Overview

Dataset statistics

Number of variables15
Number of observations264
Missing cells506
Missing cells (%)12.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.1 KiB
Average record size in memory120.5 B

Variable types

Text11
Categorical4

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

인증종류1 is highly overall correlated with 인증종류2 and 1 other fieldsHigh correlation
인증종류2 is highly overall correlated with 인증종류1 and 1 other fieldsHigh correlation
인증종류3 is highly overall correlated with 인증종류1 and 1 other fieldsHigh correlation
인증종류3 is highly imbalanced (55.8%)Imbalance
출하시기3 is highly imbalanced (63.5%)Imbalance
출하시기1 has 3 (1.1%) missing valuesMissing
품목2 has 124 (47.0%) missing valuesMissing
출하시기2 has 123 (46.6%) missing valuesMissing
품목3 has 189 (71.6%) missing valuesMissing
전화번호 has 66 (25.0%) missing valuesMissing
지정번호 has unique valuesUnique
대표자 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:41:48.029257
Analysis finished2024-03-23 07:41:52.905692
Duration4.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Text

UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-23T07:41:53.383082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1848
Distinct characters13
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

Unique264 ?
Unique (%)100.0%

Sample

1st row제1-014호
2nd row제1-021호
3rd row제1-031호
4th row제1-034호
5th row제1-038호
ValueCountFrequency (%)
제1-014호 1
 
0.4%
제7-061호 1
 
0.4%
제8-025호 1
 
0.4%
제7-082호 1
 
0.4%
제7-029호 1
 
0.4%
제7-088호 1
 
0.4%
제7-034호 1
 
0.4%
제7-040호 1
 
0.4%
제7-042호 1
 
0.4%
제7-043호 1
 
0.4%
Other values (254) 254
96.2%
2024-03-23T07:41:54.547115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 283
15.3%
제 264
14.3%
- 264
14.3%
호 264
14.3%
1 123
6.7%
2 91
 
4.9%
8 88
 
4.8%
6 88
 
4.8%
3 82
 
4.4%
7 78
 
4.2%
Other values (3) 223
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1056
57.1%
Other Letter 528
28.6%
Dash Punctuation 264
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 283
26.8%
1 123
11.6%
2 91
 
8.6%
8 88
 
8.3%
6 88
 
8.3%
3 82
 
7.8%
7 78
 
7.4%
5 78
 
7.4%
4 77
 
7.3%
9 68
 
6.4%
Other Letter
ValueCountFrequency (%)
제 264
50.0%
호 264
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1320
71.4%
Hangul 528
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 283
21.4%
- 264
20.0%
1 123
9.3%
2 91
 
6.9%
8 88
 
6.7%
6 88
 
6.7%
3 82
 
6.2%
7 78
 
5.9%
5 78
 
5.9%
4 77
 
5.8%
Hangul
ValueCountFrequency (%)
제 264
50.0%
호 264
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1320
71.4%
Hangul 528
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 283
21.4%
- 264
20.0%
1 123
9.3%
2 91
 
6.9%
8 88
 
6.7%
6 88
 
6.7%
3 82
 
6.2%
7 78
 
5.9%
5 78
 
5.9%
4 77
 
5.8%
Hangul
ValueCountFrequency (%)
제 264
50.0%
호 264
50.0%

농장(업체)명
Text

Distinct263
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-23T07:41:54.956757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.1893939
Min length2

Characters and Unicode

Total characters1898
Distinct characters325
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

Unique262 ?
Unique (%)99.2%

Sample

1st row은성관광농원
2nd row서해영농조합법인
3rd row서일농원
4th row참포도농원
5th row초록향기
ValueCountFrequency (%)
농업회사법인 11
 
3.7%
양지농원 2
 
0.7%
까치락골농원 1
 
0.3%
까브스토리 1
 
0.3%
속리산자연농원 1
 
0.3%
블루팜 1
 
0.3%
윤지네유기농포도원 1
 
0.3%
봉강교육농장 1
 
0.3%
오손도손 1
 
0.3%
뚝배기식품 1
 
0.3%
Other values (274) 274
92.9%
2024-03-23T07:41:55.812720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 181
 
9.5%
원 75
 
4.0%
인 66
 
3.5%
법 63
 
3.3%
장 55
 
2.9%
영 48
 
2.5%
조 47
 
2.5%
합 46
 
2.4%
사 45
 
2.4%
31
 
1.6%
Other values (315) 1241
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1819
95.8%
Space Separator 31
 
1.6%
Other Symbol 17
 
0.9%
Open Punctuation 9
 
0.5%
Close Punctuation 9
 
0.5%
Lowercase Letter 4
 
0.2%
Decimal Number 3
 
0.2%
Other Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 181
 
10.0%
원 75
 
4.1%
인 66
 
3.6%
법 63
 
3.5%
장 55
 
3.0%
영 48
 
2.6%
조 47
 
2.6%
합 46
 
2.5%
사 45
 
2.5%
회 29
 
1.6%
Other values (299) 1164
64.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
25.0%
r 1
25.0%
a 1
25.0%
f 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
, 1
33.3%
/ 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1836
96.7%
Common 55
 
2.9%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 181
 
9.9%
원 75
 
4.1%
인 66
 
3.6%
법 63
 
3.4%
장 55
 
3.0%
영 48
 
2.6%
조 47
 
2.6%
합 46
 
2.5%
사 45
 
2.5%
회 29
 
1.6%
Other values (300) 1181
64.3%
Common
ValueCountFrequency (%)
31
56.4%
( 9
 
16.4%
) 9
 
16.4%
2 2
 
3.6%
3 1
 
1.8%
& 1
 
1.8%
, 1
 
1.8%
/ 1
 
1.8%
Latin
ValueCountFrequency (%)
Z 1
14.3%
M 1
14.3%
D 1
14.3%
m 1
14.3%
r 1
14.3%
a 1
14.3%
f 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1819
95.8%
ASCII 62
 
3.3%
None 17
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 181
 
10.0%
원 75
 
4.1%
인 66
 
3.6%
법 63
 
3.5%
장 55
 
3.0%
영 48
 
2.6%
조 47
 
2.6%
합 46
 
2.5%
사 45
 
2.5%
회 29
 
1.6%
Other values (299) 1164
64.0%
ASCII
ValueCountFrequency (%)
31
50.0%
( 9
 
14.5%
) 9
 
14.5%
2 2
 
3.2%
3 1
 
1.6%
& 1
 
1.6%
Z 1
 
1.6%
M 1
 
1.6%
D 1
 
1.6%
m 1
 
1.6%
Other values (5) 5
 
8.1%
None
ValueCountFrequency (%)
㈜ 17
100.0%

대표자
Text

UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-23T07:41:56.474789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.1742424
Min length3

Characters and Unicode

Total characters838
Distinct characters150
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)100.0%

Sample

1st row이은재
2nd row박선이
3rd row서분례, 최소영
4th row백이남
5th row이철종, 이미숙
ValueCountFrequency (%)
이은재 1
 
0.4%
김주영 1
 
0.4%
김제경 1
 
0.4%
김광식 1
 
0.4%
최윤지 1
 
0.4%
이근홍 1
 
0.4%
김영식 1
 
0.4%
유병운 1
 
0.4%
임채만 1
 
0.4%
김석훈 1
 
0.4%
Other values (263) 263
96.3%
2024-03-23T07:41:57.570487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 52
 
6.2%
이 49
 
5.8%
영 30
 
3.6%
박 28
 
3.3%
정 22
 
2.6%
순 20
 
2.4%
수 17
 
2.0%
종 17
 
2.0%
최 16
 
1.9%
윤 15
 
1.8%
Other values (140) 572
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 819
97.7%
Space Separator 9
 
1.1%
Other Punctuation 8
 
1.0%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 52
 
6.3%
이 49
 
6.0%
영 30
 
3.7%
박 28
 
3.4%
정 22
 
2.7%
순 20
 
2.4%
수 17
 
2.1%
종 17
 
2.1%
최 16
 
2.0%
윤 15
 
1.8%
Other values (136) 553
67.5%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 819
97.7%
Common 19
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 52
 
6.3%
이 49
 
6.0%
영 30
 
3.7%
박 28
 
3.4%
정 22
 
2.7%
순 20
 
2.4%
수 17
 
2.1%
종 17
 
2.1%
최 16
 
2.0%
윤 15
 
1.8%
Other values (136) 553
67.5%
Common
ValueCountFrequency (%)
9
47.4%
, 8
42.1%
( 1
 
5.3%
) 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 819
97.7%
ASCII 19
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 52
 
6.3%
이 49
 
6.0%
영 30
 
3.7%
박 28
 
3.4%
정 22
 
2.7%
순 20
 
2.4%
수 17
 
2.1%
종 17
 
2.1%
최 16
 
2.0%
윤 15
 
1.8%
Other values (136) 553
67.5%
ASCII
ValueCountFrequency (%)
9
47.4%
, 8
42.1%
( 1
 
5.3%
) 1
 
5.3%

소재지
Text

UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-23T07:41:58.223540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length20.07197
Min length12

Characters and Unicode

Total characters5299
Distinct characters268
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

Unique264 ?
Unique (%)100.0%

Sample

1st row경기도 화성시 송산면 고정리 627-3
2nd row경기도 평택시 포승읍 홍원농깨길 119-10
3rd row경기도 안성시 일죽면 금일로 332-17
4th row경기도 안성시 서운면 바우덕이로 290-9
5th row경기도 남양주시 조안면 북한강로383번길 59-11
ValueCountFrequency (%)
경남 43
 
3.3%
전남 43
 
3.3%
경북 32
 
2.5%
전북 28
 
2.2%
강원도 26
 
2.0%
충남 21
 
1.6%
경기도 18
 
1.4%
서귀포시 18
 
1.4%
충북 17
 
1.3%
제주시 13
 
1.0%
Other values (824) 1034
80.0%
2024-03-23T07:41:59.321859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1031
 
19.5%
1 215
 
4.1%
면 188
 
3.5%
시 148
 
2.8%
길 147
 
2.8%
2 145
 
2.7%
남 136
 
2.6%
- 135
 
2.5%
군 123
 
2.3%
3 119
 
2.2%
Other values (258) 2912
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3097
58.4%
Space Separator 1031
 
19.5%
Decimal Number 1019
 
19.2%
Dash Punctuation 135
 
2.5%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 188
 
6.1%
시 148
 
4.8%
길 147
 
4.7%
남 136
 
4.4%
군 123
 
4.0%
로 117
 
3.8%
경 100
 
3.2%
북 99
 
3.2%
산 86
 
2.8%
전 79
 
2.6%
Other values (241) 1874
60.5%
Decimal Number
ValueCountFrequency (%)
1 215
21.1%
2 145
14.2%
3 119
11.7%
4 99
9.7%
5 91
8.9%
6 76
 
7.5%
0 75
 
7.4%
7 71
 
7.0%
9 66
 
6.5%
8 62
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
: 1
 
20.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1031
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3097
58.4%
Common 2202
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 188
 
6.1%
시 148
 
4.8%
길 147
 
4.7%
남 136
 
4.4%
군 123
 
4.0%
로 117
 
3.8%
경 100
 
3.2%
북 99
 
3.2%
산 86
 
2.8%
전 79
 
2.6%
Other values (241) 1874
60.5%
Common
ValueCountFrequency (%)
1031
46.8%
1 215
 
9.8%
2 145
 
6.6%
- 135
 
6.1%
3 119
 
5.4%
4 99
 
4.5%
5 91
 
4.1%
6 76
 
3.5%
0 75
 
3.4%
7 71
 
3.2%
Other values (7) 145
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3097
58.4%
ASCII 2202
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1031
46.8%
1 215
 
9.8%
2 145
 
6.6%
- 135
 
6.1%
3 119
 
5.4%
4 99
 
4.5%
5 91
 
4.1%
6 76
 
3.5%
0 75
 
3.4%
7 71
 
3.2%
Other values (7) 145
 
6.6%
Hangul
ValueCountFrequency (%)
면 188
 
6.1%
시 148
 
4.8%
길 147
 
4.7%
남 136
 
4.4%
군 123
 
4.0%
로 117
 
3.8%
경 100
 
3.2%
북 99
 
3.2%
산 86
 
2.8%
전 79
 
2.6%
Other values (241) 1874
60.5%

체험프로그램
Text

Distinct258
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-23T07:41:59.928205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length38
Mean length15.840909
Min length4

Characters and Unicode

Total characters4182
Distinct characters387
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)95.8%

Sample

1st row포도·블루베리 수확, 포도청·블루베리청 만들기 등
2nd row버섯따기, 쌀요거트만들기
3rd row슬로우푸드(전통식품)체험
4th row자연치유(포도따기) 체험
5th row딸기잼,고구마,김장담금기 등
ValueCountFrequency (%)
체험 63
 
7.3%
만들기 55
 
6.4%
및 37
 
4.3%
등 30
 
3.5%
수확 28
 
3.2%
수확체험 15
 
1.7%
사과따기 9
 
1.0%
견학 9
 
1.0%
따기 9
 
1.0%
고추장 7
 
0.8%
Other values (493) 602
69.7%
2024-03-23T07:42:00.746292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
609
 
14.6%
기 308
 
7.4%
, 248
 
5.9%
만 160
 
3.8%
들 159
 
3.8%
체 149
 
3.6%
험 148
 
3.5%
수 105
 
2.5%
확 94
 
2.2%
장 60
 
1.4%
Other values (377) 2142
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3255
77.8%
Space Separator 609
 
14.6%
Other Punctuation 262
 
6.3%
Open Punctuation 24
 
0.6%
Close Punctuation 24
 
0.6%
Decimal Number 4
 
0.1%
Uppercase Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 308
 
9.5%
만 160
 
4.9%
들 159
 
4.9%
체 149
 
4.6%
험 148
 
4.5%
수 105
 
3.2%
확 94
 
2.9%
장 60
 
1.8%
과 55
 
1.7%
따 41
 
1.3%
Other values (361) 1976
60.7%
Other Punctuation
ValueCountFrequency (%)
, 248
94.7%
· 8
 
3.1%
& 2
 
0.8%
/ 2
 
0.8%
. 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
6 1
25.0%
2 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
Z 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
609
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3255
77.8%
Common 924
 
22.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 308
 
9.5%
만 160
 
4.9%
들 159
 
4.9%
체 149
 
4.6%
험 148
 
4.5%
수 105
 
3.2%
확 94
 
2.9%
장 60
 
1.8%
과 55
 
1.7%
따 41
 
1.3%
Other values (361) 1976
60.7%
Common
ValueCountFrequency (%)
609
65.9%
, 248
26.8%
( 24
 
2.6%
) 24
 
2.6%
· 8
 
0.9%
& 2
 
0.2%
/ 2
 
0.2%
. 2
 
0.2%
- 1
 
0.1%
5 1
 
0.1%
Other values (3) 3
 
0.3%
Latin
ValueCountFrequency (%)
M 1
33.3%
Z 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3230
77.2%
ASCII 919
 
22.0%
Compat Jamo 25
 
0.6%
None 8
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
609
66.3%
, 248
27.0%
( 24
 
2.6%
) 24
 
2.6%
& 2
 
0.2%
/ 2
 
0.2%
. 2
 
0.2%
- 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
Other values (5) 5
 
0.5%
Hangul
ValueCountFrequency (%)
기 308
 
9.5%
만 160
 
5.0%
들 159
 
4.9%
체 149
 
4.6%
험 148
 
4.6%
수 105
 
3.3%
확 94
 
2.9%
장 60
 
1.9%
과 55
 
1.7%
따 41
 
1.3%
Other values (360) 1951
60.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 25
100.0%
None
ValueCountFrequency (%)
· 8
100.0%

품목1
Text

Distinct125
Distinct (%)47.5%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2024-03-23T07:42:01.276057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length2.973384
Min length1

Characters and Unicode

Total characters782
Distinct characters202
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)33.5%

Sample

1st row블루베리
2nd row목이버섯
3rd row청국장
4th row포도
5th row딸기
ValueCountFrequency (%)
사과 19
 
7.0%
블루베리 13
 
4.8%
감귤 13
 
4.8%
딸기 12
 
4.4%
단감 9
 
3.3%
배 8
 
2.9%
포도 8
 
2.9%
쌀 8
 
2.9%
표고버섯 7
 
2.6%
된장 7
 
2.6%
Other values (121) 168
61.8%
2024-03-23T07:42:02.120936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
감 29
 
3.7%
과 28
 
3.6%
장 23
 
2.9%
사 20
 
2.6%
리 19
 
2.4%
차 17
 
2.2%
루 17
 
2.2%
고 16
 
2.0%
기 16
 
2.0%
섯 16
 
2.0%
Other values (192) 581
74.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 750
95.9%
Space Separator 9
 
1.2%
Open Punctuation 7
 
0.9%
Close Punctuation 7
 
0.9%
Decimal Number 5
 
0.6%
Other Punctuation 3
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
감 29
 
3.9%
과 28
 
3.7%
장 23
 
3.1%
사 20
 
2.7%
리 19
 
2.5%
차 17
 
2.3%
루 17
 
2.3%
고 16
 
2.1%
기 16
 
2.1%
섯 16
 
2.1%
Other values (181) 549
73.2%
Decimal Number
ValueCountFrequency (%)
3 1
20.0%
4 1
20.0%
2 1
20.0%
1 1
20.0%
7 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 750
95.9%
Common 32
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
감 29
 
3.9%
과 28
 
3.7%
장 23
 
3.1%
사 20
 
2.7%
리 19
 
2.5%
차 17
 
2.3%
루 17
 
2.3%
고 16
 
2.1%
기 16
 
2.1%
섯 16
 
2.1%
Other values (181) 549
73.2%
Common
ValueCountFrequency (%)
9
28.1%
( 7
21.9%
) 7
21.9%
, 2
 
6.2%
3 1
 
3.1%
4 1
 
3.1%
~ 1
 
3.1%
2 1
 
3.1%
1 1
 
3.1%
7 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 750
95.9%
ASCII 31
 
4.0%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
감 29
 
3.9%
과 28
 
3.7%
장 23
 
3.1%
사 20
 
2.7%
리 19
 
2.5%
차 17
 
2.3%
루 17
 
2.3%
고 16
 
2.1%
기 16
 
2.1%
섯 16
 
2.1%
Other values (181) 549
73.2%
ASCII
ValueCountFrequency (%)
9
29.0%
( 7
22.6%
) 7
22.6%
, 2
 
6.5%
3 1
 
3.2%
4 1
 
3.2%
~ 1
 
3.2%
2 1
 
3.2%
1 1
 
3.2%
7 1
 
3.2%
None
ValueCountFrequency (%)
· 1
100.0%

인증종류1
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
유기농산물
83 
GAP
63 
무농약
46 
전통식품
22 
유기가공
21 
Other values (12)
29 

Length

Max length6
Median length5
Mean length3.9280303
Min length3

Unique

Unique6 ?
Unique (%)2.3%

Sample

1st row무농약
2nd row무농약
3rd row전통식품
4th row유기농산물
5th row유기농산물

Common Values

ValueCountFrequency (%)
유기농산물 83
31.4%
GAP 63
23.9%
무농약 46
17.4%
전통식품 22
 
8.3%
유기가공 21
 
8.0%
6차산업 8
 
3.0%
무항생제 4
 
1.5%
술품질인증 4
 
1.5%
지리적표시 3
 
1.1%
<NA> 2
 
0.8%
Other values (7) 8
 
3.0%

Length

2024-03-23T07:42:02.372674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유기농산물 83
31.4%
gap 63
23.9%
무농약 46
17.4%
전통식품 22
 
8.3%
유기가공 21
 
8.0%
6차산업 8
 
3.0%
무항생제 4
 
1.5%
술품질인증 4
 
1.5%
지리적표시 3
 
1.1%
na 2
 
0.8%
Other values (7) 8
 
3.0%

출하시기1
Text

MISSING 

Distinct106
Distinct (%)40.6%
Missing3
Missing (%)1.1%
Memory size2.2 KiB
2024-03-23T07:42:02.860981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length4.1340996
Min length1

Characters and Unicode

Total characters1079
Distinct characters38
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)28.0%

Sample

1st row6-7월
2nd row연중
3rd row연중
4th row8-9월
5th row1-5월
ValueCountFrequency (%)
연중 99
36.3%
10월 6
 
2.2%
10월~11월 5
 
1.8%
10~이듬해1월 5
 
1.8%
9-10월 5
 
1.8%
10~이듬해2월 5
 
1.8%
6-7월 4
 
1.5%
10-11월 4
 
1.5%
1~12월 4
 
1.5%
9~11월 4
 
1.5%
Other values (96) 132
48.4%
2024-03-23T07:42:03.787339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 188
17.4%
월 180
16.7%
중 102
9.5%
연 101
9.4%
~ 89
8.2%
0 58
 
5.4%
- 53
 
4.9%
2 41
 
3.8%
9 37
 
3.4%
5 28
 
2.6%
Other values (28) 202
18.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
43.7%
Decimal Number 435
40.3%
Math Symbol 89
 
8.2%
Dash Punctuation 53
 
4.9%
Space Separator 17
 
1.6%
Other Punctuation 7
 
0.6%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 180
38.1%
중 102
21.6%
연 101
21.4%
해 17
 
3.6%
듬 17
 
3.6%
이 17
 
3.6%
익 9
 
1.9%
년 9
 
1.9%
순 3
 
0.6%
시 3
 
0.6%
Other values (10) 14
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 188
43.2%
0 58
 
13.3%
2 41
 
9.4%
9 37
 
8.5%
5 28
 
6.4%
6 26
 
6.0%
8 18
 
4.1%
7 17
 
3.9%
4 14
 
3.2%
3 8
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 2
28.6%
/ 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
~ 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 607
56.3%
Hangul 472
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 180
38.1%
중 102
21.6%
연 101
21.4%
해 17
 
3.6%
듬 17
 
3.6%
이 17
 
3.6%
익 9
 
1.9%
년 9
 
1.9%
순 3
 
0.6%
시 3
 
0.6%
Other values (10) 14
 
3.0%
Common
ValueCountFrequency (%)
1 188
31.0%
~ 89
14.7%
0 58
 
9.6%
- 53
 
8.7%
2 41
 
6.8%
9 37
 
6.1%
5 28
 
4.6%
6 26
 
4.3%
8 18
 
3.0%
17
 
2.8%
Other values (8) 52
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 607
56.3%
Hangul 472
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 188
31.0%
~ 89
14.7%
0 58
 
9.6%
- 53
 
8.7%
2 41
 
6.8%
9 37
 
6.1%
5 28
 
4.6%
6 26
 
4.3%
8 18
 
3.0%
17
 
2.8%
Other values (8) 52
 
8.6%
Hangul
ValueCountFrequency (%)
월 180
38.1%
중 102
21.6%
연 101
21.4%
해 17
 
3.6%
듬 17
 
3.6%
이 17
 
3.6%
익 9
 
1.9%
년 9
 
1.9%
순 3
 
0.6%
시 3
 
0.6%
Other values (10) 14
 
3.0%

품목2
Text

MISSING 

Distinct97
Distinct (%)69.3%
Missing124
Missing (%)47.0%
Memory size2.2 KiB
2024-03-23T07:42:04.379548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length3.1857143
Min length1

Characters and Unicode

Total characters446
Distinct characters151
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)53.6%

Sample

1st row포도
2nd row표고버섯
3rd row고추
4th row고추
5th row느타리버섯
ValueCountFrequency (%)
감귤 5
 
3.5%
녹차 4
 
2.8%
블루베리 4
 
2.8%
된장 4
 
2.8%
한라봉 4
 
2.8%
포도 4
 
2.8%
간장 3
 
2.1%
감자 3
 
2.1%
떫은감 3
 
2.1%
고추장 3
 
2.1%
Other values (90) 106
74.1%
2024-03-23T07:42:05.345388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
감 16
 
3.6%
장 16
 
3.6%
고 16
 
3.6%
리 13
 
2.9%
류 11
 
2.5%
추 10
 
2.2%
라 9
 
2.0%
버 9
 
2.0%
도 8
 
1.8%
자 8
 
1.8%
Other values (141) 330
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
97.8%
Other Punctuation 5
 
1.1%
Space Separator 3
 
0.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
감 16
 
3.7%
장 16
 
3.7%
고 16
 
3.7%
리 13
 
3.0%
류 11
 
2.5%
추 10
 
2.3%
라 9
 
2.1%
버 9
 
2.1%
도 8
 
1.8%
자 8
 
1.8%
Other values (137) 320
73.4%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
97.8%
Common 10
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
감 16
 
3.7%
장 16
 
3.7%
고 16
 
3.7%
리 13
 
3.0%
류 11
 
2.5%
추 10
 
2.3%
라 9
 
2.1%
버 9
 
2.1%
도 8
 
1.8%
자 8
 
1.8%
Other values (137) 320
73.4%
Common
ValueCountFrequency (%)
, 5
50.0%
3
30.0%
) 1
 
10.0%
( 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
97.8%
ASCII 10
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
감 16
 
3.7%
장 16
 
3.7%
고 16
 
3.7%
리 13
 
3.0%
류 11
 
2.5%
추 10
 
2.3%
라 9
 
2.1%
버 9
 
2.1%
도 8
 
1.8%
자 8
 
1.8%
Other values (137) 320
73.4%
ASCII
ValueCountFrequency (%)
, 5
50.0%
3
30.0%
) 1
 
10.0%
( 1
 
10.0%

인증종류2
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
122 
유기농산물
45 
무농약
27 
유기가공
20 
GAP
19 
Other values (12)
31 

Length

Max length6
Median length4
Mean length4.0075758
Min length1

Unique

Unique9 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 122
46.2%
유기농산물 45
 
17.0%
무농약 27
 
10.2%
유기가공 20
 
7.6%
GAP 19
 
7.2%
전통식품 14
 
5.3%
6차산업 6
 
2.3%
지리적표시 2
 
0.8%
친환경 1
 
0.4%
무항생제 1
 
0.4%
Other values (7) 7
 
2.7%

Length

2024-03-23T07:42:05.599058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 122
46.4%
유기농산물 45
 
17.1%
무농약 27
 
10.3%
유기가공 20
 
7.6%
gap 19
 
7.2%
전통식품 14
 
5.3%
6차산업 6
 
2.3%
지리적표시 2
 
0.8%
친환경 1
 
0.4%
무항생제 1
 
0.4%
Other values (6) 6
 
2.3%

출하시기2
Text

MISSING 

Distinct63
Distinct (%)44.7%
Missing123
Missing (%)46.6%
Memory size2.2 KiB
2024-03-23T07:42:05.950353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length3.8085106
Min length1

Characters and Unicode

Total characters537
Distinct characters33
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)31.9%

Sample

1st row8-10월
2nd row연중
3rd row8월
4th row10-4월
5th row연중
ValueCountFrequency (%)
연중 57
38.8%
6~7월 4
 
2.7%
11월 3
 
2.0%
12~이듬해2월 3
 
2.0%
6월 3
 
2.0%
1월-12월 3
 
2.0%
10월 3
 
2.0%
9월 3
 
2.0%
2
 
1.4%
8~9월 2
 
1.4%
Other values (55) 64
43.5%
2024-03-23T07:42:06.759269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 97
18.1%
1 81
15.1%
연 58
10.8%
중 58
10.8%
~ 40
7.4%
- 27
 
5.0%
2 26
 
4.8%
0 25
 
4.7%
6 15
 
2.8%
9 14
 
2.6%
Other values (23) 96
17.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
45.8%
Decimal Number 208
38.7%
Math Symbol 40
 
7.4%
Dash Punctuation 27
 
5.0%
Space Separator 7
 
1.3%
Other Punctuation 5
 
0.9%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 97
39.4%
연 58
23.6%
중 58
23.6%
이 7
 
2.8%
듬 7
 
2.8%
해 7
 
2.8%
상 2
 
0.8%
시 2
 
0.8%
동 1
 
0.4%
냉 1
 
0.4%
Other values (6) 6
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 81
38.9%
2 26
 
12.5%
0 25
 
12.0%
6 15
 
7.2%
9 14
 
6.7%
8 12
 
5.8%
7 11
 
5.3%
5 11
 
5.3%
4 8
 
3.8%
3 5
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
~ 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 291
54.2%
Hangul 246
45.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 81
27.8%
~ 40
13.7%
- 27
 
9.3%
2 26
 
8.9%
0 25
 
8.6%
6 15
 
5.2%
9 14
 
4.8%
8 12
 
4.1%
7 11
 
3.8%
5 11
 
3.8%
Other values (7) 29
 
10.0%
Hangul
ValueCountFrequency (%)
월 97
39.4%
연 58
23.6%
중 58
23.6%
이 7
 
2.8%
듬 7
 
2.8%
해 7
 
2.8%
상 2
 
0.8%
시 2
 
0.8%
동 1
 
0.4%
냉 1
 
0.4%
Other values (6) 6
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
54.2%
Hangul 246
45.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 97
39.4%
연 58
23.6%
중 58
23.6%
이 7
 
2.8%
듬 7
 
2.8%
해 7
 
2.8%
상 2
 
0.8%
시 2
 
0.8%
동 1
 
0.4%
냉 1
 
0.4%
Other values (6) 6
 
2.4%
ASCII
ValueCountFrequency (%)
1 81
27.8%
~ 40
13.7%
- 27
 
9.3%
2 26
 
8.9%
0 25
 
8.6%
6 15
 
5.2%
9 14
 
4.8%
8 12
 
4.1%
7 11
 
3.8%
5 11
 
3.8%
Other values (7) 29
 
10.0%

품목3
Text

MISSING 

Distinct65
Distinct (%)86.7%
Missing189
Missing (%)71.6%
Memory size2.2 KiB
2024-03-23T07:42:07.211277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length3.4133333
Min length1

Characters and Unicode

Total characters256
Distinct characters137
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)77.3%

Sample

1st row영지버섯
2nd row상추
3rd row쌀
4th row노루궁뎅이버섯
5th row들깨
ValueCountFrequency (%)
간장 3
 
3.9%
고추장 3
 
3.9%
매실 3
 
3.9%
쌀 2
 
2.6%
레드키위 2
 
2.6%
배추 2
 
2.6%
마늘 2
 
2.6%
떫은감 1
 
1.3%
두부 1
 
1.3%
함초환,분말 1
 
1.3%
Other values (56) 56
73.7%
2024-03-23T07:42:08.146799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
추 8
 
3.1%
기 6
 
2.3%
고 6
 
2.3%
장 6
 
2.3%
리 6
 
2.3%
마 6
 
2.3%
차 5
 
2.0%
5
 
2.0%
, 5
 
2.0%
이 5
 
2.0%
Other values (127) 198
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
94.5%
Space Separator 5
 
2.0%
Other Punctuation 5
 
2.0%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
추 8
 
3.3%
기 6
 
2.5%
고 6
 
2.5%
장 6
 
2.5%
리 6
 
2.5%
마 6
 
2.5%
차 5
 
2.1%
이 5
 
2.1%
루 4
 
1.7%
즙 3
 
1.2%
Other values (123) 187
77.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
94.5%
Common 14
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
추 8
 
3.3%
기 6
 
2.5%
고 6
 
2.5%
장 6
 
2.5%
리 6
 
2.5%
마 6
 
2.5%
차 5
 
2.1%
이 5
 
2.1%
루 4
 
1.7%
즙 3
 
1.2%
Other values (123) 187
77.3%
Common
ValueCountFrequency (%)
5
35.7%
, 5
35.7%
( 2
 
14.3%
) 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
94.5%
ASCII 14
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
추 8
 
3.3%
기 6
 
2.5%
고 6
 
2.5%
장 6
 
2.5%
리 6
 
2.5%
마 6
 
2.5%
차 5
 
2.1%
이 5
 
2.1%
루 4
 
1.7%
즙 3
 
1.2%
Other values (123) 187
77.3%
ASCII
ValueCountFrequency (%)
5
35.7%
, 5
35.7%
( 2
 
14.3%
) 2
 
14.3%

인증종류3
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
189 
유기농산물
21 
무농약
 
13
전통식품
 
10
유기가공
 
9
Other values (10)
22 

Length

Max length6
Median length4
Mean length4.0037879
Min length1

Unique

Unique6 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 189
71.6%
유기농산물 21
 
8.0%
무농약 13
 
4.9%
전통식품 10
 
3.8%
유기가공 9
 
3.4%
GAP 8
 
3.0%
6차산업 4
 
1.5%
지리적표시 2
 
0.8%
무항생제 2
 
0.8%
기타 1
 
0.4%
Other values (5) 5
 
1.9%

Length

2024-03-23T07:42:08.551396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 189
71.9%
유기농산물 21
 
8.0%
무농약 13
 
4.9%
전통식품 10
 
3.8%
유기가공 9
 
3.4%
gap 8
 
3.0%
6차산업 4
 
1.5%
지리적표시 2
 
0.8%
무항생제 2
 
0.8%
기타 1
 
0.4%
Other values (4) 4
 
1.5%

출하시기3
Categorical

IMBALANCE 

Distinct36
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
191 
연중
33 
11월
 
2
6~7월
 
2
1-12월
 
2
Other values (31)
34 

Length

Max length23
Median length4
Mean length3.9469697
Min length2

Unique

Unique28 ?
Unique (%)10.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 191
72.3%
연중 33
 
12.5%
11월 2
 
0.8%
6~7월 2
 
0.8%
1-12월 2
 
0.8%
10~11월 2
 
0.8%
1월-12월 2
 
0.8%
9-11월 2
 
0.8%
10~12월 1
 
0.4%
5~6월 1
 
0.4%
Other values (26) 26
 
9.8%

Length

2024-03-23T07:42:08.963608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 191
71.0%
연중 33
 
12.3%
11월 2
 
0.7%
6~7월 2
 
0.7%
1-12월 2
 
0.7%
10~11월 2
 
0.7%
1월-12월 2
 
0.7%
9-11월 2
 
0.7%
10월 2
 
0.7%
6월 1
 
0.4%
Other values (30) 30
 
11.2%

전화번호
Text

MISSING 

Distinct198
Distinct (%)100.0%
Missing66
Missing (%)25.0%
Memory size2.2 KiB
2024-03-23T07:42:09.494482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.005051
Min length9

Characters and Unicode

Total characters2377
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

Unique198 ?
Unique (%)100.0%

Sample

1st row031-357-1097
2nd row031-683-7433
3rd row031-673-3171
4th row031-672-9121
5th row031-576-8702
ValueCountFrequency (%)
033-682-2301 1
 
0.5%
054-833-3006 1
 
0.5%
054-977-3900 1
 
0.5%
061-536-5537 1
 
0.5%
061-534-2434 1
 
0.5%
061-532-4179 1
 
0.5%
061-372-8998 1
 
0.5%
061-373-9604 1
 
0.5%
054-262-6257 1
 
0.5%
054-775-2166 1
 
0.5%
Other values (188) 188
94.9%
2024-03-23T07:42:10.406768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 395
16.6%
0 317
13.3%
3 304
12.8%
5 249
10.5%
6 209
8.8%
4 206
8.7%
1 158
 
6.6%
8 157
 
6.6%
2 154
 
6.5%
7 137
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1982
83.4%
Dash Punctuation 395
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 317
16.0%
3 304
15.3%
5 249
12.6%
6 209
10.5%
4 206
10.4%
1 158
8.0%
8 157
7.9%
2 154
7.8%
7 137
6.9%
9 91
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 395
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 395
16.6%
0 317
13.3%
3 304
12.8%
5 249
10.5%
6 209
8.8%
4 206
8.7%
1 158
 
6.6%
8 157
 
6.6%
2 154
 
6.5%
7 137
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 395
16.6%
0 317
13.3%
3 304
12.8%
5 249
10.5%
6 209
8.8%
4 206
8.7%
1 158
 
6.6%
8 157
 
6.6%
2 154
 
6.5%
7 137
 
5.8%

Correlations

2024-03-23T07:42:10.680951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증종류1품목2인증종류2출하시기2품목3인증종류3출하시기3
인증종류11.0000.9650.9740.0000.9710.9650.000
품목20.9651.0000.9860.7220.9970.9880.903
인증종류20.9740.9861.0000.6440.9850.9750.000
출하시기20.0000.7220.6441.0000.9720.0000.991
품목30.9710.9970.9850.9721.0000.9900.000
인증종류30.9650.9880.9750.0000.9901.0000.000
출하시기30.0000.9030.0000.9910.0000.0001.000
2024-03-23T07:42:10.966378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증종류1인증종류3출하시기3인증종류2
인증종류11.0000.8250.0000.837
인증종류30.8251.0000.0000.850
출하시기30.0000.0001.0000.000
인증종류20.8370.8500.0001.000
2024-03-23T07:42:11.266467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증종류1인증종류2인증종류3출하시기3
인증종류11.0000.8370.8250.000
인증종류20.8371.0000.8500.000
인증종류30.8250.8501.0000.000
출하시기30.0000.0000.0001.000

Missing values

2024-03-23T07:41:51.577606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:41:52.181679image/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.
2024-03-23T07:41:52.633733image/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

지정번호농장(업체)명대표자소재지체험프로그램품목1인증종류1출하시기1품목2인증종류2출하시기2품목3인증종류3출하시기3전화번호
0제1-014호은성관광농원이은재경기도 화성시 송산면 고정리 627-3포도·블루베리 수확, 포도청·블루베리청 만들기 등블루베리무농약6-7월포도무농약8-10월<NA><NA><NA>031-357-1097
1제1-021호서해영농조합법인박선이경기도 평택시 포승읍 홍원농깨길 119-10버섯따기, 쌀요거트만들기목이버섯무농약연중표고버섯무농약연중영지버섯무농약연중031-683-7433
2제1-031호서일농원서분례, 최소영경기도 안성시 일죽면 금일로 332-17슬로우푸드(전통식품)체험청국장전통식품연중<NA><NA><NA><NA><NA><NA>031-673-3171
3제1-034호참포도농원백이남경기도 안성시 서운면 바우덕이로 290-9자연치유(포도따기) 체험포도유기농산물8-9월<NA><NA><NA><NA><NA><NA>031-672-9121
4제1-038호초록향기이철종, 이미숙경기도 남양주시 조안면 북한강로383번길 59-11딸기잼,고구마,김장담금기 등딸기유기농산물1-5월고추유기농산물8월상추유기농산물연중031-576-8702
5제1-042호양지농원김학표경기도 가평군 설악면 봉미산안길 74식생활프로그램(강정, 떡케이크, 인절미(떡메치기), 와플, 두부, 송편, 현미차 등 만들기), 공예품 만드는 프로그램(압화 프로그램), 농사프로그램(파종, 모내기, 탈곡, 도정 등)쌀유기농산물연중고추유기농산물10-4월쌀무농약연중031-584-8008
6제1-061호범바위알밤농원김양원경기도 연천군 장남면 원당리 산 21유기농 알밤줍기 체험밤유기농산물연중<NA><NA><NA><NA><NA><NA>031-914-2328
7제1-063호신궁전통한과김규흔경기도 포천시 소흘읍 정금로74번길 38유과, 약과, 다식, 강정만들기한과전통식품연중<NA><NA><NA><NA><NA><NA>031-533-8020
8제1-064호연천청산버섯영농조합법인이종화경기도 연천군 청산면 청신로 324버섯, 곤충 체험영지버섯무농약연중느타리버섯무농약연중노루궁뎅이버섯무농약연중031-835-1004
9제1-068호토골미김성주경기도 여주시 북내면 금당로 260-31볏단 매기, 고구마 캐기 등벼유기농산물10월고구마유기농산물10월들깨유기농산물10월031-885-1595
지정번호농장(업체)명대표자소재지체험프로그램품목1인증종류1출하시기1품목2인증종류2출하시기2품목3인증종류3출하시기3전화번호
254제9-037호맛있는철학자김명수서귀포시 토평로 50번길 29감귤차소믈리에, 나만의감귤즙만들기, 감귤잼만들기( 청귤), 풋귤청만들기감귤무농약10~이듬해1월녹차유기농산물연중<NA><NA><NA><NA>
255제9-038호제주샘영농조합법인김숙희제주시 애월읍 애원로 283쉰다리ㆍ칵테일ㆍ오메기떡만들기니모메술품질인증연중고소리술술품질인증연중오메기술술품질인증연중064-799-4225
256제9-039호감수다홍숙여제주시 한림읍 중산간서로 3893콜라비깍두기만들기&도자기핸드페인팅콜라비무농약12~이듬해2월양배추무농약12~이듬해2월<NA><NA><NA><NA>
257제9-040호스위트몽키농업회사법인김정환제주시 한경면 산양6길 6-9바나나수확체험, 바나나스무디만들기바나나무농약연중<NA><NA><NA><NA><NA><NA>1588-6277
258제9-041호미애수다뜰강미애제주시 한경면 저지12길 16, 2층딸기수확체험, 잼ㆍ쿠키만들기딸기GAP12~이듬해5월<NA><NA><NA><NA><NA><NA>064-772-1210
259제9-042호샛별한라봉농장김종우서귀포시 신효동 1143-1감귤수확 체험감귤GAP10~이듬해1월한라봉GAP2~3월<NA><NA><NA><NA>
260제9-043호농업회사법인유진팡김순일서귀포시 남원읍 원님로 399번길 31-7바나나 체험, 열대과일 체험, 감귤하우스 체험 등바나나무농약연중파인애플무농약연중파파야무농약연중<NA>
261제9-044호일출봉아로니아김미숙서귀포시 성산읍 고성리 2117-2아로니아 잼ㆍ청ㆍ스콘만들기 , 수확체험아로니아무농약8~9월<NA><NA><NA><NA><NA><NA>064-784-6797
262제9-045호청초밭영농조합법인정만석서귀포시 표선면 성읍이리로 57번길 34농촌체험(유기축산, 유기농 재배)유기축산(젓소, 계란)유기축산연중녹차유기농산물연중<NA><NA><NA><NA>
263제9-046호제주표고사려니농장김응진서귀포시 표선면 가시리 산 158-2생표고 따기, 표고비누 만들기표고버섯무농약연중<NA><NA><NA><NA><NA><NA><NA>