Overview

Dataset statistics

Number of variables8
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory70.1 B

Variable types

Numeric2
Categorical3
Text3

Dataset

Description수산물 안전성 조사 결과에 대한 자료로, 검사건수, 검사대상 주요 품종, 검사 주요 항목, 안전성 검사 결과 등에 대한 데이터를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079131

Alerts

연번 is highly overall correlated with 연도High correlation
연도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
구 분 is highly overall correlated with 결과High correlation
결과 is highly overall correlated with 구 분 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
검사건수(지역) has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:55:45.038711
Analysis finished2023-12-10 22:55:45.796931
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T07:55:45.853698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-11T07:55:45.947984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.5
Minimum2011
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T07:55:46.036294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12012.75
median2014.5
Q32016.25
95-th percentile2018
Maximum2018
Range7
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.3279508
Coefficient of variation (CV)0.0011555973
Kurtosis-1.2420361
Mean2014.5
Median Absolute Deviation (MAD)2
Skewness0
Sum64464
Variance5.4193548
MonotonicityIncreasing
2023-12-11T07:55:46.118742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2011 4
12.5%
2012 4
12.5%
2013 4
12.5%
2014 4
12.5%
2015 4
12.5%
2016 4
12.5%
2017 4
12.5%
2018 4
12.5%
ValueCountFrequency (%)
2011 4
12.5%
2012 4
12.5%
2013 4
12.5%
2014 4
12.5%
2015 4
12.5%
2016 4
12.5%
2017 4
12.5%
2018 4
12.5%
ValueCountFrequency (%)
2018 4
12.5%
2017 4
12.5%
2016 4
12.5%
2015 4
12.5%
2014 4
12.5%
2013 4
12.5%
2012 4
12.5%
2011 4
12.5%

구 분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
해면양식 패류
8 
내수면 양식
8 
해·내수면 어획수산물
6 
해면양식 어류
4 
해면양식 어류,갑각류
3 
Other values (2)
3 

Length

Max length16
Median length11
Mean length8.21875
Min length6

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row해면양식 패류
2nd row해면양식 어류
3rd row내수면 양식
4th row해면어획 수산물
5th row해면양식 패류

Common Values

ValueCountFrequency (%)
해면양식 패류 8
25.0%
내수면 양식 8
25.0%
해·내수면 어획수산물 6
18.8%
해면양식 어류 4
12.5%
해면양식 어류,갑각류 3
 
9.4%
해면어획 수산물 2
 
6.2%
해면양식 피낭류, 어류,갑각류 1
 
3.1%

Length

2023-12-11T07:55:46.218296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:55:46.306963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해면양식 16
24.6%
패류 8
12.3%
내수면 8
12.3%
양식 8
12.3%
해·내수면 6
 
9.2%
어획수산물 6
 
9.2%
어류 4
 
6.2%
어류,갑각류 4
 
6.2%
해면어획 2
 
3.1%
수산물 2
 
3.1%

검사건수(지역)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T07:55:46.473747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.46875
Min length16

Characters and Unicode

Total characters655
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row171건(통영시 등 5개 시·군)
2nd row31건(거제시 등 5개 시·군)
3rd row4건(밀양시 등 3개 시·군)
4th row104건(통영수협 등 4개 위판장)
5th row176건(통영시 등 5개 시·군)
ValueCountFrequency (%)
등 32
24.8%
시·군 25
19.4%
5개 8
 
6.2%
6개 6
 
4.7%
8개 6
 
4.7%
7개 5
 
3.9%
시군 4
 
3.1%
위판장 2
 
1.6%
9개 2
 
1.6%
4개 2
 
1.6%
Other values (36) 37
28.7%
2023-12-11T07:55:46.746100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
14.8%
시 54
 
8.2%
군 35
 
5.3%
) 32
 
4.9%
등 32
 
4.9%
건 32
 
4.9%
( 32
 
4.9%
개 32
 
4.9%
1 28
 
4.3%
· 26
 
4.0%
Other values (28) 255
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 289
44.1%
Decimal Number 159
24.3%
Space Separator 97
 
14.8%
Other Punctuation 46
 
7.0%
Close Punctuation 32
 
4.9%
Open Punctuation 32
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 54
18.7%
군 35
12.1%
등 32
11.1%
건 32
11.1%
개 32
11.1%
영 22
7.6%
통 22
7.6%
항 14
 
4.8%
목 14
 
4.8%
창 5
 
1.7%
Other values (12) 27
9.3%
Decimal Number
ValueCountFrequency (%)
1 28
17.6%
2 20
12.6%
8 18
11.3%
3 16
10.1%
7 16
10.1%
6 15
9.4%
5 14
8.8%
9 13
8.2%
0 11
 
6.9%
4 8
 
5.0%
Other Punctuation
ValueCountFrequency (%)
· 26
56.5%
/ 14
30.4%
, 6
 
13.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 366
55.9%
Hangul 289
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 54
18.7%
군 35
12.1%
등 32
11.1%
건 32
11.1%
개 32
11.1%
영 22
7.6%
통 22
7.6%
항 14
 
4.8%
목 14
 
4.8%
창 5
 
1.7%
Other values (12) 27
9.3%
Common
ValueCountFrequency (%)
97
26.5%
) 32
 
8.7%
( 32
 
8.7%
1 28
 
7.7%
· 26
 
7.1%
2 20
 
5.5%
8 18
 
4.9%
3 16
 
4.4%
7 16
 
4.4%
6 15
 
4.1%
Other values (6) 66
18.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
51.9%
Hangul 289
44.1%
None 26
 
4.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
28.5%
) 32
 
9.4%
( 32
 
9.4%
1 28
 
8.2%
2 20
 
5.9%
8 18
 
5.3%
3 16
 
4.7%
7 16
 
4.7%
6 15
 
4.4%
/ 14
 
4.1%
Other values (5) 52
15.3%
Hangul
ValueCountFrequency (%)
시 54
18.7%
군 35
12.1%
등 32
11.1%
건 32
11.1%
개 32
11.1%
영 22
7.6%
통 22
7.6%
항 14
 
4.8%
목 14
 
4.8%
창 5
 
1.7%
Other values (12) 27
9.3%
None
ValueCountFrequency (%)
· 26
100.0%

주요검사품종
Text

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T07:55:46.891890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length14.78125
Min length13

Characters and Unicode

Total characters473
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)68.8%

Sample

1st row5종(굴, 진주담치 등)
2nd row8종(조피볼락, 넙치 등)
3rd row3종(뱀장어, 향어 등)
4th row27종(붕장어, 멸치 등)
5th row6종(굴, 진주담치 등)
ValueCountFrequency (%)
등 32
31.7%
넙치 8
 
7.9%
진주담치 8
 
7.9%
멸치 6
 
5.9%
우렁이 4
 
4.0%
6종(굴 4
 
4.0%
5종(굴 3
 
3.0%
9종(뱀장어 2
 
2.0%
7종(뱀장어 2
 
2.0%
고등어 2
 
2.0%
Other values (25) 30
29.7%
2023-12-11T07:55:47.129479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
15.6%
, 37
 
7.8%
등 35
 
7.4%
( 32
 
6.8%
종 32
 
6.8%
) 32
 
6.8%
치 22
 
4.7%
어 20
 
4.2%
장 14
 
3.0%
7 9
 
1.9%
Other values (39) 166
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
53.5%
Space Separator 74
 
15.6%
Decimal Number 45
 
9.5%
Other Punctuation 37
 
7.8%
Open Punctuation 32
 
6.8%
Close Punctuation 32
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 35
 
13.8%
종 32
 
12.6%
치 22
 
8.7%
어 20
 
7.9%
장 14
 
5.5%
피 9
 
3.6%
담 8
 
3.2%
주 8
 
3.2%
붕 8
 
3.2%
진 8
 
3.2%
Other values (26) 89
35.2%
Decimal Number
ValueCountFrequency (%)
7 9
20.0%
1 7
15.6%
3 6
13.3%
2 5
11.1%
8 5
11.1%
6 4
8.9%
9 4
8.9%
5 3
 
6.7%
0 2
 
4.4%
Space Separator
ValueCountFrequency (%)
74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
53.5%
Common 220
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 35
 
13.8%
종 32
 
12.6%
치 22
 
8.7%
어 20
 
7.9%
장 14
 
5.5%
피 9
 
3.6%
담 8
 
3.2%
주 8
 
3.2%
붕 8
 
3.2%
진 8
 
3.2%
Other values (26) 89
35.2%
Common
ValueCountFrequency (%)
74
33.6%
, 37
16.8%
( 32
14.5%
) 32
14.5%
7 9
 
4.1%
1 7
 
3.2%
3 6
 
2.7%
2 5
 
2.3%
8 5
 
2.3%
6 4
 
1.8%
Other values (3) 9
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
53.5%
ASCII 220
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
33.6%
, 37
16.8%
( 32
14.5%
) 32
14.5%
7 9
 
4.1%
1 7
 
3.2%
3 6
 
2.7%
2 5
 
2.3%
8 5
 
2.3%
6 4
 
1.8%
Other values (3) 9
 
4.1%
Hangul
ValueCountFrequency (%)
등 35
 
13.8%
종 32
 
12.6%
치 22
 
8.7%
어 20
 
7.9%
장 14
 
5.5%
피 9
 
3.6%
담 8
 
3.2%
주 8
 
3.2%
붕 8
 
3.2%
진 8
 
3.2%
Other values (26) 89
35.2%

검사항목
Text

Distinct17
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T07:55:47.287791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length47
Mean length24.1875
Min length17

Characters and Unicode

Total characters774
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)31.2%

Sample

1st row중금속(3종), 식중독균(4종)
2nd row중금속(3종), 금지약품 등(19종)
3rd row중금속(3종), 금지약품 등(19종)
4th row중금속(2종), 식중독균(4종)
5th row중금속(3종), 식중독균(4종)
ValueCountFrequency (%)
중금속(3종 24
25.0%
금지약품 16
16.7%
식중독균(4종 10
10.4%
방사능(2종 8
 
8.3%
등(48종 6
 
6.2%
중금속(2종 4
 
4.2%
등(57종 3
 
3.1%
식중독균(5종 2
 
2.1%
등(19종 2
 
2.1%
식중독균(1종 2
 
2.1%
Other values (19) 19
19.8%
2023-12-11T07:55:47.545273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 80
 
10.3%
( 80
 
10.3%
종 65
 
8.4%
64
 
8.3%
, 49
 
6.3%
금 48
 
6.2%
중 46
 
5.9%
속 32
 
4.1%
3 27
 
3.5%
4 22
 
2.8%
Other values (28) 261
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
49.9%
Decimal Number 115
 
14.9%
Close Punctuation 80
 
10.3%
Open Punctuation 80
 
10.3%
Space Separator 64
 
8.3%
Other Punctuation 49
 
6.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 65
16.8%
금 48
12.4%
중 46
11.9%
속 32
 
8.3%
품 19
 
4.9%
약 19
 
4.9%
지 16
 
4.1%
등 16
 
4.1%
항 15
 
3.9%
목 15
 
3.9%
Other values (14) 95
24.6%
Decimal Number
ValueCountFrequency (%)
3 27
23.5%
4 22
19.1%
2 16
13.9%
5 12
10.4%
8 11
9.6%
1 10
 
8.7%
7 6
 
5.2%
6 5
 
4.3%
0 4
 
3.5%
9 2
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 388
50.1%
Hangul 386
49.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 65
16.8%
금 48
12.4%
중 46
11.9%
속 32
 
8.3%
품 19
 
4.9%
약 19
 
4.9%
지 16
 
4.1%
등 16
 
4.1%
항 15
 
3.9%
목 15
 
3.9%
Other values (14) 95
24.6%
Common
ValueCountFrequency (%)
) 80
20.6%
( 80
20.6%
64
16.5%
, 49
12.6%
3 27
 
7.0%
4 22
 
5.7%
2 16
 
4.1%
5 12
 
3.1%
8 11
 
2.8%
1 10
 
2.6%
Other values (4) 17
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 388
50.1%
Hangul 386
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 80
20.6%
( 80
20.6%
64
16.5%
, 49
12.6%
3 27
 
7.0%
4 22
 
5.7%
2 16
 
4.1%
5 12
 
3.1%
8 11
 
2.8%
1 10
 
2.6%
Other values (4) 17
 
4.4%
Hangul
ValueCountFrequency (%)
종 65
16.8%
금 48
12.4%
중 46
11.9%
속 32
 
8.3%
품 19
 
4.9%
약 19
 
4.9%
지 16
 
4.1%
등 16
 
4.1%
항 15
 
3.9%
목 15
 
3.9%
Other values (14) 95
24.6%

결과
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
적합
21 
적합(*1건 기타)
5 
전부적합
3 
적합(*3건 기타)
 
2
적합(*3건), 부적합(1건)
 
1

Length

Max length16
Median length2
Mean length4.375
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row적합
2nd row적합
3rd row적합
4th row적합(*1건 기타)
5th row적합

Common Values

ValueCountFrequency (%)
적합 21
65.6%
적합(*1건 기타) 5
 
15.6%
전부적합 3
 
9.4%
적합(*3건 기타) 2
 
6.2%
적합(*3건), 부적합(1건) 1
 
3.1%

Length

2023-12-11T07:55:47.666237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:55:47.760371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 21
52.5%
기타 7
 
17.5%
적합(*1건 5
 
12.5%
전부적합 3
 
7.5%
적합(*3건 3
 
7.5%
부적합(1건 1
 
2.5%

비고
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
-
17 
<NA>
7 
창원지역 바지락에서 식중독균 검출, 출하연기
 
1
밀양지역 뱀장어에서 항생물질 초과 검출, 출하연기
 
1
남해지역 넙치에서 항생물질 초과 검출, 출하연기
 
1
Other values (5)
5 

Length

Max length38
Median length1
Mean length8.59375
Min length1

Unique

Unique8 ?
Unique (%)25.0%

Sample

1st row-
2nd row-
3rd row-
4th row창원지역 바지락에서 식중독균 검출, 출하연기
5th row-

Common Values

ValueCountFrequency (%)
- 17
53.1%
<NA> 7
21.9%
창원지역 바지락에서 식중독균 검출, 출하연기 1
 
3.1%
밀양지역 뱀장어에서 항생물질 초과 검출, 출하연기 1
 
3.1%
남해지역 넙치에서 항생물질 초과 검출, 출하연기 1
 
3.1%
사천, 통영지역 양식 농어, 능성어에서 항생물질 초과검출, 출하연기 1
 
3.1%
김해지역 메기에서 중금속 초과검출, 폐기 1
 
3.1%
남해, 거제지역 양식 넙치, 강도다리에서 항생물질 초과검출, 출하연기 1
 
3.1%
산청지역 양식 뱀장어에서 항생물질 초과검출, 출하연기 1
 
3.1%
거제지역 조피볼락에서 항생물질 초과검출, 출하연기 1
 
3.1%

Length

2023-12-11T07:55:47.866098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:55:47.979306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17
23.3%
출하연기 7
 
9.6%
na 7
 
9.6%
항생물질 6
 
8.2%
초과검출 5
 
6.8%
검출 3
 
4.1%
양식 3
 
4.1%
거제지역 2
 
2.7%
뱀장어에서 2
 
2.7%
초과 2
 
2.7%
Other values (19) 19
26.0%

Interactions

2023-12-11T07:55:45.486690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:55:45.352527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:55:45.555138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:55:45.419437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:55:48.099012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도구 분검사건수(지역)주요검사품종검사항목결과비고
연번1.0000.9270.0001.0000.4920.3070.6680.794
연도0.9271.0000.0001.0000.3660.0000.5320.798
구 분0.0000.0001.0001.0001.0000.9000.7170.688
검사건수(지역)1.0001.0001.0001.0001.0001.0001.0001.000
주요검사품종0.4920.3661.0001.0001.0000.8840.9260.485
검사항목0.3070.0000.9001.0000.8841.0000.9370.917
결과0.6680.5320.7171.0000.9260.9371.0001.000
비고0.7940.7980.6881.0000.4850.9171.0001.000
2023-12-11T07:55:48.197499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분비고결과
구 분1.0000.4120.543
비고0.4121.0000.873
결과0.5430.8731.000
2023-12-11T07:55:48.270218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도구 분결과비고
연번1.0000.9930.0000.2910.487
연도0.9931.0000.0000.3360.509
구 분0.0000.0001.0000.5430.412
결과0.2910.3360.5431.0000.873
비고0.4870.5090.4120.8731.000

Missing values

2023-12-11T07:55:45.652821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:55:45.749202image/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

연번연도구 분검사건수(지역)주요검사품종검사항목결과비고
012011해면양식 패류171건(통영시 등 5개 시·군)5종(굴, 진주담치 등)중금속(3종), 식중독균(4종)적합-
122011해면양식 어류31건(거제시 등 5개 시·군)8종(조피볼락, 넙치 등)중금속(3종), 금지약품 등(19종)적합-
232011내수면 양식4건(밀양시 등 3개 시·군)3종(뱀장어, 향어 등)중금속(3종), 금지약품 등(19종)적합-
342011해면어획 수산물104건(통영수협 등 4개 위판장)27종(붕장어, 멸치 등)중금속(2종), 식중독균(4종)적합(*1건 기타)창원지역 바지락에서 식중독균 검출, 출하연기
452012해면양식 패류176건(통영시 등 5개 시·군)6종(굴, 진주담치 등)중금속(3종), 식중독균(4종)적합-
562012해면양식 어류60건(통영시 등 5개 시·군)9종(조피볼락, 넙치 등)중금속(3종), 금지약품 등(48종)적합-
672012내수면 양식15건(밀양시 등 9개 시·군)9종(뱀장어, 다슬기 등)중금속(3종), 금지약품 등(48종)적합(*1건 기타)밀양지역 뱀장어에서 항생물질 초과 검출, 출하연기
782012해면어획 수산물212건(통영수협 등 4개 위판장)21종(붕장어, 멸치 등)중금속(2종), 식중독균(4종)적합-
892013해면양식 패류193건(통영시 등 6개 시·군)6종(굴, 진주담치 등)중금속(3종), 식중독균(4종)적합-
9102013해면양식 어류75건(통영시 등 7개 시·군)7종(조피볼락, 넙치 등)중금속(3종), 금지약품 등(48종)적합-
연번연도구 분검사건수(지역)주요검사품종검사항목결과비고
22232016내수면 양식13건/353항목(창녕군 등 7개 시군)9종(뱀장어, 우렁이 등)중금속(3종), 금지약품 등(57종)적합<NA>
23242016해·내수면 어획수산물197건/942항목(통영시 등 8개 시군)38종(붕장어, 멸치 등)중금속(3종), 방사능(2종), 식중독균(4종)적합(*1건 기타)김해지역 메기에서 중금속 초과검출, 폐기
24252017해면양식 패류308건/1,002항목(통영시 등 7개 시·군)7종(굴, 진주담치 등)중금속(3종), 방사능(2종), 식중독균(1종), 동물약품(4종)적합<NA>
25262017해면양식 어류,갑각류66건/2,108항목(통영시 등 6개 시·군)12종(조피볼락, 넙치 등)중금속(3종), 금지약품 등(56종)적합(*3건 기타)남해, 거제지역 양식 넙치, 강도다리에서 항생물질 초과검출, 출하연기
26272017내수면 양식16건/327항목(창녕군 등 6개 시·군)7종(뱀장어, 우렁이 등)중금속(3종), 금지약품 등(55종)적합(*1건 기타)산청지역 양식 뱀장어에서 항생물질 초과검출, 출하연기
27282017해·내수면 어획수산물183건/838항목(통영시 등 8개 시·군)37종(붕장어, 고등어 등)중금속(3종), 방사능(2종), 식중독균(1종)적합<NA>
28292018해면양식 패류255건(통영시 등 6개 시·군)6종(굴, 진주담치 등)중금속(765항목), 방사능(60항목), 미생물(21항목)전부적합<NA>
29302018해면양식 피낭류, 어류,갑각류94건(통영시 등 7개 시·군)17종(감성돔, 넙치 등)중금속(212항목), 동물용의약품(1,463항목), 금지약품 등(176항목), 방사능(4항목), 기타(14항목)적합(*3건), 부적합(1건)거제지역 조피볼락에서 항생물질 초과검출, 출하연기
30312018내수면 양식31건/327항목(거창군 등 8개 시·군)13종(뱀장어, 우렁이 등)중금속(53항목), 동물용의약품(808항목), 금지약품 등(84항목), 기타(1항목)전부적합<NA>
31322018해·내수면 어획수산물190건/838항목(김해시 등 5개 시·군)39종(고등어, 잉어 등)중금속(570항목), 방사능(248항목), 미생물(30항목)전부적합<NA>