Overview

Dataset statistics

Number of variables8
Number of observations258
Missing cells216
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.0 KiB
Average record size in memory67.5 B

Variable types

Numeric2
Text4
Categorical2

Dataset

Description경기도 광주시 관내 친환경농산물(화학 비료나 제초제, 농약 등을 최대한 사용하지 않고 재배한 농산물) 현황에 대한 데이터로 친환경농산물 관리번호, 단체명, 농가명 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15036903/fileData.do

Alerts

농가수 has constant value ""Constant
친환경농산물관리번호 is highly overall correlated with 인증년도High correlation
인증년도 is highly overall correlated with 친환경농산물관리번호High correlation
인증년도 has 216 (83.7%) missing valuesMissing
친환경농산물관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:53:49.770594
Analysis finished2023-12-23 07:53:56.020023
Duration6.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

친환경농산물관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10130.174
Minimum10001
Maximum10259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-23T07:53:56.701478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10001
5-th percentile10013.85
Q110065.25
median10130.5
Q310194.75
95-th percentile10246.15
Maximum10259
Range258
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation75.003947
Coefficient of variation (CV)0.0074040134
Kurtosis-1.202432
Mean10130.174
Median Absolute Deviation (MAD)65
Skewness-0.0061839934
Sum2613585
Variance5625.592
MonotonicityStrictly increasing
2023-12-23T07:53:58.090826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10001 1
 
0.4%
10196 1
 
0.4%
10166 1
 
0.4%
10167 1
 
0.4%
10168 1
 
0.4%
10169 1
 
0.4%
10170 1
 
0.4%
10171 1
 
0.4%
10172 1
 
0.4%
10173 1
 
0.4%
Other values (248) 248
96.1%
ValueCountFrequency (%)
10001 1
0.4%
10002 1
0.4%
10003 1
0.4%
10004 1
0.4%
10005 1
0.4%
10006 1
0.4%
10007 1
0.4%
10008 1
0.4%
10009 1
0.4%
10010 1
0.4%
ValueCountFrequency (%)
10259 1
0.4%
10258 1
0.4%
10257 1
0.4%
10256 1
0.4%
10255 1
0.4%
10254 1
0.4%
10253 1
0.4%
10252 1
0.4%
10251 1
0.4%
10250 1
0.4%

단체명
Text

Distinct143
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-23T07:53:59.482651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.2093023
Min length2

Characters and Unicode

Total characters1860
Distinct characters177
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)51.2%

Sample

1st row광주삼성유기농영농조합
2nd row미미청아랑㈜농업회사법인
3rd row한국양계축산업협동조합
4th row다한영농조합법인
5th row세준푸드 (주)농업회사법인
ValueCountFrequency (%)
도척면친환경쌀작목반 106
38.3%
농업회사법인 7
 
2.5%
농업회사법인(주 4
 
1.4%
도척농업협동조합 2
 
0.7%
양정모 2
 
0.7%
세준푸드 2
 
0.7%
주식회사 2
 
0.7%
가래실 2
 
0.7%
미미청아랑㈜농업회사법인 2
 
0.7%
다한영농조합법인 2
 
0.7%
Other values (140) 146
52.7%
2023-12-23T07:54:01.560545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 111
 
6.0%
경 109
 
5.9%
척 109
 
5.9%
반 109
 
5.9%
작 109
 
5.9%
목 109
 
5.9%
환 109
 
5.9%
친 107
 
5.8%
쌀 106
 
5.7%
면 106
 
5.7%
Other values (167) 776
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1806
97.1%
Space Separator 19
 
1.0%
Close Punctuation 13
 
0.7%
Open Punctuation 13
 
0.7%
Other Symbol 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 111
 
6.1%
경 109
 
6.0%
척 109
 
6.0%
반 109
 
6.0%
작 109
 
6.0%
목 109
 
6.0%
환 109
 
6.0%
친 107
 
5.9%
쌀 106
 
5.9%
면 106
 
5.9%
Other values (163) 722
40.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1815
97.6%
Common 45
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 111
 
6.1%
경 109
 
6.0%
척 109
 
6.0%
반 109
 
6.0%
작 109
 
6.0%
목 109
 
6.0%
환 109
 
6.0%
친 107
 
5.9%
쌀 106
 
5.8%
면 106
 
5.8%
Other values (164) 731
40.3%
Common
ValueCountFrequency (%)
19
42.2%
) 13
28.9%
( 13
28.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1806
97.1%
ASCII 45
 
2.4%
None 9
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 111
 
6.1%
경 109
 
6.0%
척 109
 
6.0%
반 109
 
6.0%
작 109
 
6.0%
목 109
 
6.0%
환 109
 
6.0%
친 107
 
5.9%
쌀 106
 
5.9%
면 106
 
5.9%
Other values (163) 722
40.0%
ASCII
ValueCountFrequency (%)
19
42.2%
) 13
28.9%
( 13
28.9%
None
ValueCountFrequency (%)
㈜ 9
100.0%

재배지상세주소
Text

Distinct251
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-23T07:54:02.861351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length20.403101
Min length15

Characters and Unicode

Total characters5264
Distinct characters105
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

Unique244 ?
Unique (%)94.6%

Sample

1st row경기도 광주시 남종면 태허정로404번길 62-41
2nd row경기도 광주시 곤지암읍 광여로 916-53
3rd row경기도 광주시 초월읍 경충대로1284번길 51
4th row경기도 광주시 곤지암읍 경충대로101번길 38
5th row경기도 광주시 곤지암읍 가마을길 63
ValueCountFrequency (%)
광주시 258
20.2%
경기도 254
19.9%
도척면 113
 
8.8%
유정리 62
 
4.9%
초월읍 46
 
3.6%
퇴촌면 35
 
2.7%
남종면 27
 
2.1%
곤지암읍 25
 
2.0%
서하리 23
 
1.8%
방도리 23
 
1.8%
Other values (301) 412
32.2%
2023-12-23T07:54:05.292664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1020
19.4%
도 398
 
7.6%
경 260
 
4.9%
광 260
 
4.9%
주 258
 
4.9%
시 258
 
4.9%
기 255
 
4.8%
리 214
 
4.1%
1 205
 
3.9%
면 179
 
3.4%
Other values (95) 1957
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3153
59.9%
Space Separator 1020
 
19.4%
Decimal Number 945
 
18.0%
Dash Punctuation 145
 
2.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 398
12.6%
경 260
 
8.2%
광 260
 
8.2%
주 258
 
8.2%
시 258
 
8.2%
기 255
 
8.1%
리 214
 
6.8%
면 179
 
5.7%
척 118
 
3.7%
정 89
 
2.8%
Other values (82) 864
27.4%
Decimal Number
ValueCountFrequency (%)
1 205
21.7%
3 124
13.1%
2 114
12.1%
4 107
11.3%
7 88
9.3%
6 74
 
7.8%
0 66
 
7.0%
8 63
 
6.7%
5 55
 
5.8%
9 49
 
5.2%
Space Separator
ValueCountFrequency (%)
1020
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3153
59.9%
Common 2111
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 398
12.6%
경 260
 
8.2%
광 260
 
8.2%
주 258
 
8.2%
시 258
 
8.2%
기 255
 
8.1%
리 214
 
6.8%
면 179
 
5.7%
척 118
 
3.7%
정 89
 
2.8%
Other values (82) 864
27.4%
Common
ValueCountFrequency (%)
1020
48.3%
1 205
 
9.7%
- 145
 
6.9%
3 124
 
5.9%
2 114
 
5.4%
4 107
 
5.1%
7 88
 
4.2%
6 74
 
3.5%
0 66
 
3.1%
8 63
 
3.0%
Other values (3) 105
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3153
59.9%
ASCII 2111
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1020
48.3%
1 205
 
9.7%
- 145
 
6.9%
3 124
 
5.9%
2 114
 
5.4%
4 107
 
5.1%
7 88
 
4.2%
6 74
 
3.5%
0 66
 
3.1%
8 63
 
3.0%
Other values (3) 105
 
5.0%
Hangul
ValueCountFrequency (%)
도 398
12.6%
경 260
 
8.2%
광 260
 
8.2%
주 258
 
8.2%
시 258
 
8.2%
기 255
 
8.1%
리 214
 
6.8%
면 179
 
5.7%
척 118
 
3.7%
정 89
 
2.8%
Other values (82) 864
27.4%

인증구분
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
무농약
197 
자연채
25 
G마크
 
17
유기
 
15
유기농
 
4

Length

Max length3
Median length3
Mean length2.9418605
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowG마크
2nd rowG마크
3rd rowG마크
4th rowG마크
5th rowG마크

Common Values

ValueCountFrequency (%)
무농약 197
76.4%
자연채 25
 
9.7%
G마크 17
 
6.6%
유기 15
 
5.8%
유기농 4
 
1.6%

Length

2023-12-23T07:54:06.220333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:54:06.937457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무농약 197
76.4%
자연채 25
 
9.7%
g마크 17
 
6.6%
유기 15
 
5.8%
유기농 4
 
1.6%

품목
Text

Distinct83
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-23T07:54:08.216724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.1705426
Min length1

Characters and Unicode

Total characters818
Distinct characters121
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)26.0%

Sample

1st row작두콩,토마토 외 10개
2nd row느타리버섯, 표고버섯
3rd row계란
4th row계란
5th row식혜(4종)
ValueCountFrequency (%)
벼 107
33.1%
토마토 40
 
12.4%
외 29
 
9.0%
표고버섯 10
 
3.1%
청경채 8
 
2.5%
대파 5
 
1.5%
블루베리 5
 
1.5%
느타리 5
 
1.5%
느타리버섯 5
 
1.5%
상추 5
 
1.5%
Other values (78) 104
32.2%
2023-12-23T07:54:10.128964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
벼 107
 
13.1%
토 85
 
10.4%
65
 
7.9%
마 47
 
5.7%
외 33
 
4.0%
품 26
 
3.2%
목 26
 
3.2%
버 16
 
2.0%
섯 16
 
2.0%
리 16
 
2.0%
Other values (111) 381
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 683
83.5%
Space Separator 65
 
7.9%
Decimal Number 51
 
6.2%
Other Punctuation 10
 
1.2%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
벼 107
 
15.7%
토 85
 
12.4%
마 47
 
6.9%
외 33
 
4.8%
품 26
 
3.8%
목 26
 
3.8%
버 16
 
2.3%
섯 16
 
2.3%
리 16
 
2.3%
채 14
 
2.0%
Other values (96) 297
43.5%
Decimal Number
ValueCountFrequency (%)
1 10
19.6%
2 7
13.7%
5 6
11.8%
3 6
11.8%
8 6
11.8%
4 5
9.8%
7 4
 
7.8%
0 3
 
5.9%
9 2
 
3.9%
6 2
 
3.9%
Space Separator
ValueCountFrequency (%)
65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 683
83.5%
Common 134
 
16.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
벼 107
 
15.7%
토 85
 
12.4%
마 47
 
6.9%
외 33
 
4.8%
품 26
 
3.8%
목 26
 
3.8%
버 16
 
2.3%
섯 16
 
2.3%
리 16
 
2.3%
채 14
 
2.0%
Other values (96) 297
43.5%
Common
ValueCountFrequency (%)
65
48.5%
, 10
 
7.5%
1 10
 
7.5%
2 7
 
5.2%
5 6
 
4.5%
3 6
 
4.5%
8 6
 
4.5%
4 5
 
3.7%
7 4
 
3.0%
( 4
 
3.0%
Other values (4) 11
 
8.2%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 683
83.5%
ASCII 135
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
벼 107
 
15.7%
토 85
 
12.4%
마 47
 
6.9%
외 33
 
4.8%
품 26
 
3.8%
목 26
 
3.8%
버 16
 
2.3%
섯 16
 
2.3%
리 16
 
2.3%
채 14
 
2.0%
Other values (96) 297
43.5%
ASCII
ValueCountFrequency (%)
65
48.1%
, 10
 
7.4%
1 10
 
7.4%
2 7
 
5.2%
5 6
 
4.4%
3 6
 
4.4%
8 6
 
4.4%
4 5
 
3.7%
7 4
 
3.0%
( 4
 
3.0%
Other values (5) 12
 
8.9%

농가수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
258 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 258
100.0%

Length

2023-12-23T07:54:10.853972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:54:11.565984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 258
100.0%

인증번호
Text

Distinct150
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-23T07:54:12.818046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.7131783
Min length7

Characters and Unicode

Total characters2506
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)57.0%

Sample

1st row00-103-002
2nd row03-104-001
3rd row09-106-003
4th row09-106-004
5th row09-113-004
ValueCountFrequency (%)
제10303755호 107
41.5%
제10304391호 2
 
0.8%
제10100911호 2
 
0.8%
2023-1호 1
 
0.4%
제10303174호 1
 
0.4%
제10100985호 1
 
0.4%
제10303637호 1
 
0.4%
제10304434호 1
 
0.4%
제10303568호 1
 
0.4%
제10305922호 1
 
0.4%
Other values (140) 140
54.3%
2023-12-23T07:54:15.216342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 570
22.7%
3 370
14.8%
1 332
13.2%
5 257
10.3%
호 241
9.6%
제 216
 
8.6%
7 150
 
6.0%
4 92
 
3.7%
2 78
 
3.1%
6 62
 
2.5%
Other values (4) 138
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1989
79.4%
Other Letter 457
 
18.2%
Dash Punctuation 59
 
2.4%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 570
28.7%
3 370
18.6%
1 332
16.7%
5 257
12.9%
7 150
 
7.5%
4 92
 
4.6%
2 78
 
3.9%
6 62
 
3.1%
9 49
 
2.5%
8 29
 
1.5%
Other Letter
ValueCountFrequency (%)
호 241
52.7%
제 216
47.3%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2049
81.8%
Hangul 457
 
18.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 570
27.8%
3 370
18.1%
1 332
16.2%
5 257
12.5%
7 150
 
7.3%
4 92
 
4.5%
2 78
 
3.8%
6 62
 
3.0%
- 59
 
2.9%
9 49
 
2.4%
Other values (2) 30
 
1.5%
Hangul
ValueCountFrequency (%)
호 241
52.7%
제 216
47.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2049
81.8%
Hangul 457
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 570
27.8%
3 370
18.1%
1 332
16.2%
5 257
12.5%
7 150
 
7.3%
4 92
 
4.5%
2 78
 
3.8%
6 62
 
3.0%
- 59
 
2.9%
9 49
 
2.4%
Other values (2) 30
 
1.5%
Hangul
ValueCountFrequency (%)
호 241
52.7%
제 216
47.3%

인증년도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)35.7%
Missing216
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean2016.5238
Minimum2006
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-23T07:54:15.924427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2007
Q12015
median2017
Q32019.75
95-th percentile2023
Maximum2023
Range17
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation4.9938406
Coefficient of variation (CV)0.00247646
Kurtosis-0.28592114
Mean2016.5238
Median Absolute Deviation (MAD)2.5
Skewness-0.62077404
Sum84694
Variance24.938444
MonotonicityNot monotonic
2023-12-23T07:54:16.521237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2016 7
 
2.7%
2023 7
 
2.7%
2019 6
 
2.3%
2017 5
 
1.9%
2015 3
 
1.2%
2006 2
 
0.8%
2007 2
 
0.8%
2010 2
 
0.8%
2021 2
 
0.8%
2008 1
 
0.4%
Other values (5) 5
 
1.9%
(Missing) 216
83.7%
ValueCountFrequency (%)
2006 2
 
0.8%
2007 2
 
0.8%
2008 1
 
0.4%
2010 2
 
0.8%
2012 1
 
0.4%
2013 1
 
0.4%
2014 1
 
0.4%
2015 3
1.2%
2016 7
2.7%
2017 5
1.9%
ValueCountFrequency (%)
2023 7
2.7%
2022 1
 
0.4%
2021 2
 
0.8%
2020 1
 
0.4%
2019 6
2.3%
2017 5
1.9%
2016 7
2.7%
2015 3
1.2%
2014 1
 
0.4%
2013 1
 
0.4%

Interactions

2023-12-23T07:53:52.208738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:53:51.089978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:53:52.789529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:53:51.666826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:54:16.894154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
친환경농산물관리번호인증구분품목인증년도
친환경농산물관리번호1.0000.7790.6480.920
인증구분0.7791.0000.9620.570
품목0.6480.9621.0000.277
인증년도0.9200.5700.2771.000
2023-12-23T07:54:17.295532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
친환경농산물관리번호인증년도인증구분
친환경농산물관리번호1.0000.5500.434
인증년도0.5501.0000.426
인증구분0.4340.4261.000

Missing values

2023-12-23T07:53:54.009967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:53:55.536908image/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

친환경농산물관리번호단체명재배지상세주소인증구분품목농가수인증번호인증년도
010001광주삼성유기농영농조합경기도 광주시 남종면 태허정로404번길 62-41G마크작두콩,토마토 외 10개100-103-0022017
110002미미청아랑㈜농업회사법인경기도 광주시 곤지암읍 광여로 916-53G마크느타리버섯, 표고버섯103-104-0012017
210003한국양계축산업협동조합경기도 광주시 초월읍 경충대로1284번길 51G마크계란109-106-0032016
310004다한영농조합법인경기도 광주시 곤지암읍 경충대로101번길 38G마크계란109-106-0042016
410005세준푸드 (주)농업회사법인경기도 광주시 곤지암읍 가마을길 63G마크식혜(4종)109-113-0042016
510006(주)드림엘푸드경기도 광주시 곤지암읍 신만로436번길 7G마크콕포기김치,콕맛김치,콕깍두기112-110-0012017
610007농업회사법인㈜청보경기도 광주시 초월읍 지월로93번길 2G마크상추외 36종112-103-0062016
710008도척농업협동조합경기도 광주시 도척면 노곡리 58-23G마크친환경쌀(자연채)113-101-0052016
810009균원농장경기도 광주시 곤지암읍 이선리 361-1G마크표고버섯115-104-0102016
910010가래실 표고버섯농장경기도 광주시 도척로 1084-75G마크표고버섯117-104-0042017
친환경농산물관리번호단체명재배지상세주소인증구분품목농가수인증번호인증년도
24810250김형곤경기도 광주시 초월읍 쌍동리 35-12무농약상추1제10307083호<NA>
24910251서하리작목반경기도 광주시 초월읍 해공로 586자연채토마토 외 1812022-1호2022
25010252지한우연합사업단광주시 경안천로 45, 2층G마크한우고기(G한우)113-206-0012013
25110253주식회사 팀씨푸드광주시 도척면 도척로699번길 30-8G마크국멸치, 건다시마, 건미역123-108-0022023
25210254농업회사법인(주) 샐리의식탁광주시 곤지암읍 신만로 71-11G마크엽채류123-103-0072023
25310255농업회사법인(주) 잇츠프레시광주시 도척면 사기소길14번길 50G마크감동마토(대추방울토마토)123-113-0072023
25410256청오건강농업회사법인㈜경기도 광주시 도척면 도척로584번길 62-1자연채미숫가루12023-1호2023
25510257농업회사법인㈜샐리의식탁경기도 광주시 곤지암읍 신만로 71-11자연채양채류12023-2호2023
25610258광주친환경출하회경기도 광주시 남종면 귀여길8번길 21-27자연채시금치외 2012023-3호2023
25710259세준푸드 농업회사법인㈜경기도 광주시 곤지암읍 가마을길 63자연채식혜12023-4호2023