Overview

Dataset statistics

Number of variables18
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory149.6 B

Variable types

Numeric3
Categorical10
DateTime4
Text1

Dataset

Description인천광역시 서구의 유통식품 방사능 수거검사 결과에 대한 데이터로 수거일자, 수거식품명, 제품규격 및 단위, 수거량, 식품유형, 원산지 종류ㅡ 겅사항목, 데이터기준일 등을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039524&srcSe=7661IVAWM27C61E190

Alerts

시도 has constant value ""Constant
군구 has constant value ""Constant
수거검사명 has constant value ""Constant
검사기관 has constant value ""Constant
검사결과 has constant value ""Constant
데이터기준일자 has constant value ""Constant
검사항목 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
단위(정량) is highly overall correlated with 연번 and 6 other fieldsHigh correlation
식품유형 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
연번 is highly overall correlated with 수거량(정량) and 4 other fieldsHigh correlation
제품규격(정량) is highly overall correlated with 수거량(정량) and 5 other fieldsHigh correlation
수거량(정량) is highly overall correlated with 연번 and 6 other fieldsHigh correlation
수거량 is highly overall correlated with 제품규격(정량) and 5 other fieldsHigh correlation
국산-수입 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:08:49.496127
Analysis finished2024-01-28 12:08:50.892907
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T21:08:50.952964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2024-01-28T21:08:51.073752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
인천광역시
50 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 50
100.0%

Length

2024-01-28T21:08:51.182356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:51.253548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 50
100.0%

군구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서구
50 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 50
100.0%

Length

2024-01-28T21:08:51.325111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:51.394059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 50
100.0%

식품수거일자
Date

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2022-04-26 00:00:00
Maximum2022-10-24 00:00:00
2024-01-28T21:08:51.684881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:51.763708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

수거검사명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
방사능검사
50 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방사능검사 50
100.0%

Length

2024-01-28T21:08:51.859818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:51.927030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방사능검사 50
100.0%

수거식품명
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-28T21:08:52.105021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length6.24
Min length1

Characters and Unicode

Total characters312
Distinct characters100
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row농어
2nd row가자미
3rd row백조기
4th row국산고등어
5th row국산 참조기
ValueCountFrequency (%)
감자 2
 
2.8%
가자미 2
 
2.8%
새송이버섯 2
 
2.8%
beer 2
 
2.8%
국산 2
 
2.8%
낙지 2
 
2.8%
생물 2
 
2.8%
농어 1
 
1.4%
안옥남완도자른다시마 1
 
1.4%
제주생은갈치 1
 
1.4%
Other values (54) 54
76.1%
2024-01-28T21:08:52.423163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 28
 
9.0%
21
 
6.7%
R 14
 
4.5%
L 14
 
4.5%
S 13
 
4.2%
A 10
 
3.2%
N 10
 
3.2%
I 10
 
3.2%
생 6
 
1.9%
D 5
 
1.6%
Other values (90) 181
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
47.1%
Uppercase Letter 142
45.5%
Space Separator 21
 
6.7%
Decimal Number 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
생 6
 
4.1%
어 5
 
3.4%
이 5
 
3.4%
자 5
 
3.4%
오 4
 
2.7%
고 4
 
2.7%
마 4
 
2.7%
갈 3
 
2.0%
다 3
 
2.0%
물 3
 
2.0%
Other values (66) 105
71.4%
Uppercase Letter
ValueCountFrequency (%)
E 28
19.7%
R 14
9.9%
L 14
9.9%
S 13
9.2%
A 10
 
7.0%
N 10
 
7.0%
I 10
 
7.0%
D 5
 
3.5%
T 5
 
3.5%
G 5
 
3.5%
Other values (11) 28
19.7%
Space Separator
ValueCountFrequency (%)
21
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
47.1%
Latin 142
45.5%
Common 23
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
생 6
 
4.1%
어 5
 
3.4%
이 5
 
3.4%
자 5
 
3.4%
오 4
 
2.7%
고 4
 
2.7%
마 4
 
2.7%
갈 3
 
2.0%
다 3
 
2.0%
물 3
 
2.0%
Other values (66) 105
71.4%
Latin
ValueCountFrequency (%)
E 28
19.7%
R 14
9.9%
L 14
9.9%
S 13
9.2%
A 10
 
7.0%
N 10
 
7.0%
I 10
 
7.0%
D 5
 
3.5%
T 5
 
3.5%
G 5
 
3.5%
Other values (11) 28
19.7%
Common
ValueCountFrequency (%)
21
91.3%
5 1
 
4.3%
% 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 165
52.9%
Hangul 147
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 28
17.0%
21
12.7%
R 14
 
8.5%
L 14
 
8.5%
S 13
 
7.9%
A 10
 
6.1%
N 10
 
6.1%
I 10
 
6.1%
D 5
 
3.0%
T 5
 
3.0%
Other values (14) 35
21.2%
Hangul
ValueCountFrequency (%)
생 6
 
4.1%
어 5
 
3.4%
이 5
 
3.4%
자 5
 
3.4%
오 4
 
2.7%
고 4
 
2.7%
마 4
 
2.7%
갈 3
 
2.0%
다 3
 
2.0%
물 3
 
2.0%
Other values (66) 105
71.4%

제품규격(정량)
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.15
Minimum1
Maximum700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T21:08:52.523329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median43
Q3497.5
95-th percentile555
Maximum700
Range699
Interquartile range (IQR)496

Descriptive statistics

Standard deviation236.382
Coefficient of variation (CV)1.1869545
Kurtosis-1.1134655
Mean199.15
Median Absolute Deviation (MAD)42
Skewness0.69306895
Sum9957.5
Variance55876.449
MonotonicityNot monotonic
2024-01-28T21:08:52.648730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
500.0 10
20.0%
2.0 8
16.0%
1.5 6
12.0%
1.0 5
10.0%
200.0 3
 
6.0%
700.0 2
 
4.0%
1.2 2
 
4.0%
120.0 2
 
4.0%
1.1 1
 
2.0%
3.0 1
 
2.0%
Other values (10) 10
20.0%
ValueCountFrequency (%)
1.0 5
10.0%
1.1 1
 
2.0%
1.2 2
 
4.0%
1.4 1
 
2.0%
1.5 6
12.0%
1.6 1
 
2.0%
2.0 8
16.0%
3.0 1
 
2.0%
83.0 1
 
2.0%
120.0 2
 
4.0%
ValueCountFrequency (%)
700.0 2
 
4.0%
600.0 1
 
2.0%
500.0 10
20.0%
490.0 1
 
2.0%
400.0 1
 
2.0%
350.0 1
 
2.0%
300.0 1
 
2.0%
295.0 1
 
2.0%
200.0 3
 
6.0%
160.0 1
 
2.0%

단위(정량)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
KG
25 
g
15 
ML
10 

Length

Max length2
Median length2
Mean length1.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowg
2nd rowKG
3rd rowKG
4th rowg
5th rowg

Common Values

ValueCountFrequency (%)
KG 25
50.0%
g 15
30.0%
ML 10
 
20.0%

Length

2024-01-28T21:08:52.763689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:52.842288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kg 25
50.0%
g 15
30.0%
ml 10
 
20.0%

수거량(정량)
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.48
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-28T21:08:52.920916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile10
Maximum24
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.072005
Coefficient of variation (CV)1.1701164
Kurtosis12.57782
Mean3.48
Median Absolute Deviation (MAD)1
Skewness3.0699736
Sum174
Variance16.581224
MonotonicityNot monotonic
2024-01-28T21:08:53.006085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 24
48.0%
4 12
24.0%
3 3
 
6.0%
10 3
 
6.0%
2 3
 
6.0%
24 1
 
2.0%
6 1
 
2.0%
11 1
 
2.0%
9 1
 
2.0%
7 1
 
2.0%
ValueCountFrequency (%)
1 24
48.0%
2 3
 
6.0%
3 3
 
6.0%
4 12
24.0%
6 1
 
2.0%
7 1
 
2.0%
9 1
 
2.0%
10 3
 
6.0%
11 1
 
2.0%
24 1
 
2.0%
ValueCountFrequency (%)
24 1
 
2.0%
11 1
 
2.0%
10 3
 
6.0%
9 1
 
2.0%
7 1
 
2.0%
6 1
 
2.0%
4 12
24.0%
3 3
 
6.0%
2 3
 
6.0%
1 24
48.0%

수거량
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
500ML*4
9 
2KG*1
8 
1.5KG*1
6 
1KG*1
4 
700g*2
 
2
Other values (19)
21 

Length

Max length7
Median length7
Mean length6.24
Min length5

Unique

Unique17 ?
Unique (%)34.0%

Sample

1st row600g*3
2nd row1.4KG*1
3rd row1.6KG*1
4th row160g*10
5th row83g*24

Common Values

ValueCountFrequency (%)
500ML*4 9
18.0%
2KG*1 8
16.0%
1.5KG*1 6
12.0%
1KG*1 4
 
8.0%
700g*2 2
 
4.0%
1.2KG*1 2
 
4.0%
120g*11 2
 
4.0%
400g*3 1
 
2.0%
1.6KG*1 1
 
2.0%
160g*10 1
 
2.0%
Other values (14) 14
28.0%

Length

2024-01-28T21:08:53.108375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
500ml*4 9
18.0%
2kg*1 8
16.0%
1.5kg*1 6
12.0%
1kg*1 4
 
8.0%
700g*2 2
 
4.0%
1.2kg*1 2
 
4.0%
120g*11 2
 
4.0%
490ml*4 1
 
2.0%
3kg*1 1
 
2.0%
500g*3 1
 
2.0%
Other values (14) 14
28.0%

식품유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
농산물
22 
수산물
11 
맥주
10 
어류
5 
기타수산물
 
2

Length

Max length5
Median length3
Mean length2.78
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농산물 22
44.0%
수산물 11
22.0%
맥주 10
20.0%
어류 5
 
10.0%
기타수산물 2
 
4.0%

Length

2024-01-28T21:08:53.206934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:53.303154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농산물 22
44.0%
수산물 11
22.0%
맥주 10
20.0%
어류 5
 
10.0%
기타수산물 2
 
4.0%

국산-수입
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
국산
38 
수입
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국산 38
76.0%
수입 12
 
24.0%

Length

2024-01-28T21:08:53.433099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:53.535434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국산 38
76.0%
수입 12
 
24.0%

검사항목
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
131I, 134CS+137CS
40 
131I, 134CS+137CS, 에탄올, 메탄올
10 

Length

Max length27
Median length17
Mean length19
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row131I, 134CS+137CS
2nd row131I, 134CS+137CS
3rd row131I, 134CS+137CS
4th row131I, 134CS+137CS
5th row131I, 134CS+137CS

Common Values

ValueCountFrequency (%)
131I, 134CS+137CS 40
80.0%
131I, 134CS+137CS, 에탄올, 메탄올 10
 
20.0%

Length

2024-01-28T21:08:53.641995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:53.716664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
131i 50
41.7%
134cs+137cs 50
41.7%
에탄올 10
 
8.3%
메탄올 10
 
8.3%

검사기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
인천광역시보건환경연구원
50 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시보건환경연구원 50
100.0%

Length

2024-01-28T21:08:53.801365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:53.876540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시보건환경연구원 50
100.0%

검사의뢰일자
Date

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2022-04-26 00:00:00
Maximum2022-10-24 00:00:00
2024-01-28T21:08:53.940487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:54.027695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

결과회보일자
Date

Distinct11
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2021-05-31 00:00:00
Maximum2022-11-01 00:00:00
2024-01-28T21:08:54.112048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:54.199836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

검사결과
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
적합
50 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 50
100.0%

Length

2024-01-28T21:08:54.284067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:08:54.359257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 50
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2023-01-12 00:00:00
Maximum2023-01-12 00:00:00
2024-01-28T21:08:54.423673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:54.501121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T21:08:50.425296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:50.013526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:50.212717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:50.488568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:50.079021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:50.279361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:50.563057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:50.151796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:08:50.350620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:08:54.569488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번식품수거일자수거식품명제품규격(정량)단위(정량)수거량(정량)수거량식품유형국산-수입검사항목검사의뢰일자결과회보일자
연번1.0000.8970.8610.6160.8030.6800.8580.9540.9150.9770.8870.867
식품수거일자0.8971.0000.7760.8760.9830.7690.9710.9540.8501.0001.0000.991
수거식품명0.8610.7761.0000.0001.0001.0000.7371.0001.0001.0000.8150.912
제품규격(정량)0.6160.8760.0001.0000.9990.8860.9960.7790.7960.8930.8600.750
단위(정량)0.8030.9831.0000.9991.0000.9661.0000.8190.6171.0000.9890.919
수거량(정량)0.6800.7691.0000.8860.9661.0000.9920.7220.9430.9810.7390.720
수거량0.8580.9710.7370.9961.0000.9921.0000.9730.9861.0000.9660.964
식품유형0.9540.9541.0000.7790.8190.7220.9731.0000.7581.0000.9450.951
국산-수입0.9150.8501.0000.7960.6170.9430.9860.7581.0000.9630.8500.869
검사항목0.9771.0001.0000.8931.0000.9811.0001.0000.9631.0001.0001.000
검사의뢰일자0.8871.0000.8150.8600.9890.7390.9660.9450.8501.0001.0001.000
결과회보일자0.8670.9910.9120.7500.9190.7200.9640.9510.8691.0001.0001.000
2024-01-28T21:08:54.704167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국산-수입검사항목단위(정량)식품유형수거량
국산-수입1.0000.8270.8760.8640.666
검사항목0.8271.0000.9900.9680.736
단위(정량)0.8760.9901.0000.8270.744
식품유형0.8640.9680.8271.0000.673
수거량0.6660.7360.7440.6731.000
2024-01-28T21:08:54.795924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제품규격(정량)수거량(정량)단위(정량)수거량식품유형국산-수입검사항목
연번1.000-0.327-0.5320.6400.4210.6650.6890.793
제품규격(정량)-0.3271.0000.6860.8910.7680.5670.7560.860
수거량(정량)-0.5320.6861.0000.7480.6720.5820.7520.839
단위(정량)0.6400.8910.7481.0000.7440.8270.8760.990
수거량0.4210.7680.6720.7441.0000.6730.6660.736
식품유형0.6650.5670.5820.8270.6731.0000.8640.968
국산-수입0.6890.7560.7520.8760.6660.8641.0000.827
검사항목0.7930.8600.8390.9900.7360.9680.8271.000

Missing values

2024-01-28T21:08:50.661924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:08:50.827321image/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

연번시도군구식품수거일자수거검사명수거식품명제품규격(정량)단위(정량)수거량(정량)수거량식품유형국산-수입검사항목검사기관검사의뢰일자결과회보일자검사결과데이터기준일자
01인천광역시서구2022-04-26방사능검사농어600.0g3600g*3수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-04-262021-05-31적합2023-01-12
12인천광역시서구2022-04-26방사능검사가자미1.4KG11.4KG*1수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-04-262021-05-31적합2023-01-12
23인천광역시서구2022-04-26방사능검사백조기1.6KG11.6KG*1수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-04-262021-06-09적합2023-01-12
34인천광역시서구2022-06-07방사능검사국산고등어160.0g10160g*10수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-06-072022-06-10적합2023-01-12
45인천광역시서구2022-06-07방사능검사국산 참조기83.0g2483g*24수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-06-072022-06-10적합2023-01-12
56인천광역시서구2022-06-07방사능검사국산 삼치350.0g6350g*6수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-06-072022-06-10적합2023-01-12
67인천광역시서구2022-06-07방사능검사생물용 가자미200.0g10200g*10수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-06-072022-06-10적합2023-01-12
78인천광역시서구2022-06-07방사능검사생물 햇오징어120.0g11120g*11수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-06-072022-06-10적합2023-01-12
89인천광역시서구2022-06-07방사능검사제주은갈치200.0g9120g*11수산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-06-072022-06-15적합2023-01-12
910인천광역시서구2022-06-07방사능검사흰다리새우295.0g7295g*7수산물수입131I, 134CS+137CS인천광역시보건환경연구원2022-06-072022-06-10적합2023-01-12
연번시도군구식품수거일자수거검사명수거식품명제품규격(정량)단위(정량)수거량(정량)수거량식품유형국산-수입검사항목검사기관검사의뢰일자결과회보일자검사결과데이터기준일자
4041인천광역시서구2022-09-21방사능검사감자1.2KG11.2KG*1농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-09-212022-09-27적합2023-01-12
4142인천광역시서구2022-09-21방사능검사새송이버섯500.0g3500g*3농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-09-212022-09-27적합2023-01-12
4243인천광역시서구2022-09-21방사능검사당근1.5KG11.5KG*1농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-09-212022-09-27적합2023-01-12
4344인천광역시서구2022-10-24방사능검사양배추3.0KG13KG*1농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-10-242022-11-01적합2023-01-12
4445인천광역시서구2022-10-24방사능검사가지700.0g2700g*2농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-10-242022-11-01적합2023-01-12
4546인천광역시서구2022-10-24방사능검사깐마늘1.0KG11KG*1농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-10-242022-11-01적합2023-01-12
4647인천광역시서구2022-10-24방사능검사비트1.0KG11KG*1농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-10-242022-11-01적합2023-01-12
4748인천광역시서구2022-10-24방사능검사얼갈이1.0KG11KG*1농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-10-242022-11-01적합2023-01-12
4849인천광역시서구2022-10-24방사능검사알배기배추700.0g2700g*2농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-10-242022-11-01적합2023-01-12
4950인천광역시서구2022-10-24방사능검사무1.1KG11.1KG*1농산물국산131I, 134CS+137CS인천광역시보건환경연구원2022-10-242022-11-01적합2023-01-12