Overview

Dataset statistics

Number of variables8
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory68.0 B

Variable types

Text6
DateTime2

Dataset

Description국립농산물품질관리원에서 관리하는 유기농업자재 시험연구기관 지정현황(지정번호, 지정일자, 기관명, 대표자, 소재지, 연락처, 시험분야)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191011000000001207

Alerts

데이터기준일자 has constant value ""Constant
지정번호 has unique valuesUnique
기관명 has unique valuesUnique
대표자 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:16:01.419213
Analysis finished2023-12-11 03:16:02.172885
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T12:16:02.359629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.7878788
Min length3

Characters and Unicode

Total characters125
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row제1호
2nd row제2호
3rd row제3호
4th row제4호
5th row제6호
ValueCountFrequency (%)
제1호 1
 
3.0%
제27호 1
 
3.0%
제46호 1
 
3.0%
제45호 1
 
3.0%
제44호 1
 
3.0%
제43호 1
 
3.0%
제42호 1
 
3.0%
제41호 1
 
3.0%
제40호 1
 
3.0%
제36호 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T12:16:02.817871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 33
26.4%
호 33
26.4%
4 13
 
10.4%
2 11
 
8.8%
3 10
 
8.0%
1 8
 
6.4%
6 4
 
3.2%
5 4
 
3.2%
7 3
 
2.4%
0 3
 
2.4%
Other values (2) 3
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
52.8%
Decimal Number 59
47.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 13
22.0%
2 11
18.6%
3 10
16.9%
1 8
13.6%
6 4
 
6.8%
5 4
 
6.8%
7 3
 
5.1%
0 3
 
5.1%
9 2
 
3.4%
8 1
 
1.7%
Other Letter
ValueCountFrequency (%)
제 33
50.0%
호 33
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
52.8%
Common 59
47.2%

Most frequent character per script

Common
ValueCountFrequency (%)
4 13
22.0%
2 11
18.6%
3 10
16.9%
1 8
13.6%
6 4
 
6.8%
5 4
 
6.8%
7 3
 
5.1%
0 3
 
5.1%
9 2
 
3.4%
8 1
 
1.7%
Hangul
ValueCountFrequency (%)
제 33
50.0%
호 33
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
52.8%
ASCII 59
47.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 33
50.0%
호 33
50.0%
ASCII
ValueCountFrequency (%)
4 13
22.0%
2 11
18.6%
3 10
16.9%
1 8
13.6%
6 4
 
6.8%
5 4
 
6.8%
7 3
 
5.1%
0 3
 
5.1%
9 2
 
3.4%
8 1
 
1.7%

지정일자
Date

Distinct15
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2013-08-19 00:00:00
Maximum2017-07-19 00:00:00
2023-12-11T12:16:02.984147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:16:03.128289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

기관명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T12:16:03.419216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length12.393939
Min length5

Characters and Unicode

Total characters409
Distinct characters111
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row농업기술실용화재단
2nd row응용생물시험연구소
3rd row(주)한국식물환경연구소
4th row(주)판코리아
5th row목원대학교 산학협력단 미생물생태자원연구센터
ValueCountFrequency (%)
부설연구소 4
 
7.1%
산학협력단 3
 
5.4%
농업기술실용화재단 1
 
1.8%
우성환경기술센터 1
 
1.8%
친환경농업센터 1
 
1.8%
전북대학교 1
 
1.8%
식물의학연구센터 1
 
1.8%
주)팜한농 1
 
1.8%
작물보호연구센터 1
 
1.8%
재)한국화학융합 1
 
1.8%
Other values (41) 41
73.2%
2023-12-11T12:16:03.876801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
6.4%
) 18
 
4.4%
( 18
 
4.4%
구 18
 
4.4%
연 18
 
4.4%
주 17
 
4.2%
학 14
 
3.4%
센 13
 
3.2%
소 12
 
2.9%
터 11
 
2.7%
Other values (101) 244
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
83.1%
Space Separator 26
 
6.4%
Close Punctuation 18
 
4.4%
Open Punctuation 18
 
4.4%
Other Symbol 4
 
1.0%
Uppercase Letter 2
 
0.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 18
 
5.3%
연 18
 
5.3%
주 17
 
5.0%
학 14
 
4.1%
센 13
 
3.8%
소 12
 
3.5%
터 11
 
3.2%
농 9
 
2.6%
경 8
 
2.4%
대 8
 
2.4%
Other values (94) 212
62.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
F 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
84.1%
Common 63
 
15.4%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 18
 
5.2%
연 18
 
5.2%
주 17
 
4.9%
학 14
 
4.1%
센 13
 
3.8%
소 12
 
3.5%
터 11
 
3.2%
농 9
 
2.6%
경 8
 
2.3%
대 8
 
2.3%
Other values (95) 216
62.8%
Common
ValueCountFrequency (%)
26
41.3%
) 18
28.6%
( 18
28.6%
- 1
 
1.6%
Latin
ValueCountFrequency (%)
B 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
83.1%
ASCII 65
 
15.9%
None 4
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
40.0%
) 18
27.7%
( 18
27.7%
B 1
 
1.5%
- 1
 
1.5%
F 1
 
1.5%
Hangul
ValueCountFrequency (%)
구 18
 
5.3%
연 18
 
5.3%
주 17
 
5.0%
학 14
 
4.1%
센 13
 
3.8%
소 12
 
3.5%
터 11
 
3.2%
농 9
 
2.6%
경 8
 
2.4%
대 8
 
2.4%
Other values (94) 212
62.4%
None
ValueCountFrequency (%)
㈜ 4
100.0%

대표자
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T12:16:04.160560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2121212
Min length2

Characters and Unicode

Total characters106
Distinct characters53
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row박철웅
2nd row유지원
3rd row박지성
4th row이종진
5th row정철호
ValueCountFrequency (%)
박철웅 1
 
2.9%
김철홍 1
 
2.9%
김병삼 1
 
2.9%
허재선 1
 
2.9%
조기환 1
 
2.9%
이유진 1
 
2.9%
권오정 1
 
2.9%
안태헌 1
 
2.9%
이경식 1
 
2.9%
이윤호 1
 
2.9%
Other values (25) 25
71.4%
2023-12-11T12:16:04.655716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8
 
7.5%
김 5
 
4.7%
진 4
 
3.8%
박 3
 
2.8%
철 3
 
2.8%
조 3
 
2.8%
성 3
 
2.8%
최 3
 
2.8%
정 3
 
2.8%
병 3
 
2.8%
Other values (43) 68
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
98.1%
Space Separator 2
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
7.7%
김 5
 
4.8%
진 4
 
3.8%
박 3
 
2.9%
철 3
 
2.9%
조 3
 
2.9%
성 3
 
2.9%
최 3
 
2.9%
정 3
 
2.9%
병 3
 
2.9%
Other values (42) 66
63.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
98.1%
Common 2
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
7.7%
김 5
 
4.8%
진 4
 
3.8%
박 3
 
2.9%
철 3
 
2.9%
조 3
 
2.9%
성 3
 
2.9%
최 3
 
2.9%
정 3
 
2.9%
병 3
 
2.9%
Other values (42) 66
63.5%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
98.1%
ASCII 2
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8
 
7.7%
김 5
 
4.8%
진 4
 
3.8%
박 3
 
2.9%
철 3
 
2.9%
조 3
 
2.9%
성 3
 
2.9%
최 3
 
2.9%
정 3
 
2.9%
병 3
 
2.9%
Other values (42) 66
63.5%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T12:16:05.080060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length23.545455
Min length16

Characters and Unicode

Total characters777
Distinct characters147
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

Unique33 ?
Unique (%)100.0%

Sample

1st row전라북도 익산시 평동로 457
2nd row전북 익산시 망성면 여강로 1035-24
3rd row경기도 수원시 권선구 오목천로 152번길 40 첨단벤처밸리 403호
4th row대전광역시 유성구 현충원로 295번길 13-10
5th row대전광역시 서구 도안북로 88
ValueCountFrequency (%)
경기도 4
 
2.3%
경북 4
 
2.3%
전라북도 3
 
1.7%
전라남도 3
 
1.7%
대전광역시 3
 
1.7%
충북 3
 
1.7%
충청남도 2
 
1.1%
26 2
 
1.1%
서울특별시 2
 
1.1%
경상남도 2
 
1.1%
Other values (146) 149
84.2%
2023-12-11T12:16:05.684375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
18.7%
1 29
 
3.7%
시 26
 
3.3%
로 26
 
3.3%
2 24
 
3.1%
경 17
 
2.2%
도 16
 
2.1%
0 16
 
2.1%
구 15
 
1.9%
5 15
 
1.9%
Other values (137) 448
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
60.5%
Space Separator 145
 
18.7%
Decimal Number 145
 
18.7%
Dash Punctuation 8
 
1.0%
Other Punctuation 3
 
0.4%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 26
 
5.5%
로 26
 
5.5%
경 17
 
3.6%
도 16
 
3.4%
구 15
 
3.2%
북 13
 
2.8%
길 13
 
2.8%
면 12
 
2.6%
남 12
 
2.6%
전 12
 
2.6%
Other values (120) 308
65.5%
Decimal Number
ValueCountFrequency (%)
1 29
20.0%
2 24
16.6%
0 16
11.0%
5 15
10.3%
3 13
9.0%
7 12
8.3%
4 12
8.3%
9 9
 
6.2%
6 8
 
5.5%
8 7
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
60.5%
Common 305
39.3%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 26
 
5.5%
로 26
 
5.5%
경 17
 
3.6%
도 16
 
3.4%
구 15
 
3.2%
북 13
 
2.8%
길 13
 
2.8%
면 12
 
2.6%
남 12
 
2.6%
전 12
 
2.6%
Other values (120) 308
65.5%
Common
ValueCountFrequency (%)
145
47.5%
1 29
 
9.5%
2 24
 
7.9%
0 16
 
5.2%
5 15
 
4.9%
3 13
 
4.3%
7 12
 
3.9%
4 12
 
3.9%
9 9
 
3.0%
6 8
 
2.6%
Other values (5) 22
 
7.2%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
60.5%
ASCII 307
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
47.2%
1 29
 
9.4%
2 24
 
7.8%
0 16
 
5.2%
5 15
 
4.9%
3 13
 
4.2%
7 12
 
3.9%
4 12
 
3.9%
9 9
 
2.9%
6 8
 
2.6%
Other values (7) 24
 
7.8%
Hangul
ValueCountFrequency (%)
시 26
 
5.5%
로 26
 
5.5%
경 17
 
3.6%
도 16
 
3.4%
구 15
 
3.2%
북 13
 
2.8%
길 13
 
2.8%
면 12
 
2.6%
남 12
 
2.6%
전 12
 
2.6%
Other values (120) 308
65.5%

연락처
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T12:16:05.939131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length11

Characters and Unicode

Total characters397
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

Unique33 ?
Unique (%)100.0%

Sample

1st row063-919-1532
2nd row063-861-0323
3rd row031-292-3681
4th row042-824-6734
5th row042-829-7598
ValueCountFrequency (%)
063-919-1532 1
 
3.0%
042-823-8680 1
 
3.0%
053-818-3280 1
 
3.0%
033-250-7496 1
 
3.0%
031-996-6697 1
 
3.0%
054-530-1212 1
 
3.0%
041-330-1209 1
 
3.0%
043-732-1481 1
 
3.0%
052-222-5030 1
 
3.0%
062-530-5312 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T12:16:06.473028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.6%
0 60
15.1%
3 43
10.8%
2 39
9.8%
6 32
8.1%
1 32
8.1%
4 30
7.6%
5 26
 
6.5%
8 24
 
6.0%
7 23
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.4%
Dash Punctuation 66
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
18.1%
3 43
13.0%
2 39
11.8%
6 32
9.7%
1 32
9.7%
4 30
9.1%
5 26
7.9%
8 24
 
7.3%
7 23
 
6.9%
9 22
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.6%
0 60
15.1%
3 43
10.8%
2 39
9.8%
6 32
8.1%
1 32
8.1%
4 30
7.6%
5 26
 
6.5%
8 24
 
6.0%
7 23
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.6%
0 60
15.1%
3 43
10.8%
2 39
9.8%
6 32
8.1%
1 32
8.1%
4 30
7.6%
5 26
 
6.5%
8 24
 
6.0%
7 23
 
5.8%

시험분야
Text

Distinct23
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T12:16:06.695138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length25
Mean length18.878788
Min length4

Characters and Unicode

Total characters623
Distinct characters53
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

Unique17 ?
Unique (%)51.5%

Sample

1st row이화학적분석 미생물분석 잔류시험
2nd row식물시험
3rd row식물시험
4th row이화학적분석 식물시험(토양개량 및 작물생육용)
5th row미생물분석 식물시험
ValueCountFrequency (%)
이화학적분석 14
16.3%
식물시험 12
14.0%
식물시험(병해충관리용 8
9.3%
미생물분석 8
9.3%
잔류시험 8
9.3%
독성시험 5
 
5.8%
및 4
 
4.7%
작물생육용 4
 
4.7%
물벼룩류급성유영저해시험 3
 
3.5%
식물시험(토양개량 3
 
3.5%
Other values (9) 17
19.8%
2023-12-11T12:16:07.034799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 57
 
9.1%
험 57
 
9.1%
53
 
8.5%
물 38
 
6.1%
성 35
 
5.6%
식 23
 
3.7%
석 22
 
3.5%
분 22
 
3.5%
, 17
 
2.7%
독 17
 
2.7%
Other values (43) 282
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
84.3%
Space Separator 53
 
8.5%
Other Punctuation 17
 
2.7%
Close Punctuation 14
 
2.2%
Open Punctuation 14
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 57
 
10.9%
험 57
 
10.9%
물 38
 
7.2%
성 35
 
6.7%
식 23
 
4.4%
석 22
 
4.2%
분 22
 
4.2%
독 17
 
3.2%
화 14
 
2.7%
류 14
 
2.7%
Other values (39) 226
43.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
84.3%
Common 98
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 57
 
10.9%
험 57
 
10.9%
물 38
 
7.2%
성 35
 
6.7%
식 23
 
4.4%
석 22
 
4.2%
분 22
 
4.2%
독 17
 
3.2%
화 14
 
2.7%
류 14
 
2.7%
Other values (39) 226
43.0%
Common
ValueCountFrequency (%)
53
54.1%
, 17
 
17.3%
) 14
 
14.3%
( 14
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
84.3%
ASCII 98
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 57
 
10.9%
험 57
 
10.9%
물 38
 
7.2%
성 35
 
6.7%
식 23
 
4.4%
석 22
 
4.2%
분 22
 
4.2%
독 17
 
3.2%
화 14
 
2.7%
류 14
 
2.7%
Other values (39) 226
43.0%
ASCII
ValueCountFrequency (%)
53
54.1%
, 17
 
17.3%
) 14
 
14.3%
( 14
 
14.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2022-06-03 00:00:00
Maximum2022-06-03 00:00:00
2023-12-11T12:16:07.156870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:16:07.243911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T12:16:07.323750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호지정일자기관명대표자소재지연락처시험분야
지정번호1.0001.0001.0001.0001.0001.0001.000
지정일자1.0001.0001.0001.0001.0001.0000.864
기관명1.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
시험분야1.0000.8641.0001.0001.0001.0001.000

Missing values

2023-12-11T12:16:01.927739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:16:02.104575image/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

지정번호지정일자기관명대표자소재지연락처시험분야데이터기준일자
0제1호2013-08-19농업기술실용화재단박철웅전라북도 익산시 평동로 457063-919-1532이화학적분석 미생물분석 잔류시험2022-06-03
1제2호2013-08-19응용생물시험연구소유지원전북 익산시 망성면 여강로 1035-24063-861-0323식물시험2022-06-03
2제3호2013-08-19(주)한국식물환경연구소박지성경기도 수원시 권선구 오목천로 152번길 40 첨단벤처밸리 403호031-292-3681식물시험2022-06-03
3제4호2013-08-19(주)판코리아이종진대전광역시 유성구 현충원로 295번길 13-10042-824-6734이화학적분석 식물시험(토양개량 및 작물생육용)2022-06-03
4제6호2013-08-19목원대학교 산학협력단 미생물생태자원연구센터정철호대전광역시 서구 도안북로 88042-829-7598미생물분석 식물시험2022-06-03
5제7호2013-08-19㈜대유 부설연구소김우동서울특별시 강남구 학동로 77길 26 (청담동, 대유빌딩)02-556-6293이화학적분석 식물시험2022-06-03
6제8호2013-08-19(주)유일 부설연구소한영홍경상남도 창녕군 대합면 대합공단길 46055-532-4744이화학적분석 식물시험2022-06-03
7제10호2013-09-03(재)전남바이오산업진흥원 친환경농생명연구센터조일규전라남도 곡성군 입면 입면로 495061-362-0630미생물분석 식물시험 잔류시험2022-06-03
8제13호2013-11-08(주)한국생물안전성연구소이해근충북 음성군 감곡면 성주로 326-20043-882-0296식물시험 독성시험2022-06-03
9제14호2013-11-08(주)경농 중앙연구소이병만경북 경주시 숲머리길 34-14054-779-1000이화학적분석 식물시험 잔류시험 독성시험2022-06-03
지정번호지정일자기관명대표자소재지연락처시험분야데이터기준일자
23제35호2014-07-16에이티분석센타(주)안태헌인천광역시 연수구 벤처로100번길 21, 201호032-715-4766이화학적분석 식물시험(토양개량 및 작물생육용) 미생물분석2022-06-03
24제36호2014-09-19(주)현농김철홍광주광역시 북구 용봉로 77 전남대학교 친환경농업연구소 510호062-530-5312식물시험 잔류시험2022-06-03
25제40호2016-05-16우성환경기술센터이경식울산광역시 울주군 범서읍 천상리 7블럭 1-1놋트052-222-5030이화학적분석2022-06-03
26제41호2016-08-03㈜농협케미컬 연구소최규동충북 옥천군 청성면 대안로 318043-732-1481식물시험(병해충관리용)2022-06-03
27제42호2016-08-08공주대학교 두과녹비자원연구센터오태석충북 예산군 예산읍 대학로 5041-330-1209식물시험(토양개량 및 작물생육용)2022-06-03
28제43호2016-11-29경북대학교 생태환경대학최용화경북 상주시 경상대로 2559054-530-1212이화학적분석 식물시험(병해충관리용, 토양개량 및 작물생육용)2022-06-03
29제44호2016-12-27㈜센트럴바이오권민인천광역시 부평구 새벌로14031-996-6697독성시험(급성경구독성시험, 급성경피독성시험, 피부자극성시험, 안점막자극성시험, 어류급성독성시험, 물벼룩류급성유영저해시험)2022-06-03
30제45호2016-12-27환경농산물 안전성센터조성준강원도 춘천시 강원대학길 1 친환경농업연구센터(316동) 401호033-250-7496이화학적분석 잔류시험 미생물분석 식물시험2022-06-03
31제46호2017-03-23(주)그린아그로텍박만웅경북 경산시 압량면 인안길 99053-818-3280이화학적분석2022-06-03
32제47호2017-07-19비토분석센터㈜이재준경기도 안산시 단원구 지원로 107, 시화지식산업센터 205호031-364-8181이화학적분석 미생물분석2022-06-03