Overview

Dataset statistics

Number of variables9
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory75.2 B

Variable types

Categorical2
Numeric1
DateTime3
Text3

Dataset

Description농산물등에 대한 품위품종일반성분,무기성분유해물질을 검정하는 기관에 대한 정보(지정번호, 지정일자, 지정기관명, 소재지, 전화번호, 검정항목, 유효기간(시작일), 유효기간(종료일))
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20230808000000002384

Alerts

지정번호 is highly overall correlated with 검정 업무범위High correlation
검정 업무범위 is highly overall correlated with 지정번호 and 1 other fieldsHigh correlation
검정항목 is highly overall correlated with 검정 업무범위High correlation
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:24:50.198925
Analysis finished2023-12-11 03:24:50.979926
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

검정 업무범위
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
무기성분·유해물질
34 
품위·품종·일반성분
25 

Length

Max length10
Median length9
Mean length9.4237288
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무기성분·유해물질
2nd row무기성분·유해물질
3rd row무기성분·유해물질
4th row무기성분·유해물질
5th row무기성분·유해물질

Common Values

ValueCountFrequency (%)
무기성분·유해물질 34
57.6%
품위·품종·일반성분 25
42.4%

Length

2023-12-11T12:24:51.064071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:24:51.190604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무기성분·유해물질 34
57.6%
품위·품종·일반성분 25
42.4%

지정번호
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.271186
Minimum3
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T12:24:51.365644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.8
Q118.5
median34
Q361
95-th percentile74.1
Maximum77
Range74
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation23.041066
Coefficient of variation (CV)0.60204733
Kurtosis-1.2999001
Mean38.271186
Median Absolute Deviation (MAD)19
Skewness0.20562781
Sum2258
Variance530.89071
MonotonicityNot monotonic
2023-12-11T12:24:51.518685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 2
 
3.4%
3 1
 
1.7%
44 1
 
1.7%
76 1
 
1.7%
77 1
 
1.7%
29 1
 
1.7%
30 1
 
1.7%
31 1
 
1.7%
32 1
 
1.7%
33 1
 
1.7%
Other values (48) 48
81.4%
ValueCountFrequency (%)
3 1
1.7%
4 1
1.7%
5 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
11 1
1.7%
12 1
1.7%
13 2
3.4%
ValueCountFrequency (%)
77 1
1.7%
76 1
1.7%
75 1
1.7%
74 1
1.7%
73 1
1.7%
72 1
1.7%
71 1
1.7%
70 1
1.7%
68 1
1.7%
67 1
1.7%

지정일자
Date

Distinct46
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2007-02-28 00:00:00
Maximum2023-04-13 00:00:00
2023-12-11T12:24:51.661222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:24:51.802117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

지정기관명
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T12:24:52.093832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13
Mean length9.1355932
Min length3

Characters and Unicode

Total characters539
Distinct characters132
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

Unique57 ?
Unique (%)96.6%

Sample

1st row주식회사 브이앤비연구소
2nd row㈜피켐코리아
3rd row한울생명과학㈜
4th row제일분석센타㈜
5th row㈜그린하이
ValueCountFrequency (%)
주식회사 3
 
4.3%
산학협력단 3
 
4.3%
농협경제지주㈜식품r&d연구소 2
 
2.9%
㈜현대그린푸드 1
 
1.4%
㈜제노텍 1
 
1.4%
푸디스트 1
 
1.4%
보성군농업기술센터 1
 
1.4%
티에스피분석연구소 1
 
1.4%
제주대학교 1
 
1.4%
㈜코젠바이오텍 1
 
1.4%
Other values (54) 54
78.3%
2023-12-11T12:24:52.524421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 34
 
6.3%
농 18
 
3.3%
연 18
 
3.3%
구 18
 
3.3%
기 14
 
2.6%
센 14
 
2.6%
술 13
 
2.4%
업 13
 
2.4%
학 13
 
2.4%
소 12
 
2.2%
Other values (122) 372
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 476
88.3%
Other Symbol 34
 
6.3%
Space Separator 10
 
1.9%
Uppercase Letter 9
 
1.7%
Open Punctuation 4
 
0.7%
Close Punctuation 4
 
0.7%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 18
 
3.8%
연 18
 
3.8%
구 18
 
3.8%
기 14
 
2.9%
센 14
 
2.9%
술 13
 
2.7%
업 13
 
2.7%
학 13
 
2.7%
소 12
 
2.5%
원 12
 
2.5%
Other values (110) 331
69.5%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
R 2
22.2%
C 1
11.1%
J 1
11.1%
P 1
11.1%
S 1
11.1%
A 1
11.1%
Other Symbol
ValueCountFrequency (%)
㈜ 34
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 510
94.6%
Common 20
 
3.7%
Latin 9
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 34
 
6.7%
농 18
 
3.5%
연 18
 
3.5%
구 18
 
3.5%
기 14
 
2.7%
센 14
 
2.7%
술 13
 
2.5%
업 13
 
2.5%
학 13
 
2.5%
소 12
 
2.4%
Other values (111) 343
67.3%
Latin
ValueCountFrequency (%)
D 2
22.2%
R 2
22.2%
C 1
11.1%
J 1
11.1%
P 1
11.1%
S 1
11.1%
A 1
11.1%
Common
ValueCountFrequency (%)
10
50.0%
( 4
 
20.0%
) 4
 
20.0%
& 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 476
88.3%
None 34
 
6.3%
ASCII 29
 
5.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 34
100.0%
Hangul
ValueCountFrequency (%)
농 18
 
3.8%
연 18
 
3.8%
구 18
 
3.8%
기 14
 
2.9%
센 14
 
2.9%
술 13
 
2.7%
업 13
 
2.7%
학 13
 
2.7%
소 12
 
2.5%
원 12
 
2.5%
Other values (110) 331
69.5%
ASCII
ValueCountFrequency (%)
10
34.5%
( 4
 
13.8%
) 4
 
13.8%
D 2
 
6.9%
& 2
 
6.9%
R 2
 
6.9%
C 1
 
3.4%
J 1
 
3.4%
P 1
 
3.4%
S 1
 
3.4%

소재지
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T12:24:52.803960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length28.949153
Min length15

Characters and Unicode

Total characters1708
Distinct characters208
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

Unique59 ?
Unique (%)100.0%

Sample

1st row충청북도 괴산군 칠성면 자연드림길 240, A동 2, 3층(지원센터)
2nd row대전광역시 유성구 테크노 11로 12(탑립동)
3rd row대전광역시 유성구 가정북로 26-18(장동)
4th row서울특별시 구로구 디지털로 272, 909·910·912·913·914호
5th row충청북도 청주시 서원구 남이면 연청로1369, 3층
ValueCountFrequency (%)
경기도 18
 
5.5%
전라남도 8
 
2.4%
서울특별시 8
 
2.4%
대전광역시 7
 
2.1%
유성구 7
 
2.1%
용인시 4
 
1.2%
전라북도 4
 
1.2%
충청북도 4
 
1.2%
기흥구 3
 
0.9%
이천시 3
 
0.9%
Other values (236) 262
79.9%
2023-12-11T12:24:53.263867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
 
15.7%
1 70
 
4.1%
로 54
 
3.2%
시 51
 
3.0%
2 48
 
2.8%
도 42
 
2.5%
동 39
 
2.3%
3 35
 
2.0%
구 35
 
2.0%
0 31
 
1.8%
Other values (198) 1034
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1016
59.5%
Decimal Number 307
 
18.0%
Space Separator 269
 
15.7%
Other Punctuation 32
 
1.9%
Open Punctuation 26
 
1.5%
Close Punctuation 26
 
1.5%
Dash Punctuation 17
 
1.0%
Uppercase Letter 13
 
0.8%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 54
 
5.3%
시 51
 
5.0%
도 42
 
4.1%
동 39
 
3.8%
구 35
 
3.4%
경 26
 
2.6%
기 23
 
2.3%
대 23
 
2.3%
전 22
 
2.2%
주 18
 
1.8%
Other values (171) 683
67.2%
Decimal Number
ValueCountFrequency (%)
1 70
22.8%
2 48
15.6%
3 35
11.4%
0 31
10.1%
4 28
 
9.1%
5 26
 
8.5%
9 19
 
6.2%
7 19
 
6.2%
6 17
 
5.5%
8 14
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
23.1%
T 2
15.4%
C 2
15.4%
U 1
 
7.7%
I 1
 
7.7%
L 1
 
7.7%
S 1
 
7.7%
M 1
 
7.7%
E 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 26
81.2%
· 5
 
15.6%
. 1
 
3.1%
Space Separator
ValueCountFrequency (%)
269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1016
59.5%
Common 679
39.8%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 54
 
5.3%
시 51
 
5.0%
도 42
 
4.1%
동 39
 
3.8%
구 35
 
3.4%
경 26
 
2.6%
기 23
 
2.3%
대 23
 
2.3%
전 22
 
2.2%
주 18
 
1.8%
Other values (171) 683
67.2%
Common
ValueCountFrequency (%)
269
39.6%
1 70
 
10.3%
2 48
 
7.1%
3 35
 
5.2%
0 31
 
4.6%
4 28
 
4.1%
( 26
 
3.8%
, 26
 
3.8%
5 26
 
3.8%
) 26
 
3.8%
Other values (8) 94
 
13.8%
Latin
ValueCountFrequency (%)
A 3
23.1%
T 2
15.4%
C 2
15.4%
U 1
 
7.7%
I 1
 
7.7%
L 1
 
7.7%
S 1
 
7.7%
M 1
 
7.7%
E 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1016
59.5%
ASCII 687
40.2%
None 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
39.2%
1 70
 
10.2%
2 48
 
7.0%
3 35
 
5.1%
0 31
 
4.5%
4 28
 
4.1%
( 26
 
3.8%
, 26
 
3.8%
5 26
 
3.8%
) 26
 
3.8%
Other values (16) 102
 
14.8%
Hangul
ValueCountFrequency (%)
로 54
 
5.3%
시 51
 
5.0%
도 42
 
4.1%
동 39
 
3.8%
구 35
 
3.4%
경 26
 
2.6%
기 23
 
2.3%
대 23
 
2.3%
전 22
 
2.2%
주 18
 
1.8%
Other values (171) 683
67.2%
None
ValueCountFrequency (%)
· 5
100.0%

전화번호
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T12:24:53.559114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length12
Mean length12.305085
Min length9

Characters and Unicode

Total characters726
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row043-760-4522
2nd row042-823-8680
3rd row042-826-4033
4th row02-839-4674
5th row043-212-3322
ValueCountFrequency (%)
031-8021-7052 2
 
3.3%
043-760-4522 1
 
1.7%
041-751-3010 1
 
1.7%
061-850-5733 1
 
1.7%
031-647-0421 1
 
1.7%
064-754-3980 1
 
1.7%
02-2016-2150 1
 
1.7%
070-7893-7834 1
 
1.7%
02-835-5105 1
 
1.7%
031-776-5653 1
 
1.7%
Other values (49) 49
81.7%
2023-12-11T12:24:53.991629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 119
16.4%
0 114
15.7%
3 89
12.3%
1 68
9.4%
4 67
9.2%
2 67
9.2%
8 49
6.7%
5 46
 
6.3%
6 45
 
6.2%
7 35
 
4.8%
Other values (4) 27
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 603
83.1%
Dash Punctuation 119
 
16.4%
Math Symbol 2
 
0.3%
Other Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 114
18.9%
3 89
14.8%
1 68
11.3%
4 67
11.1%
2 67
11.1%
8 49
8.1%
5 46
7.6%
6 45
 
7.5%
7 35
 
5.8%
9 23
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 726
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 119
16.4%
0 114
15.7%
3 89
12.3%
1 68
9.4%
4 67
9.2%
2 67
9.2%
8 49
6.7%
5 46
 
6.3%
6 45
 
6.2%
7 35
 
4.8%
Other values (4) 27
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 726
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 119
16.4%
0 114
15.7%
3 89
12.3%
1 68
9.4%
4 67
9.2%
2 67
9.2%
8 49
6.7%
5 46
 
6.3%
6 45
 
6.2%
7 35
 
4.8%
Other values (4) 27
 
3.7%

검정항목
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
농산물 및 농산가공품(품종)
24 
농산물 및 농산가공품(잔류농약, 항생물질)
9 
농산물 및 농산가공품(유해중금속, 잔류농약, 항생물질), 농지(유해중금속)
6 
농산물 및 농산가공품(유해중금속, 잔류농약, 항생물질)
4 
농산물 및 농산가공품(유해중금속, 잔류농약, 항생물질), 농지(유해중금속), 용수(유해중금속)
 
1
Other values (15)
15 

Length

Max length87
Median length86
Mean length33.711864
Min length15

Unique

Unique16 ?
Unique (%)27.1%

Sample

1st row농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 항생물질, 방사능)
2nd row농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질), 농지(유해중금속), 자재(유해중금속, 항생물질))
3rd row농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질), 농지(유해중금속), 용수(유해중금속) 자재(무기성분, 유해중금속)
4th row농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능), 농지(유해중금속), 용수(유해중금속) 자재(무기성분, 유해중금속)
5th row농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능,) 농지(유해중금속), 용수(유해중금속) 자재(유해중금속)

Common Values

ValueCountFrequency (%)
농산물 및 농산가공품(품종) 24
40.7%
농산물 및 농산가공품(잔류농약, 항생물질) 9
 
15.3%
농산물 및 농산가공품(유해중금속, 잔류농약, 항생물질), 농지(유해중금속) 6
 
10.2%
농산물 및 농산가공품(유해중금속, 잔류농약, 항생물질) 4
 
6.8%
농산물 및 농산가공품(유해중금속, 잔류농약, 항생물질), 농지(유해중금속), 용수(유해중금속) 1
 
1.7%
농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질), 농지(유해중금속), 용수(유해중금속) 자재(무기성분, 유해중금속) 1
 
1.7%
농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능), 농지(유해중금속), 용수(유해중금속) 자재(무기성분, 유해중금속) 1
 
1.7%
농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능,) 농지(유해중금속), 용수(유해중금속) 자재(유해중금속) 1
 
1.7%
농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능), 농지(유해중금속), 용수(유해중금속) 자재(유해중금속, 항생물질) 1
 
1.7%
농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 항생물질), 농지(유해중금속), 자재(유해중금속) 1
 
1.7%
Other values (10) 10
16.9%

Length

2023-12-11T12:24:54.203248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농산물 59
18.9%
및 59
18.9%
항생물질 37
11.9%
잔류농약 26
8.3%
농산가공품(품종 25
8.0%
농지(유해중금속 19
 
6.1%
유해중금속 16
 
5.1%
농산가공품(무기성분 13
 
4.2%
농산가공품(유해중금속 11
 
3.5%
용수(유해중금속 10
 
3.2%
Other values (8) 37
11.9%

유효기간(시작일)
Date

Distinct15
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2020-06-11 00:00:00
Maximum2023-04-13 00:00:00
2023-12-11T12:24:54.346440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:24:54.522359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

유효기간(종료일)
Date

Distinct15
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2024-06-10 00:00:00
Maximum2027-04-12 00:00:00
2023-12-11T12:24:54.676546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:24:54.879144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

Interactions

2023-12-11T12:24:50.680784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:24:54.991907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검정 업무범위지정번호지정일자지정기관명소재지전화번호검정항목유효기간(시작일)유효기간(종료일)
검정 업무범위1.0000.9140.9890.0001.0001.0001.0000.0000.000
지정번호0.9141.0000.9871.0001.0001.0000.3790.0000.000
지정일자0.9890.9871.0001.0001.0001.0000.9341.0001.000
지정기관명0.0001.0001.0001.0001.0001.0000.9961.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
검정항목1.0000.3790.9340.9961.0001.0001.0000.0000.000
유효기간(시작일)0.0000.0001.0001.0001.0001.0000.0001.0001.000
유효기간(종료일)0.0000.0001.0001.0001.0001.0000.0001.0001.000
2023-12-11T12:24:55.164701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검정 업무범위검정항목
검정 업무범위1.0000.827
검정항목0.8271.000
2023-12-11T12:24:55.630901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호검정 업무범위검정항목
지정번호1.0000.7000.082
검정 업무범위0.7001.0000.827
검정항목0.0820.8271.000

Missing values

2023-12-11T12:24:50.793646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:24:50.926485image/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

검정 업무범위지정번호지정일자지정기관명소재지전화번호검정항목유효기간(시작일)유효기간(종료일)
0무기성분·유해물질32011-09-08주식회사 브이앤비연구소충청북도 괴산군 칠성면 자연드림길 240, A동 2, 3층(지원센터)043-760-4522농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 항생물질, 방사능)2020-06-112024-06-10
1무기성분·유해물질42011-09-08㈜피켐코리아대전광역시 유성구 테크노 11로 12(탑립동)042-823-8680농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질), 농지(유해중금속), 자재(유해중금속, 항생물질))2020-06-112024-06-10
2무기성분·유해물질52013-06-21한울생명과학㈜대전광역시 유성구 가정북로 26-18(장동)042-826-4033농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질), 농지(유해중금속), 용수(유해중금속) 자재(무기성분, 유해중금속)2020-06-112024-06-10
3무기성분·유해물질72018-03-14제일분석센타㈜서울특별시 구로구 디지털로 272, 909·910·912·913·914호02-839-4674농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능), 농지(유해중금속), 용수(유해중금속) 자재(무기성분, 유해중금속)2020-06-112024-06-10
4무기성분·유해물질82018-04-30㈜그린하이충청북도 청주시 서원구 남이면 연청로1369, 3층043-212-3322농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능,) 농지(유해중금속), 용수(유해중금속) 자재(유해중금속)2020-06-112024-06-10
5무기성분·유해물질92018-05-14아이센㈜경상남도 양산시 하북면 초산로 30055-372-2994농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능), 농지(유해중금속), 용수(유해중금속) 자재(유해중금속, 항생물질)2020-06-112024-06-10
6무기성분·유해물질102018-05-17한국에스지에스㈜경기도 의왕시 맑은내길 67, ALT 지식산업센터 301~4호031-689-8604농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 항생물질), 농지(유해중금속), 자재(유해중금속)2020-06-112024-06-10
7무기성분·유해물질112018-05-28㈜한국분석기술연구소대전광역시 유성구 테크노2로 125-7042-823-7241농산물 및 농산가공품(무기성분, 유해중금속, 잔류농약, 곰팡이독소, 항생물질, 방사능), 농지(유해중금속), 용수(유해중금속) 자재(유해중금속)2020-06-112024-06-10
8무기성분·유해물질122018-05-28순천대학교 산학협력단전라남도 순천시 중앙로 255, 순천대학교 C2동(친환경센터)061-750-5470농산물 및 농산가공품(유해중금속, 잔류농약, 항생물질), 농지(유해중금속), 용수(유해중금속)2020-06-112024-06-10
9무기성분·유해물질132018-07-16농협경제지주㈜식품R&D연구소경기도 수원시 영통구 센트럴타운로 114-8, 경기도 안성시 미양면 강덕1길 161031-8021-7052, 031-8046-8780농산물 및 농산가공품(유해중금속, 잔류농약, 항생물질), 농지(유해중금속)2020-06-112024-06-10
검정 업무범위지정번호지정일자지정기관명소재지전화번호검정항목유효기간(시작일)유효기간(종료일)
49품위·품종·일반성분492011-06-21㈜동원에프앤비 식품안전센타서울특별시 서초구 마방로 60, 2층(양재동, 동원에프앤비 빌딩)02-589-4634농산물 및 농산가공품(품종)2020-06-112024-06-10
50품위·품종·일반성분502011-12-28영광군농업기술센터전라남도 영광군 군서면 백수로 1481061-350-4844농산물 및 농산가공품(품종)2020-06-112024-06-10
51품위·품종·일반성분512011-12-28김제시농업기술센터전라북도 김제시 동서로 59063-540-4532농산물 및 농산가공품(품종)2020-06-112024-06-10
52품위·품종·일반성분542012-10-05한국농업기술진흥원전라북도 익산시 평동로 457(송학동)063-919-1550농산물 및 농산가공품(품종)2020-06-112024-06-10
53품위·품종·일반성분562008-09-10해남군농업기술센터전라남도 해남군 해남읍 땅끝대로 45-56061-531-3864농산물 및 농산가공품(품종)2020-06-112024-06-10
54품위·품종·일반성분602012-06-27㈜농심서울특별시 동작구 여의대방로 112(신대방동)02-820-8139농산물 및 농산가공품(품종)2020-06-112024-06-10
55품위·품종·일반성분662020-08-21㈜미소진대전광역시 유성구 테크노2로 187, A동 402호042-867-8284농산물 및 농산가공품(품종)2020-08-212024-08-20
56품위·품종·일반성분672020-09-03㈜제노텍대전광역시 유성구 가정북로 26-69(장동)042-862-8404농산물 및 농산가공품(품종)2020-09-032024-09-02
57품위·품종·일반성분682020-09-10푸디스트 주식회사경기도 이천시 부발읍 중부대로1763번길 45 푸디스트(주)이천물류센터 3층031-8011-3804농산물 및 농산가공품(품종)2020-09-102024-09-09
58품위·품종·일반성분742022-09-28㈜현대그린푸드 식품위생연구소경기도 용인시 수지구 동천동 문인로 30 4층031-525-2130농산물 및 농산가공품(품종)2022-09-282026-09-27