Overview

Dataset statistics

Number of variables8
Number of observations52
Missing cells37
Missing cells (%)8.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory68.5 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.
URLhttps://www.data.go.kr/data/3079131/fileData.do

Alerts

연번 is highly overall correlated with 연도High correlation
연도 is highly overall correlated with 연번High correlation
결과 is highly imbalanced (50.2%)Imbalance
비고 has 37 (71.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:08:02.156623
Analysis finished2023-12-12 23:08:03.275612
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T08:08:03.357654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-13T08:08:03.490912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017
Minimum2011
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T08:08:03.598794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12014
median2017
Q32020
95-th percentile2023
Maximum2023
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.7781622
Coefficient of variation (CV)0.0018731593
Kurtosis-1.2147813
Mean2017
Median Absolute Deviation (MAD)3
Skewness0
Sum104884
Variance14.27451
MonotonicityIncreasing
2023-12-13T08:08:03.710618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2011 4
 
7.7%
2012 4
 
7.7%
2013 4
 
7.7%
2014 4
 
7.7%
2015 4
 
7.7%
2016 4
 
7.7%
2017 4
 
7.7%
2018 4
 
7.7%
2019 4
 
7.7%
2020 4
 
7.7%
Other values (3) 12
23.1%
ValueCountFrequency (%)
2011 4
7.7%
2012 4
7.7%
2013 4
7.7%
2014 4
7.7%
2015 4
7.7%
2016 4
7.7%
2017 4
7.7%
2018 4
7.7%
2019 4
7.7%
2020 4
7.7%
ValueCountFrequency (%)
2023 4
7.7%
2022 4
7.7%
2021 4
7.7%
2020 4
7.7%
2019 4
7.7%
2018 4
7.7%
2017 4
7.7%
2016 4
7.7%
2015 4
7.7%
2014 4
7.7%

구 분
Categorical

Distinct9
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size548.0 B
내수면 양식
13 
해·내수면 어획
11 
해면양식 패류
7 
해면양식 어류, 갑각류
5 
해면양식 어류
4 
Other values (4)
12 

Length

Max length17
Median length11.5
Mean length8.4807692
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해면양식 패류
2nd row해면양식 어류
3rd row내수면 양식
4th row해면 어획
5th row해면양식 패류

Common Values

ValueCountFrequency (%)
내수면 양식 13
25.0%
해·내수면 어획 11
21.2%
해면양식 패류 7
13.5%
해면양식 어류, 갑각류 5
 
9.6%
해면양식 어류 4
 
7.7%
해면양식 어류,갑각류 4
 
7.7%
해면양식 패류, 피낭류 4
 
7.7%
해면 어획 2
 
3.8%
해면양식 패류, 피낭류, 해조류 2
 
3.8%

Length

2023-12-13T08:08:03.836759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:08:03.975877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해면양식 26
22.2%
내수면 13
11.1%
양식 13
11.1%
어획 13
11.1%
패류 13
11.1%
해·내수면 11
9.4%
어류 9
 
7.7%
피낭류 6
 
5.1%
갑각류 5
 
4.3%
어류,갑각류 4
 
3.4%
Other values (2) 4
 
3.4%

검사건수_지역
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T08:08:04.228535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17.5
Mean length15.673077
Min length14

Characters and Unicode

Total characters815
Distinct characters41
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

Unique50 ?
Unique (%)96.2%

Sample

1st row171건_통영시 등 5개 시군
2nd row31건_거제시 등 5개 시군
3rd row4건_밀양시 등 3개 시군
4th row104건_통영수협 등 4개 위판장
5th row229건_통영시 등 6개 시군
ValueCountFrequency (%)
등 52
25.0%
시군 49
23.6%
6개 19
 
9.1%
5개 10
 
4.8%
7개 6
 
2.9%
4개 5
 
2.4%
9개 4
 
1.9%
66건_통영시 2
 
1.0%
13건_창녕군 2
 
1.0%
8개 2
 
1.0%
Other values (52) 57
27.4%
2023-12-13T08:08:04.677509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
19.1%
시 89
10.9%
군 60
 
7.4%
_ 52
 
6.4%
등 52
 
6.4%
개 52
 
6.4%
건 52
 
6.4%
6 32
 
3.9%
통 31
 
3.8%
영 31
 
3.8%
Other values (31) 208
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 421
51.7%
Decimal Number 185
22.7%
Space Separator 156
 
19.1%
Connector Punctuation 52
 
6.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 89
21.1%
군 60
14.3%
등 52
12.4%
개 52
12.4%
건 52
12.4%
통 31
 
7.4%
영 31
 
7.4%
창 6
 
1.4%
거 6
 
1.4%
제 5
 
1.2%
Other values (18) 37
8.8%
Decimal Number
ValueCountFrequency (%)
6 32
17.3%
1 28
15.1%
2 22
11.9%
3 21
11.4%
7 19
10.3%
5 15
8.1%
9 14
7.6%
4 14
7.6%
0 12
 
6.5%
8 8
 
4.3%
Space Separator
ValueCountFrequency (%)
156
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 52
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 421
51.7%
Common 394
48.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 89
21.1%
군 60
14.3%
등 52
12.4%
개 52
12.4%
건 52
12.4%
통 31
 
7.4%
영 31
 
7.4%
창 6
 
1.4%
거 6
 
1.4%
제 5
 
1.2%
Other values (18) 37
8.8%
Common
ValueCountFrequency (%)
156
39.6%
_ 52
 
13.2%
6 32
 
8.1%
1 28
 
7.1%
2 22
 
5.6%
3 21
 
5.3%
7 19
 
4.8%
5 15
 
3.8%
9 14
 
3.6%
4 14
 
3.6%
Other values (3) 21
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 421
51.7%
ASCII 393
48.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
39.7%
_ 52
 
13.2%
6 32
 
8.1%
1 28
 
7.1%
2 22
 
5.6%
3 21
 
5.3%
7 19
 
4.8%
5 15
 
3.8%
9 14
 
3.6%
4 14
 
3.6%
Other values (2) 20
 
5.1%
Hangul
ValueCountFrequency (%)
시 89
21.1%
군 60
14.3%
등 52
12.4%
개 52
12.4%
건 52
12.4%
통 31
 
7.4%
영 31
 
7.4%
창 6
 
1.4%
거 6
 
1.4%
제 5
 
1.2%
Other values (18) 37
8.8%
None
ValueCountFrequency (%)
· 1
100.0%

주요검사품종
Text

Distinct46
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T08:08:04.892829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length14.615385
Min length13

Characters and Unicode

Total characters760
Distinct characters71
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

Unique41 ?
Unique (%)78.8%

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 52
32.1%
넙치 8
 
4.9%
진주담치 8
 
4.9%
우렁이 7
 
4.3%
멸치 6
 
3.7%
9종(뱀장어 4
 
2.5%
우렁쉥이 4
 
2.5%
6종(굴 3
 
1.9%
7종(굴 3
 
1.9%
9종(조피볼락 3
 
1.9%
Other values (52) 64
39.5%
2023-12-13T08:08:05.238151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
15.1%
, 57
 
7.5%
등 55
 
7.2%
( 52
 
6.8%
종 52
 
6.8%
) 52
 
6.8%
어 33
 
4.3%
치 26
 
3.4%
장 21
 
2.8%
우 15
 
2.0%
Other values (61) 282
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
53.6%
Space Separator 115
 
15.1%
Decimal Number 77
 
10.1%
Other Punctuation 57
 
7.5%
Open Punctuation 52
 
6.8%
Close Punctuation 52
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 55
 
13.5%
종 52
 
12.8%
어 33
 
8.1%
치 26
 
6.4%
장 21
 
5.2%
우 15
 
3.7%
굴 13
 
3.2%
뱀 12
 
2.9%
렁 12
 
2.9%
이 12
 
2.9%
Other values (47) 156
38.3%
Decimal Number
ValueCountFrequency (%)
1 13
16.9%
9 12
15.6%
3 9
11.7%
8 9
11.7%
7 8
10.4%
2 7
9.1%
0 6
7.8%
6 6
7.8%
5 6
7.8%
4 1
 
1.3%
Space Separator
ValueCountFrequency (%)
115
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
53.6%
Common 353
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 55
 
13.5%
종 52
 
12.8%
어 33
 
8.1%
치 26
 
6.4%
장 21
 
5.2%
우 15
 
3.7%
굴 13
 
3.2%
뱀 12
 
2.9%
렁 12
 
2.9%
이 12
 
2.9%
Other values (47) 156
38.3%
Common
ValueCountFrequency (%)
115
32.6%
, 57
16.1%
( 52
14.7%
) 52
14.7%
1 13
 
3.7%
9 12
 
3.4%
3 9
 
2.5%
8 9
 
2.5%
7 8
 
2.3%
2 7
 
2.0%
Other values (4) 19
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
53.6%
ASCII 353
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
32.6%
, 57
16.1%
( 52
14.7%
) 52
14.7%
1 13
 
3.7%
9 12
 
3.4%
3 9
 
2.5%
8 9
 
2.5%
7 8
 
2.3%
2 7
 
2.0%
Other values (4) 19
 
5.4%
Hangul
ValueCountFrequency (%)
등 55
 
13.5%
종 52
 
12.8%
어 33
 
8.1%
치 26
 
6.4%
장 21
 
5.2%
우 15
 
3.7%
굴 13
 
3.2%
뱀 12
 
2.9%
렁 12
 
2.9%
이 12
 
2.9%
Other values (47) 156
38.3%

검사항목
Text

Distinct40
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T08:08:05.489514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length33.980769
Min length7

Characters and Unicode

Total characters1767
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

Unique32 ?
Unique (%)61.5%

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 46
24.1%
방사능(2종 24
12.6%
기타(1종 23
12.0%
식중독균(1종 11
 
5.8%
식중독균(4종 7
 
3.7%
금지약품(10 6
 
3.1%
동물용의약품(45종 5
 
2.6%
금지약품(10종 4
 
2.1%
금지약품(14종 4
 
2.1%
동물용의약품(52종 4
 
2.1%
Other values (33) 57
29.8%
2023-12-13T08:08:05.825195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 191
 
10.8%
) 191
 
10.8%
종 182
 
10.3%
139
 
7.9%
, 136
 
7.7%
금 80
 
4.5%
중 76
 
4.3%
1 68
 
3.8%
약 61
 
3.5%
품 59
 
3.3%
Other values (24) 584
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 874
49.5%
Decimal Number 236
 
13.4%
Open Punctuation 191
 
10.8%
Close Punctuation 191
 
10.8%
Space Separator 139
 
7.9%
Other Punctuation 136
 
7.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 182
20.8%
금 80
 
9.2%
중 76
 
8.7%
약 61
 
7.0%
품 59
 
6.8%
속 52
 
5.9%
동 33
 
3.8%
물 33
 
3.8%
용 32
 
3.7%
의 32
 
3.7%
Other values (10) 234
26.8%
Decimal Number
ValueCountFrequency (%)
1 68
28.8%
3 51
21.6%
2 37
15.7%
4 35
14.8%
5 16
 
6.8%
0 11
 
4.7%
7 5
 
2.1%
6 5
 
2.1%
9 4
 
1.7%
8 4
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Other Punctuation
ValueCountFrequency (%)
, 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 893
50.5%
Hangul 874
49.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 182
20.8%
금 80
 
9.2%
중 76
 
8.7%
약 61
 
7.0%
품 59
 
6.8%
속 52
 
5.9%
동 33
 
3.8%
물 33
 
3.8%
용 32
 
3.7%
의 32
 
3.7%
Other values (10) 234
26.8%
Common
ValueCountFrequency (%)
( 191
21.4%
) 191
21.4%
139
15.6%
, 136
15.2%
1 68
 
7.6%
3 51
 
5.7%
2 37
 
4.1%
4 35
 
3.9%
5 16
 
1.8%
0 11
 
1.2%
Other values (4) 18
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 893
50.5%
Hangul 874
49.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 191
21.4%
) 191
21.4%
139
15.6%
, 136
15.2%
1 68
 
7.6%
3 51
 
5.7%
2 37
 
4.1%
4 35
 
3.9%
5 16
 
1.8%
0 11
 
1.2%
Other values (4) 18
 
2.0%
Hangul
ValueCountFrequency (%)
종 182
20.8%
금 80
 
9.2%
중 76
 
8.7%
약 61
 
7.0%
품 59
 
6.8%
속 52
 
5.9%
동 33
 
3.8%
물 33
 
3.8%
용 32
 
3.7%
의 32
 
3.7%
Other values (10) 234
26.8%

결과
Categorical

IMBALANCE 

Distinct16
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
전부적합
37 
적합(15건), 부적합(2건)
 
1
적합(69건), 부적합(1건)
 
1
적합(74건), 부적합(3건)
 
1
적합(196건), 부적합(1건)
 
1
Other values (11)
11 

Length

Max length17
Median length4
Mean length7.4807692
Min length4

Unique

Unique15 ?
Unique (%)28.8%

Sample

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

Common Values

ValueCountFrequency (%)
전부적합 37
71.2%
적합(15건), 부적합(2건) 1
 
1.9%
적합(69건), 부적합(1건) 1
 
1.9%
적합(74건), 부적합(3건) 1
 
1.9%
적합(196건), 부적합(1건) 1
 
1.9%
적합(63건), 부적합(3건) 1
 
1.9%
적합(15건), 부적합(1건) 1
 
1.9%
적합(79건), 부적합(1건) 1
 
1.9%
적합(58건), 부적합(6건) 1
 
1.9%
적합(36건), 부적합(1건) 1
 
1.9%
Other values (6) 6
 
11.5%

Length

2023-12-13T08:08:06.020675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전부적합 37
55.2%
부적합(1건 7
 
10.4%
부적합(3건 3
 
4.5%
부적합(2건 2
 
3.0%
부적합(4건 2
 
3.0%
적합(15건 2
 
3.0%
적합(58건 2
 
3.0%
적합(36건 1
 
1.5%
적합(27건 1
 
1.5%
적합(64건 1
 
1.5%
Other values (9) 9
 
13.4%

비고
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing37
Missing (%)71.2%
Memory size548.0 B
2023-12-13T08:08:06.263341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length32.2
Min length25

Characters and Unicode

Total characters483
Distinct characters57
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

Unique15 ?
Unique (%)100.0%

Sample

1st row밀양지역 양식 뱀장어에서 항생물질 초과 검출, 출하연기
2nd row남해지역 양식 넙치에서 항생물질 초과 검출, 출하연기
3rd row사천, 통영지역 양식 농어, 능성어에서 항생물질 초과검출, 출하연기
4th row김해지역 어획 메기에서 중금속 초과검출, 폐기
5th row남해, 거제지역 양식 넙치, 강도다리에서 항생물질 초과검출, 출하연기
ValueCountFrequency (%)
항생물질 14
13.3%
양식 14
13.3%
출하연기 14
13.3%
초과검출 13
12.4%
넙치에서 6
 
5.7%
거제지역 4
 
3.8%
통영 4
 
3.8%
남해 3
 
2.9%
고성지역 3
 
2.9%
뱀장어에서 3
 
2.9%
Other values (21) 27
25.7%
2023-12-13T08:08:06.634207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
18.6%
출 29
 
6.0%
, 28
 
5.8%
양 17
 
3.5%
지 16
 
3.3%
기 16
 
3.3%
초 15
 
3.1%
역 15
 
3.1%
에 15
 
3.1%
서 15
 
3.1%
Other values (47) 227
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
75.6%
Space Separator 90
 
18.6%
Other Punctuation 28
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
출 29
 
7.9%
양 17
 
4.7%
지 16
 
4.4%
기 16
 
4.4%
초 15
 
4.1%
역 15
 
4.1%
에 15
 
4.1%
서 15
 
4.1%
검 15
 
4.1%
과 15
 
4.1%
Other values (45) 197
54.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
75.6%
Common 118
 
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 29
 
7.9%
양 17
 
4.7%
지 16
 
4.4%
기 16
 
4.4%
초 15
 
4.1%
역 15
 
4.1%
에 15
 
4.1%
서 15
 
4.1%
검 15
 
4.1%
과 15
 
4.1%
Other values (45) 197
54.0%
Common
ValueCountFrequency (%)
90
76.3%
, 28
 
23.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
75.6%
ASCII 118
 
24.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
76.3%
, 28
 
23.7%
Hangul
ValueCountFrequency (%)
출 29
 
7.9%
양 17
 
4.7%
지 16
 
4.4%
기 16
 
4.4%
초 15
 
4.1%
역 15
 
4.1%
에 15
 
4.1%
서 15
 
4.1%
검 15
 
4.1%
과 15
 
4.1%
Other values (45) 197
54.0%

Interactions

2023-12-13T08:08:02.823437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:02.615180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:02.921747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:02.717397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:08:06.752228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도구 분검사건수_지역주요검사품종검사항목결과비고
연번1.0000.9830.0000.9290.6180.8550.3001.000
연도0.9831.0000.0000.9730.7460.8310.0001.000
구 분0.0000.0001.0000.8591.0000.9410.1421.000
검사건수_지역0.9290.9730.8591.0000.9860.9740.0001.000
주요검사품종0.6180.7461.0000.9861.0000.9500.9641.000
검사항목0.8550.8310.9410.9740.9501.0000.9791.000
결과0.3000.0000.1420.0000.9640.9791.0001.000
비고1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T08:08:06.871013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
결과구 분
결과1.0000.000
구 분0.0001.000
2023-12-13T08:08:06.961197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도구 분결과
연번1.0000.9970.0000.078
연도0.9971.0000.0000.000
구 분0.0000.0001.0000.000
결과0.0780.0000.0001.000

Missing values

2023-12-13T08:08:03.054767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:08:03.218975image/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_지역주요검사품종검사항목결과비고
012011해면양식 패류171건_통영시 등 5개 시군6종(굴, 진주담치 등)중금속(3종), 식중독균(4종)전부적합<NA>
122011해면양식 어류31건_거제시 등 5개 시군9종(조피볼락, 넙치 등)중금속(3종), 동물용 의약품(7종), 금지약품(2종)전부적합<NA>
232011내수면 양식4건_밀양시 등 3개 시군3종(뱀장어, 향어 등)중금속(3종), 동물용 의약품(5종), 금지약품(1종)전부적합<NA>
342011해면 어획104건_통영수협 등 4개 위판장28종(붕장어, 멸치 등)중금속(3종), 식중독균(1종)전부적합<NA>
452012해면양식 패류229건_통영시 등 6개 시군7종(굴, 진주담치 등)중금속(3종), 동물용의약품(1종), 식중독균(4종)전부적합<NA>
562012해면양식 어류62건_통영시 등 5개 시군11종(조피볼락, 넙치 등)중금속(2종), 동물용의약품(43종), 금지약품(8종), 기타(1종)전부적합<NA>
672012내수면 양식17건_밀양시 등 9개 시군7종(뱀장어, 다슬기 등)중금속(3종), 동물용의약품(19종), 금지약품(7종), 기타(1종)적합(15건), 부적합(2건)밀양지역 양식 뱀장어에서 항생물질 초과 검출, 출하연기
782012해면 어획156건_통영수협 등 4개 위판장25종(붕장어, 멸치 등)중금속(3종)전부적합<NA>
892013해면양식 패류208건_통영시 등 6개 시·군6종(굴, 진주담치 등)중금속(3종), 식중독균(4종)전부적합<NA>
9102013해면양식 어류57건_통영시 등 6개 시군7종(조피볼락, 넙치 등)중금속(2종), 동물용의약품(50종), 금지약품(9종)전부적합<NA>
연번연도구 분검사건수_지역주요검사품종검사항목결과비고
42432021내수면 양식32건_함안군 등 9개 시군9종(뱀장어, 우렁이 등)중금속(3종), 동물용의약품(36종), 금지약품(14종), 기타(1종)전부적합<NA>
43442021해·내수면 어획233건_통영시 등 4개 시군62종(청어, 학꽁치 등)중금속(3종), 방사능(2종), 식중독균(1종), 기타(1종)전부적합<NA>
44452022해면양식 패류, 피낭류, 해조류312건_통영시 등 6개 시군15 종(굴, 우렁쉥이 등)중금속(3종), 방사능(2종), 식중독균(1종), 동물용의약품(4종), 기타(1종)전부적합<NA>
45462022해면양식 어류, 갑각류66건_통영시 등 6개 시군9종(자주복, 흰다리새우 등)중금속(3종), 방사능(2종), 동물용의약품(44종), 금지약품(15종), 기타(1종)적합(64건), 부적합(2건)고성, 거제지역 양식 넙치에서 항생물질 초과검출, 출하연기
46472022내수면 양식41건_양산시 등 10개 시군9종(뱀장어, 왕우렁이 등)중금속(3종), 방사능(2종), 동물용의약품(43종), 금지약품(14종), 기타(1종)전부적합<NA>
47482022해·내수면 어획243건_통영시 등 9개 시군82종(붕장어, 낙지 등)중금속(3종), 방사능(2종), 식중독균(1종)기타(1종)전부적합<NA>
48492023해면양식 패류, 피낭류, 해조류250건_통영시 등 6개 시군10종(굴, 새꼬막 등)중금속(3종), 방사능(2종), 식중독균(1종)기타(1종)전부적합<NA>
49502023해면양식 어류, 갑각류30건_통영시 등 6개 시군9종(숭어, 감성돔 등)중금속(3종), 방사능(2종), 동물용의약품(47종), 금지약품(14종), 기타(2종)적합(27건), 부적합(3건)통영, 거제지역 양식 넙치에서 항생물질 초과검출, 출하연기
50512023내수면 양식34건_고성군 등 10개 시군8종(메기, 뱀장어 등)중금속(3종), 방사능(2종), 동물용의약품(47종), 금지약품(14종), 기타(2종)적합(33건), 부적합(1건)고성지역 양식 넙치에서 항생물질 초과검출, 출하연기
51522023해·내수면 어획239건_통영시 등 7개 시군62종(가오리, 갈치 등)중금속(3종), 방사능(2종), 식중독균(1종)기타(1종)전부적합<NA>