.5%
( 42
 
4.5%
g 32
 
3.4%
k 29
 
3.1%
0 14
 
1.5%
1 12
 
1.3%
5 10
 
1.1%
. 7
 
0.7%
Other values (13) 29
 
3.1%
Hangul
ValueCountFrequency (%)
장 85
 
3.9%
감 49
 
2.2%
기 46
 
2.1%
리 45
 
2.1%
과 42
 
1.9%
차 41
 
1.9%
아 40
 
1.8%
고 40
 
1.8%
유 33
 
1.5%
추 32
 
1.5%
Other values (295) 1728
79.2%

주소
Text

Distinct259
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-23T07:41:41.565088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length19.091463
Min length2

Characters and Unicode

Total characters6262
Distinct characters275
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

Unique195 ?
Unique (%)59.5%

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 (%)
경남 42
 
2.8%
전남 39
 
2.6%
경기도 18
 
1.2%
강원도 15
 
1.0%
제주시 15
 
1.0%
전북 15
 
1.0%
서귀포시 14
 
0.9%
충북 13
 
0.9%
충남 13
 
0.9%
제주특별자치도 12
 
0.8%
Other values (834) 1312
87.0%
2024-03-23T07:41:42.583546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1187
 
19.0%
1 259
 
4.1%
면 225
 
3.6%
리 199
 
3.2%
- 183
 
2.9%
시 164
 
2.6%
2 157
 
2.5%
군 150
 
2.4%
남 130
 
2.1%
3 125
 
2.0%
Other values (265) 3483
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3644
58.2%
Space Separator 1187
 
19.0%
Decimal Number 1185
 
18.9%
Dash Punctuation 183
 
2.9%
Other Punctuation 40
 
0.6%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 225
 
6.2%
리 199
 
5.5%
시 164
 
4.5%
군 150
 
4.1%
남 130
 
3.6%
산 94
 
2.6%
경 92
 
2.5%
도 84
 
2.3%
북 84
 
2.3%
천 82
 
2.3%
Other values (247) 2340
64.2%
Decimal Number
ValueCountFrequency (%)
1 259
21.9%
2 157
13.2%
3 125
10.5%
5 111
9.4%
4 111
9.4%
6 110
9.3%
0 96
 
8.1%
8 75
 
6.3%
7 72
 
6.1%
9 69
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 39
97.5%
: 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
g 4
57.1%
k 3
42.9%
Space Separator
ValueCountFrequency (%)
1187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3644
58.2%
Common 2611
41.7%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 225
 
6.2%
리 199
 
5.5%
시 164
 
4.5%
군 150
 
4.1%
남 130
 
3.6%
산 94
 
2.6%
경 92
 
2.5%
도 84
 
2.3%
북 84
 
2.3%
천 82
 
2.3%
Other values (247) 2340
64.2%
Common
ValueCountFrequency (%)
1187
45.5%
1 259
 
9.9%
- 183
 
7.0%
2 157
 
6.0%
3 125
 
4.8%
5 111
 
4.3%
4 111
 
4.3%
6 110
 
4.2%
0 96
 
3.7%
8 75
 
2.9%
Other values (6) 197
 
7.5%
Latin
ValueCountFrequency (%)
g 4
57.1%
k 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3644
58.2%
ASCII 2618
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1187
45.3%
1 259
 
9.9%
- 183
 
7.0%
2 157
 
6.0%
3 125
 
4.8%
5 111
 
4.2%
4 111
 
4.2%
6 110
 
4.2%
0 96
 
3.7%
8 75
 
2.9%
Other values (8) 204
 
7.8%
Hangul
ValueCountFrequency (%)
면 225
 
6.2%
리 199
 
5.5%
시 164
 
4.5%
군 150
 
4.1%
남 130
 
3.6%
산 94
 
2.6%
경 92
 
2.5%
도 84
 
2.3%
북 84
 
2.3%
천 82
 
2.3%
Other values (247) 2340
64.2%

지역
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
경남
57 
전남
48 
경북
38 
제주
31 
전북
28 
Other values (27)
126 

Length

Max length24
Median length2
Mean length3.3414634
Min length2

Unique

Unique15 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
경남 57
17.4%
전남 48
14.6%
경북 38
11.6%
제주 31
9.5%
전북 28
8.5%
강원 26
7.9%
충남 24
7.3%
경기 22
 
6.7%
충북 22
 
6.7%
전남 순천시 승주읍 구강리 833 3
 
0.9%
Other values (22) 29
8.8%

Length

2024-03-23T07:41:43.195158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전남 60
14.4%
경남 57
13.7%
경북 39
 
9.4%
제주 31
 
7.4%
전북 28
 
6.7%
강원 26
 
6.2%
충남 24
 
5.8%
경기 22
 
5.3%
충북 22
 
5.3%
순천시 7
 
1.7%
Other values (69) 101
24.2%

Unnamed: 6
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
300 
전남
 
12
전북
 
7
제주
 
3
충남
 
2
Other values (3)
 
4

Length

Max length6
Median length4
Mean length3.8414634
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 300
91.5%
전남 12
 
3.7%
전북 7
 
2.1%
제주 3
 
0.9%
충남 2
 
0.6%
경기 2
 
0.6%
경북 1
 
0.3%
마늘, 사과 1
 
0.3%

Length

2024-03-23T07:41:43.584285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:41:43.863926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 300
91.2%
전남 12
 
3.6%
전북 7
 
2.1%
제주 3
 
0.9%
충남 2
 
0.6%
경기 2
 
0.6%
경북 1
 
0.3%
마늘 1
 
0.3%
사과 1
 
0.3%

Unnamed: 7
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing327
Missing (%)99.7%
Memory size2.7 KiB
2024-03-23T07:41:44.196801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters18
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row경북 의성군 점곡면 윤암리 982
ValueCountFrequency (%)
경북 1
20.0%
의성군 1
20.0%
점곡면 1
20.0%
윤암리 1
20.0%
982 1
20.0%
2024-03-23T07:41:44.743390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
22.2%
경 1
 
5.6%
북 1
 
5.6%
의 1
 
5.6%
성 1
 
5.6%
군 1
 
5.6%
점 1
 
5.6%
곡 1
 
5.6%
면 1
 
5.6%
윤 1
 
5.6%
Other values (5) 5
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
61.1%
Space Separator 4
 
22.2%
Decimal Number 3
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1
9.1%
북 1
9.1%
의 1
9.1%
성 1
9.1%
군 1
9.1%
점 1
9.1%
곡 1
9.1%
면 1
9.1%
윤 1
9.1%
암 1
9.1%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
8 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
61.1%
Common 7
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1
9.1%
북 1
9.1%
의 1
9.1%
성 1
9.1%
군 1
9.1%
점 1
9.1%
곡 1
9.1%
면 1
9.1%
윤 1
9.1%
암 1
9.1%
Common
ValueCountFrequency (%)
4
57.1%
9 1
 
14.3%
8 1
 
14.3%
2 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
61.1%
ASCII 7
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
57.1%
9 1
 
14.3%
8 1
 
14.3%
2 1
 
14.3%
Hangul
ValueCountFrequency (%)
경 1
9.1%
북 1
9.1%
의 1
9.1%
성 1
9.1%
군 1
9.1%
점 1
9.1%
곡 1
9.1%
면 1
9.1%
윤 1
9.1%
암 1
9.1%

Unnamed: 8
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing327
Missing (%)99.7%
Memory size2.7 KiB
2024-03-23T07:41:45.013078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row경북
ValueCountFrequency (%)
경북 1
100.0%
2024-03-23T07:41:45.642108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 1
50.0%
북 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1
50.0%
북 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1
50.0%
북 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 1
50.0%
북 1
50.0%

Correlations

2024-03-23T07:41:45.889496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분최초지정일지역Unnamed: 6
스타팜구분1.0000.0000.0000.121
최초지정일0.0001.0000.6560.482
지역0.0000.6561.0001.000
Unnamed: 60.1210.4821.0001.000
2024-03-23T07:41:46.192616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역Unnamed: 6스타팜구분
지역1.0000.6170.000
Unnamed: 60.6171.0000.000
스타팜구분0.0000.0001.000
2024-03-23T07:41:46.387153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
스타팜구분지역Unnamed: 6
스타팜구분1.0000.0000.000
지역0.0001.0000.617
Unnamed: 60.0000.6171.000

Missing values

2024-03-23T07:41:35.540727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:41:36.007217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-23T07:41:36.329575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

스타팜구분최초지정일생산자단체명생산농산물주소지역Unnamed: 6Unnamed: 7Unnamed: 8
0농산물우수관리인증(GAP)2022-05-17강릉 안반데기 관광농원산마늘, 눈개승마강릉시 왕산면 안반데기1길 203강원<NA><NA><NA>
1농산물우수관리인증(GAP)2022-03-12항진굼벵이농장사과경남 밀양시 산내면 발례1길 58-60경남<NA><NA><NA>
2농산물우수관리인증(GAP)2022-03-12울산애플팜사과울산광역시 북구 동산길 120-1울산<NA><NA><NA>
3농산물우수관리인증(GAP)2022-03-12사과숲애사과경남 거창군 주상면 거기2길 124경남<NA><NA><NA>
4농산물우수관리인증(GAP)2022-02-18플랜티팜바질, 상추, 꽃송이버섯 등평택시 진위면 하북리 214-4경기<NA><NA><NA>
5농산물우수관리인증(GAP)2021-12-27바람개비딸기학교딸기, 딸기육묘전북 무주군 무주읍 오산리 227-3전북<NA><NA><NA>
6농산물우수관리인증(GAP)2020-02-10고천마실사과(사과파이,장아찌 등),콩(두부,막장 등)포항시 북구 죽장면 상옥리 981-2경북<NA><NA><NA>
7농산물우수관리인증(GAP)2020-02-07은성농장(농업회사법인 예산사과와인주식회사)사과, 사과와인(증류주)충남 예산군 고덕면 대천리 501충남<NA><NA><NA>
8농산물우수관리인증(GAP)2020-02-06얼음골사과소고농원사과경남 밀양시 산내면 임고6길 71-5경남<NA><NA><NA>
9농산물우수관리인증(GAP)2020-02-03용인청정farm블루베리경기도 용인시 처인구 원삼면 미평리 457경기<NA><NA><NA>
스타팜구분최초지정일생산자단체명생산농산물주소지역Unnamed: 6Unnamed: 7Unnamed: 8
318술픔질인증2012-11-23울산탁주태화루탁주울산시 북구 염포로 237울산<NA><NA><NA>
319술픔질인증2012-11-23장생도라지도라지가공품, 약주경남 진주시 금곡면 정자천로 15번길 5경남<NA><NA><NA>
320기타2020-02-06농업회사법인(주)솔송주솔송주경남 함양군 지곡면 지곡창촌길 3경남<NA><NA><NA>
321기타2017-05-30대솔영농조합법인송이버섯, 송이버섯식품강원도 양양군 양양읍 청곡리 11-20강원<NA><NA><NA>
322기타2017-03-14향적원전통장류, 장아찌류순창군 순창읍 백산리 265-53전북<NA><NA><NA>
323기타2012-11-23(주)외가집농업법인된장, 고추장, 간장, 손두부충남 부여군 옥산면 안서리 294충남<NA><NA><NA>
324기타2012-11-23진도전통식품한과, 떡전라남도 진도군 지산면 인지인천2길 6-15전남<NA><NA><NA>
325기타2012-11-23양지마을 오탄농장산란계, 유정란강원도 춘천시 사북면 오탄리 139-1강원<NA><NA><NA>
326기타2012-11-23그린토피아배, 배즙경기도 양평군 양서면 양수리 359경기<NA><NA><NA>
327기타2012-11-23백록다원우전,세작,중작,발효차,엽차,목욕용전남 보성군 회천면 봉강리 368-1전남<NA><NA><NA>