Overview

Dataset statistics

Number of variables8
Number of observations44
Missing cells32
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory69.0 B

Variable types

Numeric2
Categorical2
Text4

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 연번High correlation
결과 is highly imbalanced (50.7%)Imbalance
비고 has 32 (72.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:55:34.601665
Analysis finished2023-12-10 22:55:35.446988
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T07:55:35.511151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2023-12-11T07:55:35.619776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016
Minimum2011
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T07:55:35.760656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12013
median2016
Q32019
95-th percentile2021
Maximum2021
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.198837
Coefficient of variation (CV)0.0015867247
Kurtosis-1.2210801
Mean2016
Median Absolute Deviation (MAD)3
Skewness0
Sum88704
Variance10.232558
MonotonicityIncreasing
2023-12-11T07:55:35.851233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2011 4
9.1%
2012 4
9.1%
2013 4
9.1%
2014 4
9.1%
2015 4
9.1%
2016 4
9.1%
2017 4
9.1%
2018 4
9.1%
2019 4
9.1%
2020 4
9.1%
ValueCountFrequency (%)
2011 4
9.1%
2012 4
9.1%
2013 4
9.1%
2014 4
9.1%
2015 4
9.1%
2016 4
9.1%
2017 4
9.1%
2018 4
9.1%
2019 4
9.1%
2020 4
9.1%
ValueCountFrequency (%)
2021 4
9.1%
2020 4
9.1%
2019 4
9.1%
2018 4
9.1%
2017 4
9.1%
2016 4
9.1%
2015 4
9.1%
2014 4
9.1%
2013 4
9.1%
2012 4
9.1%

구 분
Categorical

Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
내수면 양식
11 
해·내수면 어획수산물
9 
해면양식 패류
7 
해면양식 어류
4 
해면양식 어류,갑각류
4 
Other values (3)
9 

Length

Max length12
Median length11
Mean length8.7727273
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
내수면 양식 11
25.0%
해·내수면 어획수산물 9
20.5%
해면양식 패류 7
15.9%
해면양식 어류 4
 
9.1%
해면양식 어류,갑각류 4
 
9.1%
해면양식 패류, 피낭류 4
 
9.1%
해면양식 어류, 갑각류 3
 
6.8%
해면어획 수산물 2
 
4.5%

Length

2023-12-11T07:55:35.967315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:55:36.072766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해면양식 22
23.2%
내수면 11
11.6%
양식 11
11.6%
패류 11
11.6%
해·내수면 9
9.5%
어획수산물 9
9.5%
어류 7
 
7.4%
어류,갑각류 4
 
4.2%
피낭류 4
 
4.2%
갑각류 3
 
3.2%
Other values (2) 4
 
4.2%

검사건수(지역)
Text

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T07:55:36.285577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.5
Min length16

Characters and Unicode

Total characters770
Distinct characters42
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

Unique40 ?
Unique (%)90.9%

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 row229건(통영시 등 6개 시·군)
ValueCountFrequency (%)
등 44
24.9%
시·군 37
20.9%
6개 15
 
8.5%
5개 10
 
5.6%
7개 5
 
2.8%
4개 5
 
2.8%
시군 4
 
2.3%
9개 3
 
1.7%
208건(통영시 3
 
1.7%
3개 2
 
1.1%
Other values (43) 49
27.7%
2023-12-11T07:55:36.586525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
17.3%
시 74
 
9.6%
군 51
 
6.6%
) 44
 
5.7%
건 44
 
5.7%
( 44
 
5.7%
등 44
 
5.7%
개 44
 
5.7%
· 38
 
4.9%
통 25
 
3.2%
Other values (32) 229
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
46.4%
Decimal Number 154
20.0%
Space Separator 133
 
17.3%
Close Punctuation 44
 
5.7%
Open Punctuation 44
 
5.7%
Other Punctuation 38
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 74
20.7%
군 51
14.3%
건 44
12.3%
등 44
12.3%
개 44
12.3%
통 25
 
7.0%
영 25
 
7.0%
거 6
 
1.7%
창 6
 
1.7%
제 5
 
1.4%
Other values (18) 33
9.2%
Decimal Number
ValueCountFrequency (%)
1 25
16.2%
6 25
16.2%
7 18
11.7%
5 16
10.4%
9 15
9.7%
2 14
9.1%
3 12
7.8%
4 11
7.1%
8 10
 
6.5%
0 8
 
5.2%
Space Separator
ValueCountFrequency (%)
133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Other Punctuation
ValueCountFrequency (%)
· 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 413
53.6%
Hangul 357
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 74
20.7%
군 51
14.3%
건 44
12.3%
등 44
12.3%
개 44
12.3%
통 25
 
7.0%
영 25
 
7.0%
거 6
 
1.7%
창 6
 
1.7%
제 5
 
1.4%
Other values (18) 33
9.2%
Common
ValueCountFrequency (%)
133
32.2%
) 44
 
10.7%
( 44
 
10.7%
· 38
 
9.2%
1 25
 
6.1%
6 25
 
6.1%
7 18
 
4.4%
5 16
 
3.9%
9 15
 
3.6%
2 14
 
3.4%
Other values (4) 41
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 375
48.7%
Hangul 357
46.4%
None 38
 
4.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
35.5%
) 44
 
11.7%
( 44
 
11.7%
1 25
 
6.7%
6 25
 
6.7%
7 18
 
4.8%
5 16
 
4.3%
9 15
 
4.0%
2 14
 
3.7%
3 12
 
3.2%
Other values (3) 29
 
7.7%
Hangul
ValueCountFrequency (%)
시 74
20.7%
군 51
14.3%
건 44
12.3%
등 44
12.3%
개 44
12.3%
통 25
 
7.0%
영 25
 
7.0%
거 6
 
1.7%
창 6
 
1.7%
제 5
 
1.4%
Other values (18) 33
9.2%
None
ValueCountFrequency (%)
· 38
100.0%

주요검사품종
Text

Distinct37
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T07:55:36.747711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length14.704545
Min length13

Characters and Unicode

Total characters647
Distinct characters64
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

Unique31 ?
Unique (%)70.5%

Sample

1st row6종(굴, 진주담치 등)
2nd row9종(조피볼락, 넙치 등)
3rd row3종(뱀장어, 향어 등)
4th row28종(붕장어, 멸치 등)
5th row7종(굴, 진주담치 등)
ValueCountFrequency (%)
등 44
32.1%
넙치 8
 
5.8%
진주담치 8
 
5.8%
우렁이 7
 
5.1%
멸치 6
 
4.4%
6종(굴 3
 
2.2%
우렁쉥이 3
 
2.2%
7종(뱀장어 3
 
2.2%
7종(굴 3
 
2.2%
고등어 2
 
1.5%
Other values (39) 50
36.5%
2023-12-11T07:55:37.005689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
15.1%
, 49
 
7.6%
등 47
 
7.3%
종 44
 
6.8%
( 44
 
6.8%
) 44
 
6.8%
어 28
 
4.3%
치 25
 
3.9%
장 17
 
2.6%
우 12
 
1.9%
Other values (54) 239
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
53.8%
Space Separator 98
 
15.1%
Decimal Number 64
 
9.9%
Other Punctuation 49
 
7.6%
Open Punctuation 44
 
6.8%
Close Punctuation 44
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 47
 
13.5%
종 44
 
12.6%
어 28
 
8.0%
치 25
 
7.2%
장 17
 
4.9%
우 12
 
3.4%
굴 11
 
3.2%
붕 10
 
2.9%
이 10
 
2.9%
렁 10
 
2.9%
Other values (40) 134
38.5%
Decimal Number
ValueCountFrequency (%)
1 10
15.6%
3 10
15.6%
9 9
14.1%
7 9
14.1%
8 7
10.9%
5 6
9.4%
0 4
 
6.2%
6 4
 
6.2%
2 3
 
4.7%
4 2
 
3.1%
Space Separator
ValueCountFrequency (%)
98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
53.8%
Common 299
46.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 47
 
13.5%
종 44
 
12.6%
어 28
 
8.0%
치 25
 
7.2%
장 17
 
4.9%
우 12
 
3.4%
굴 11
 
3.2%
붕 10
 
2.9%
이 10
 
2.9%
렁 10
 
2.9%
Other values (40) 134
38.5%
Common
ValueCountFrequency (%)
98
32.8%
, 49
16.4%
( 44
14.7%
) 44
14.7%
1 10
 
3.3%
3 10
 
3.3%
9 9
 
3.0%
7 9
 
3.0%
8 7
 
2.3%
5 6
 
2.0%
Other values (4) 13
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
53.8%
ASCII 299
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
32.8%
, 49
16.4%
( 44
14.7%
) 44
14.7%
1 10
 
3.3%
3 10
 
3.3%
9 9
 
3.0%
7 9
 
3.0%
8 7
 
2.3%
5 6
 
2.0%
Other values (4) 13
 
4.3%
Hangul
ValueCountFrequency (%)
등 47
 
13.5%
종 44
 
12.6%
어 28
 
8.0%
치 25
 
7.2%
장 17
 
4.9%
우 12
 
3.4%
굴 11
 
3.2%
붕 10
 
2.9%
이 10
 
2.9%
렁 10
 
2.9%
Other values (40) 134
38.5%

검사항목
Text

Distinct35
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T07:55:37.174424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length32.113636
Min length7

Characters and Unicode

Total characters1413
Distinct characters34
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

Unique29 ?
Unique (%)65.9%

Sample

1st row중금속(3종), 식중독균(4종)
2nd row중금속(3종), 동물용 의약품(7종), 금지약품(2종)
3rd row중금속(3종), 동물용 의약품(5종), 금지약품(1종)
4th row중금속(3종), 식중독균(1종)
5th row중금속(3종), 동물용의약품(1종), 식중독균(4종)
ValueCountFrequency (%)
중금속(3종 38
24.5%
기타(1종 20
12.9%
방사능(2종 16
 
10.3%
식중독균(1종 9
 
5.8%
식중독균(4종 7
 
4.5%
동물용의약품(52종 6
 
3.9%
금지약품(10 4
 
2.6%
동물용의약품(45종 4
 
2.6%
금지약품(10종 4
 
2.6%
중금속(4종 3
 
1.9%
Other values (29) 44
28.4%
2023-12-11T07:55:37.477185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 152
 
10.8%
( 152
 
10.8%
종 141
 
10.0%
111
 
7.9%
, 108
 
7.6%
금 68
 
4.8%
중 63
 
4.5%
1 53
 
3.8%
약 52
 
3.7%
품 50
 
3.5%
Other values (24) 463
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 701
49.6%
Decimal Number 189
 
13.4%
Close Punctuation 152
 
10.8%
Open Punctuation 152
 
10.8%
Space Separator 111
 
7.9%
Other Punctuation 108
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 141
20.1%
금 68
 
9.7%
중 63
 
9.0%
약 52
 
7.4%
품 50
 
7.1%
속 44
 
6.3%
물 28
 
4.0%
동 28
 
4.0%
의 27
 
3.9%
용 27
 
3.9%
Other values (10) 173
24.7%
Decimal Number
ValueCountFrequency (%)
1 53
28.0%
3 44
23.3%
2 28
14.8%
4 25
13.2%
5 15
 
7.9%
0 9
 
4.8%
8 4
 
2.1%
9 4
 
2.1%
6 4
 
2.1%
7 3
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 712
50.4%
Hangul 701
49.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 141
20.1%
금 68
 
9.7%
중 63
 
9.0%
약 52
 
7.4%
품 50
 
7.1%
속 44
 
6.3%
물 28
 
4.0%
동 28
 
4.0%
의 27
 
3.9%
용 27
 
3.9%
Other values (10) 173
24.7%
Common
ValueCountFrequency (%)
) 152
21.3%
( 152
21.3%
111
15.6%
, 108
15.2%
1 53
 
7.4%
3 44
 
6.2%
2 28
 
3.9%
4 25
 
3.5%
5 15
 
2.1%
0 9
 
1.3%
Other values (4) 15
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 712
50.4%
Hangul 701
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 152
21.3%
( 152
21.3%
111
15.6%
, 108
15.2%
1 53
 
7.4%
3 44
 
6.2%
2 28
 
3.9%
4 25
 
3.5%
5 15
 
2.1%
0 9
 
1.3%
Other values (4) 15
 
2.1%
Hangul
ValueCountFrequency (%)
종 141
20.1%
금 68
 
9.7%
중 63
 
9.0%
약 52
 
7.4%
품 50
 
7.1%
속 44
 
6.3%
물 28
 
4.0%
동 28
 
4.0%
의 27
 
3.9%
용 27
 
3.9%
Other values (10) 173
24.7%

결과
Categorical

IMBALANCE 

Distinct13
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
전부적합
32 
적합(15건), 부적합(2건)
 
1
적합(69건), 부적합(1건)
 
1
적합(74건), 부적합(3건)
 
1
적합(196건), 부적합(1건)
 
1
Other values (8)
8 

Length

Max length17
Median length4
Mean length7.2954545
Min length4

Unique

Unique12 ?
Unique (%)27.3%

Sample

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

Common Values

ValueCountFrequency (%)
전부적합 32
72.7%
적합(15건), 부적합(2건) 1
 
2.3%
적합(69건), 부적합(1건) 1
 
2.3%
적합(74건), 부적합(3건) 1
 
2.3%
적합(196건), 부적합(1건) 1
 
2.3%
적합(63건), 부적합(3건) 1
 
2.3%
적합(15건), 부적합(1건) 1
 
2.3%
적합(79건), 부적합(1건) 1
 
2.3%
적합(58건), 부적합(6건) 1
 
2.3%
적합(36건), 부적합(1건) 1
 
2.3%
Other values (3) 3
 
6.8%

Length

2023-12-11T07:55:37.588234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전부적합 32
57.1%
부적합(1건 6
 
10.7%
부적합(3건 3
 
5.4%
적합(15건 2
 
3.6%
적합(58건 1
 
1.8%
적합(45건 1
 
1.8%
부적합(4건 1
 
1.8%
적합(61건 1
 
1.8%
적합(36건 1
 
1.8%
부적합(6건 1
 
1.8%
Other values (7) 7
 
12.5%

비고
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing32
Missing (%)72.7%
Memory size484.0 B
2023-12-11T07:55:37.735778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length36
Mean length30.666667
Min length22

Characters and Unicode

Total characters368
Distinct characters55
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

Unique12 ?
Unique (%)100.0%

Sample

1st row밀양지역 뱀장어에서 항생물질 초과 검출, 출하연기
2nd row남해지역 넙치에서 항생물질 초과 검출, 출하연기
3rd row사천, 통영지역 양식 농어, 능성어에서 항생물질 초과검출, 출하연기
4th row김해지역 메기에서 중금속 초과검출, 폐기
5th row남해, 거제지역 양식 넙치, 강도다리에서 항생물질 초과검출, 출하연기
ValueCountFrequency (%)
항생물질 11
13.9%
출하연기 11
13.9%
초과검출 10
12.7%
양식 8
 
10.1%
넙치에서 4
 
5.1%
남해 3
 
3.8%
뱀장어에서 3
 
3.8%
통영 2
 
2.5%
밀양지역 2
 
2.5%
고성지역 2
 
2.5%
Other values (19) 23
29.1%
2023-12-11T07:55:38.040026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
18.2%
출 23
 
6.2%
, 21
 
5.7%
기 13
 
3.5%
초 12
 
3.3%
지 12
 
3.3%
역 12
 
3.3%
에 12
 
3.3%
서 12
 
3.3%
검 12
 
3.3%
Other values (45) 172
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
76.1%
Space Separator 67
 
18.2%
Other Punctuation 21
 
5.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
출 23
 
8.2%
기 13
 
4.6%
초 12
 
4.3%
지 12
 
4.3%
역 12
 
4.3%
에 12
 
4.3%
서 12
 
4.3%
검 12
 
4.3%
과 12
 
4.3%
연 11
 
3.9%
Other values (43) 149
53.2%
Space Separator
ValueCountFrequency (%)
67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
76.1%
Common 88
 
23.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 23
 
8.2%
기 13
 
4.6%
초 12
 
4.3%
지 12
 
4.3%
역 12
 
4.3%
에 12
 
4.3%
서 12
 
4.3%
검 12
 
4.3%
과 12
 
4.3%
연 11
 
3.9%
Other values (43) 149
53.2%
Common
ValueCountFrequency (%)
67
76.1%
, 21
 
23.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
76.1%
ASCII 88
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
76.1%
, 21
 
23.9%
Hangul
ValueCountFrequency (%)
출 23
 
8.2%
기 13
 
4.6%
초 12
 
4.3%
지 12
 
4.3%
역 12
 
4.3%
에 12
 
4.3%
서 12
 
4.3%
검 12
 
4.3%
과 12
 
4.3%
연 11
 
3.9%
Other values (43) 149
53.2%

Interactions

2023-12-11T07:55:35.142942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:55:35.009284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:55:35.209249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:55:35.079856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:55:38.122082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도구 분검사건수(지역)주요검사품종검사항목결과비고
연번1.0000.9560.0000.8630.5150.7140.3111.000
연도0.9561.0000.0000.8570.5340.8840.2121.000
구 분0.0000.0001.0000.9541.0000.8460.5471.000
검사건수(지역)0.8630.8570.9541.0000.9970.9760.9261.000
주요검사품종0.5150.5341.0000.9971.0000.9650.9591.000
검사항목0.7140.8840.8460.9760.9651.0000.9731.000
결과0.3110.2120.5470.9260.9590.9731.0001.000
비고1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T07:55:38.209470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분결과
구 분1.0000.250
결과0.2501.000
2023-12-11T07:55:38.273608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도구 분결과
연번1.0000.9960.0000.092
연도0.9961.0000.0000.141
구 분0.0000.0001.0000.250
결과0.0920.1410.2501.000

Missing values

2023-12-11T07:55:35.306209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:55:35.406311image/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)6종(굴, 진주담치 등)중금속(3종), 식중독균(4종)전부적합<NA>
122011해면양식 어류31건(거제시 등 5개 시·군)9종(조피볼락, 넙치 등)중금속(3종), 동물용 의약품(7종), 금지약품(2종)전부적합<NA>
232011내수면 양식4건(밀양시 등 3개 시·군)3종(뱀장어, 향어 등)중금속(3종), 동물용 의약품(5종), 금지약품(1종)전부적합<NA>
342011해면어획 수산물104건(통영수협 등 4개 위판장)28종(붕장어, 멸치 등)중금속(3종), 식중독균(1종)전부적합<NA>
452012해면양식 패류229건(통영시 등 6개 시·군)7종(굴, 진주담치 등)중금속(3종), 동물용의약품(1종), 식중독균(4종)전부적합<NA>
562012해면양식 어류62건(통영시 등 5개 시·군)11종(조피볼락, 넙치 등)중금속(2종), 동물용의약품(43종), 금지약품(8종), 기타(1종)전부적합<NA>
672012내수면 양식17건(밀양시 등 9개 시·군)7종(뱀장어, 다슬기 등)중금속(3종), 동물용의약품(19종), 금지약품(7종), 기타(1종)적합(15건), 부적합(2건)밀양지역 뱀장어에서 항생물질 초과 검출, 출하연기
782012해면어획 수산물156건(통영수협 등 4개 위판장)25종(붕장어, 멸치 등)중금속(3종)전부적합<NA>
892013해면양식 패류208건(통영시 등 6개 시·군)6종(굴, 진주담치 등)중금속(3종), 식중독균(4종)전부적합<NA>
9102013해면양식 어류57건(통영시 등 6개 시·군)7종(조피볼락, 넙치 등)중금속(2종), 동물용의약품(50종), 금지약품(9종)전부적합<NA>
연번연도구 분검사건수(지역)주요검사품종검사항목결과비고
34352019내수면 양식37건(산청군 등 11개 시·군)9종(쏘가리, 우렁이 등)중금속(3종), 동물용의약품(52종), 금지약품(11), 기타(1종)적합(36건), 부적합(1건)밀양지역 양식 미꾸리에서 항생물질 초과검출, 출하연기
35362019해·내수면 어획수산물147건(거제시 등 5개 시·군)36종(붕장어, 붕어 등)중금속(3종), 방사능(2종), 식중독균(1종), 기타(1종)전부적합<NA>
36372020해면양식 패류, 피낭류286건(남해군 등 6개 시·군)9종(굴, 우렁쉥이 등)중금속(3종), 방사능(2종), 식중독균(1종)전부적합<NA>
37382020해면양식 어류, 갑각류65건(거제시 등 6개 시·군)10종(문치가자미, 흰다리새우 등)중금속(3종), 동물용의약품(52종), 금지약품(14), 기타(1종)적합(61건), 부적합(4건)통영, 남해, 고성지역 양식 넙치에서 항생물질 초과검출, 출하연기
38392020내수면 양식46건(창원시 등 11개 시·군)15종(뱀장어, 우렁이 등)중금속(3종), 동물용의약품(52종), 금지약품(13), 기타(1종)적합(45건), 부적합(1건)양산지역 양식 뱀장어에서 항생물질 초과검출, 출하연기
39402020해·내수면 어획수산물183건(통영시 등 4개 시·군)50종(청어, 학꽁치 등)중금속(3종), 방사능(2종), 식중독균(1종)전부적합<NA>
40412021해면양식 패류, 피낭류208건(통영시 등 6개 시·군)9종(굴, 우렁쉥이 등)중금속(3종), 방사능(2종), 식중독균(1종), 기타(1종)전부적합<NA>
41422021해면양식 어류, 갑각류45건(거제시 등 6개 시·군)10종(숭어, 흰다리새우 등)중금속(3종), 동물용의약품(36종), 금지약품(14), 기타(1종)적합(42건), 부적합(3건)남해, 고성지역 양식 넙치에서 항생물질 초과검출, 출하연기
42432021내수면 양식23건(함안군 등 9개 시·군)7종(뱀장어, 우렁이 등)중금속(3종), 동물용의약품(36종), 금지약품(13), 기타(1종)전부적합<NA>
43442021해·내수면 어획수산물91건(통영시 등 4개 시·군)38종(청어, 학꽁치 등)중금속(3종), 방사능(2종), 기타(1종)전부적합<NA>