Overview

Dataset statistics

Number of variables22
Number of observations408
Missing cells711
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.8 KiB
Average record size in memory180.3 B

Variable types

Numeric2
Text5
Categorical12
DateTime3

Dataset

Description부산광역시 유해물질 수거검사 현황에 대한 데이터로 번호, 식품(시료명), 식품유형, 제조원(소분원), 제조국, 유통기한, 제조일, 국민건강영양조사식품, 시료채취일, 원산지, 시료채취지역, 시료채취장소, 수분함량(퍼센트), 생물_건물, 유해물질, 단위코드, 검출한계, 정량한계, 결과값, 분석장비, 분석기관, 비고 항목정보를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/3075899/fileData.do

Alerts

시료채취지역 has constant value ""Constant
분석장비 has constant value ""Constant
분석기관 has constant value ""Constant
제조국 is highly imbalanced (51.5%)Imbalance
결과값 is highly imbalanced (95.7%)Imbalance
유통기한 has 78 (19.1%) missing valuesMissing
제조일 has 330 (80.9%) missing valuesMissing
수분함량(퍼센트) has 303 (74.3%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:37:46.688445
Analysis finished2024-03-23 05:37:47.678107
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.5
Minimum1
Maximum408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-03-23T14:37:47.833318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.35
Q1102.75
median204.5
Q3306.25
95-th percentile387.65
Maximum408
Range407
Interquartile range (IQR)203.5

Descriptive statistics

Standard deviation117.9237
Coefficient of variation (CV)0.57664403
Kurtosis-1.2
Mean204.5
Median Absolute Deviation (MAD)102
Skewness0
Sum83436
Variance13906
MonotonicityStrictly increasing
2024-03-23T14:37:48.621286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
270 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
Other values (398) 398
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%
403 1
0.2%
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%

식품(시료명)
Text

Distinct129
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-23T14:37:49.316532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length31
Mean length10.257353
Min length1

Characters and Unicode

Total characters4185
Distinct characters289
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row파인애플말랭이
2nd row파인애플말랭이
3rd row파인애플말랭이
4th row헤세드 건망고 슬라이스
5th row헤세드 건망고 슬라이스
ValueCountFrequency (%)
sauce 9
 
1.2%
生 9
 
1.2%
troo 9
 
1.2%
butter 9
 
1.2%
코코아 9
 
1.2%
ginkgo 9
 
1.2%
냉동누드은행(frozen 6
 
0.8%
율무가루 6
 
0.8%
백설 6
 
0.8%
다진마늘 6
 
0.8%
Other values (203) 681
89.7%
2024-03-23T14:37:50.093290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
 
8.5%
A 138
 
3.3%
O 111
 
2.7%
) 102
 
2.4%
( 102
 
2.4%
E 102
 
2.4%
N 93
 
2.2%
R 75
 
1.8%
T 75
 
1.8%
U 69
 
1.6%
Other values (279) 2964
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2364
56.5%
Uppercase Letter 1191
28.5%
Space Separator 354
 
8.5%
Close Punctuation 102
 
2.4%
Open Punctuation 102
 
2.4%
Decimal Number 54
 
1.3%
Connector Punctuation 6
 
0.1%
Other Punctuation 6
 
0.1%
Lowercase Letter 3
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 66
 
2.8%
이 51
 
2.2%
고 48
 
2.0%
유 48
 
2.0%
아 42
 
1.8%
지 42
 
1.8%
리 42
 
1.8%
분 36
 
1.5%
카 30
 
1.3%
드 30
 
1.3%
Other values (241) 1929
81.6%
Uppercase Letter
ValueCountFrequency (%)
A 138
11.6%
O 111
 
9.3%
E 102
 
8.6%
N 93
 
7.8%
R 75
 
6.3%
T 75
 
6.3%
U 69
 
5.8%
S 66
 
5.5%
L 63
 
5.3%
C 63
 
5.3%
Other values (15) 336
28.2%
Decimal Number
ValueCountFrequency (%)
0 18
33.3%
1 15
27.8%
5 9
16.7%
2 6
 
11.1%
7 3
 
5.6%
8 3
 
5.6%
Space Separator
ValueCountFrequency (%)
354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2355
56.3%
Latin 1194
28.5%
Common 627
 
15.0%
Han 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 66
 
2.8%
이 51
 
2.2%
고 48
 
2.0%
유 48
 
2.0%
아 42
 
1.8%
지 42
 
1.8%
리 42
 
1.8%
분 36
 
1.5%
카 30
 
1.3%
드 30
 
1.3%
Other values (240) 1920
81.5%
Latin
ValueCountFrequency (%)
A 138
11.6%
O 111
 
9.3%
E 102
 
8.5%
N 93
 
7.8%
R 75
 
6.3%
T 75
 
6.3%
U 69
 
5.8%
S 66
 
5.5%
L 63
 
5.3%
C 63
 
5.3%
Other values (16) 339
28.4%
Common
ValueCountFrequency (%)
354
56.5%
) 102
 
16.3%
( 102
 
16.3%
0 18
 
2.9%
1 15
 
2.4%
5 9
 
1.4%
_ 6
 
1.0%
2 6
 
1.0%
. 6
 
1.0%
7 3
 
0.5%
Other values (2) 6
 
1.0%
Han
ValueCountFrequency (%)
生 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2352
56.2%
ASCII 1821
43.5%
CJK 9
 
0.2%
Compat Jamo 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
354
19.4%
A 138
 
7.6%
O 111
 
6.1%
) 102
 
5.6%
( 102
 
5.6%
E 102
 
5.6%
N 93
 
5.1%
R 75
 
4.1%
T 75
 
4.1%
U 69
 
3.8%
Other values (28) 600
32.9%
Hangul
ValueCountFrequency (%)
스 66
 
2.8%
이 51
 
2.2%
고 48
 
2.0%
유 48
 
2.0%
아 42
 
1.8%
지 42
 
1.8%
리 42
 
1.8%
분 36
 
1.5%
카 30
 
1.3%
드 30
 
1.3%
Other values (239) 1917
81.5%
CJK
ValueCountFrequency (%)
生 9
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
100.0%

식품유형
Text

Distinct53
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-23T14:37:50.566439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8.5
Mean length3.7794118
Min length1

Characters and Unicode

Total characters1542
Distinct characters93
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

Unique0 ?
Unique (%)0.0%

Sample

1st row파인애플
2nd row파인애플
3rd row파인애플
4th row과채가공품
5th row과채가공품
ValueCountFrequency (%)
과채가공품 30
 
7.0%
엽채류 21
 
4.9%
천연향신료 21
 
4.9%
소스 18
 
4.2%
과자 15
 
3.5%
당절임 15
 
3.5%
아이스밀크 12
 
2.8%
기타가공품 12
 
2.8%
벌꿀 12
 
2.8%
땅콩 9
 
2.1%
Other values (45) 261
61.3%
2024-03-23T14:37:51.360439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 90
 
5.8%
류 78
 
5.1%
가 69
 
4.5%
공 69
 
4.5%
품 66
 
4.3%
채 66
 
4.3%
유 48
 
3.1%
료 42
 
2.7%
스 39
 
2.5%
아 36
 
2.3%
Other values (83) 939
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1521
98.6%
Space Separator 18
 
1.2%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 90
 
5.9%
류 78
 
5.1%
가 69
 
4.5%
공 69
 
4.5%
품 66
 
4.3%
채 66
 
4.3%
유 48
 
3.2%
료 42
 
2.8%
스 39
 
2.6%
아 36
 
2.4%
Other values (81) 918
60.4%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1521
98.6%
Common 21
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 90
 
5.9%
류 78
 
5.1%
가 69
 
4.5%
공 69
 
4.5%
품 66
 
4.3%
채 66
 
4.3%
유 48
 
3.2%
료 42
 
2.8%
스 39
 
2.6%
아 36
 
2.4%
Other values (81) 918
60.4%
Common
ValueCountFrequency (%)
18
85.7%
. 3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1521
98.6%
ASCII 21
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 90
 
5.9%
류 78
 
5.1%
가 69
 
4.5%
공 69
 
4.5%
품 66
 
4.3%
채 66
 
4.3%
유 48
 
3.2%
료 42
 
2.8%
스 39
 
2.6%
아 36
 
2.4%
Other values (81) 918
60.4%
ASCII
ValueCountFrequency (%)
18
85.7%
. 3
 
14.3%

제조원(소분원)
Text

Distinct88
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-23T14:37:51.820259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.1911765
Min length2

Characters and Unicode

Total characters3342
Distinct characters182
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

Unique0 ?
Unique (%)0.0%

Sample

1st row건강한가
2nd row건강한가
3rd row건강한가
4th row주식회사 헤세드글로벌
5th row주식회사 헤세드글로벌
ValueCountFrequency (%)
공급처)농협공판장 42
 
8.9%
주식회사 36
 
7.6%
주)제원인터내쇼날 12
 
2.5%
주)트루나스 12
 
2.5%
씨제이제일제당(주 9
 
1.9%
주)굿넛 9
 
1.9%
주)한솔에프디 9
 
1.9%
해태에이치티비주식회사 9
 
1.9%
열매마을 9
 
1.9%
주)에프엔디 6
 
1.3%
Other values (87) 321
67.7%
2024-03-23T14:37:52.549219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 273
 
8.2%
( 246
 
7.4%
) 246
 
7.4%
공 141
 
4.2%
식 99
 
3.0%
장 93
 
2.8%
사 72
 
2.2%
협 66
 
2.0%
제 66
 
2.0%
회 66
 
2.0%
Other values (172) 1974
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2733
81.8%
Open Punctuation 246
 
7.4%
Close Punctuation 246
 
7.4%
Space Separator 66
 
2.0%
Other Symbol 30
 
0.9%
Other Punctuation 9
 
0.3%
Uppercase Letter 6
 
0.2%
Lowercase Letter 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 273
 
10.0%
공 141
 
5.2%
식 99
 
3.6%
장 93
 
3.4%
사 72
 
2.6%
협 66
 
2.4%
제 66
 
2.4%
회 66
 
2.4%
농 63
 
2.3%
이 63
 
2.3%
Other values (162) 1731
63.3%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
& 3
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
F 3
50.0%
Open Punctuation
ValueCountFrequency (%)
( 246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 246
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
r 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2763
82.7%
Common 570
 
17.1%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 273
 
9.9%
공 141
 
5.1%
식 99
 
3.6%
장 93
 
3.4%
사 72
 
2.6%
협 66
 
2.4%
제 66
 
2.4%
회 66
 
2.4%
농 63
 
2.3%
이 63
 
2.3%
Other values (163) 1761
63.7%
Common
ValueCountFrequency (%)
( 246
43.2%
) 246
43.2%
66
 
11.6%
. 6
 
1.1%
& 3
 
0.5%
2 3
 
0.5%
Latin
ValueCountFrequency (%)
r 3
33.3%
B 3
33.3%
F 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2733
81.8%
ASCII 579
 
17.3%
None 30
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 273
 
10.0%
공 141
 
5.2%
식 99
 
3.6%
장 93
 
3.4%
사 72
 
2.6%
협 66
 
2.4%
제 66
 
2.4%
회 66
 
2.4%
농 63
 
2.3%
이 63
 
2.3%
Other values (162) 1731
63.3%
ASCII
ValueCountFrequency (%)
( 246
42.5%
) 246
42.5%
66
 
11.4%
. 6
 
1.0%
r 3
 
0.5%
B 3
 
0.5%
& 3
 
0.5%
F 3
 
0.5%
2 3
 
0.5%
None
ValueCountFrequency (%)
㈜ 30
100.0%

제조국
Categorical

IMBALANCE 

Distinct21
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
대한민국
279 
중국
 
24
미국
 
18
프랑스
 
12
베트남
 
9
Other values (16)
66 

Length

Max length5
Median length4
Mean length3.5955882
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row베트남
2nd row베트남
3rd row베트남
4th row캄보디아
5th row캄보디아

Common Values

ValueCountFrequency (%)
대한민국 279
68.4%
중국 24
 
5.9%
미국 18
 
4.4%
프랑스 12
 
2.9%
베트남 9
 
2.2%
트루키예 9
 
2.2%
벨기에 9
 
2.2%
말레이지아 6
 
1.5%
대만 6
 
1.5%
아일랜드 3
 
0.7%
Other values (11) 33
 
8.1%

Length

2024-03-23T14:37:52.859529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 279
68.4%
중국 24
 
5.9%
미국 18
 
4.4%
프랑스 12
 
2.9%
베트남 9
 
2.2%
트루키예 9
 
2.2%
벨기에 9
 
2.2%
말레이지아 6
 
1.5%
대만 6
 
1.5%
싱가포르 3
 
0.7%
Other values (11) 33
 
8.1%

유통기한
Date

MISSING 

Distinct97
Distinct (%)29.4%
Missing78
Missing (%)19.1%
Memory size3.3 KiB
Minimum2023-06-01 00:00:00
Maximum2027-08-28 00:00:00
2024-03-23T14:37:53.169812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:53.562182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제조일
Date

MISSING 

Distinct11
Distinct (%)14.1%
Missing330
Missing (%)80.9%
Memory size3.3 KiB
Minimum2023-03-01 00:00:00
Maximum2023-12-04 00:00:00
2024-03-23T14:37:53.817183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:54.033344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

국민건강영양조사식품
Text

Distinct51
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-23T14:37:54.415141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length6.625
Min length1

Characters and Unicode

Total characters2703
Distinct characters123
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row파인애플(건조)
2nd row파인애플(건조)
3rd row파인애플(건조)
4th row망고(건조)
5th row망고(건조)
ValueCountFrequency (%)
포함 30
 
5.8%
전지분유 15
 
2.9%
상추 15
 
2.9%
믹스(제과제빵용 12
 
2.3%
꿀 12
 
2.3%
아이스밀크 12
 
2.3%
양갱 12
 
2.3%
들깻잎 12
 
2.3%
매실(건조포함 12
 
2.3%
은행 12
 
2.3%
Other values (52) 375
72.3%
2024-03-23T14:37:55.030777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 228
 
8.4%
) 228
 
8.4%
111
 
4.1%
조 96
 
3.6%
건 84
 
3.1%
유 81
 
3.0%
스 69
 
2.6%
과 66
 
2.4%
음 63
 
2.3%
제 57
 
2.1%
Other values (113) 1620
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2106
77.9%
Open Punctuation 228
 
8.4%
Close Punctuation 228
 
8.4%
Space Separator 111
 
4.1%
Other Punctuation 30
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 96
 
4.6%
건 84
 
4.0%
유 81
 
3.8%
스 69
 
3.3%
과 66
 
3.1%
음 63
 
3.0%
제 57
 
2.7%
함 54
 
2.6%
포 54
 
2.6%
료 45
 
2.1%
Other values (109) 1437
68.2%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2106
77.9%
Common 597
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 96
 
4.6%
건 84
 
4.0%
유 81
 
3.8%
스 69
 
3.3%
과 66
 
3.1%
음 63
 
3.0%
제 57
 
2.7%
함 54
 
2.6%
포 54
 
2.6%
료 45
 
2.1%
Other values (109) 1437
68.2%
Common
ValueCountFrequency (%)
( 228
38.2%
) 228
38.2%
111
18.6%
, 30
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2106
77.9%
ASCII 597
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 228
38.2%
) 228
38.2%
111
18.6%
, 30
 
5.0%
Hangul
ValueCountFrequency (%)
조 96
 
4.6%
건 84
 
4.0%
유 81
 
3.8%
스 69
 
3.3%
과 66
 
3.1%
음 63
 
3.0%
제 57
 
2.7%
함 54
 
2.6%
포 54
 
2.6%
료 45
 
2.1%
Other values (109) 1437
68.2%

시료채취일
Date

Distinct19
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2023-03-16 00:00:00
Maximum2023-12-06 00:00:00
2024-03-23T14:37:55.278074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:37:55.541363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

원산지
Text

Distinct61
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-03-23T14:37:56.043824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.3088235
Min length3

Characters and Unicode

Total characters2166
Distinct characters68
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수입산
2nd row수입산
3rd row수입산
4th row수입산
5th row수입산
ValueCountFrequency (%)
수입산 129
24.9%
충청남도 36
 
6.9%
경기도 24
 
4.6%
금산군 18
 
3.5%
충청북도 18
 
3.5%
경남김해시 15
 
2.9%
경상남도 15
 
2.9%
천안시 12
 
2.3%
충주시 12
 
2.3%
강원횡성군 9
 
1.7%
Other values (58) 231
44.5%
2024-03-23T14:37:56.803739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 180
 
8.3%
시 180
 
8.3%
수 129
 
6.0%
도 129
 
6.0%
경 129
 
6.0%
129
 
6.0%
입 129
 
6.0%
남 123
 
5.7%
충 99
 
4.6%
군 81
 
3.7%
Other values (58) 858
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2037
94.0%
Space Separator 129
 
6.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 180
 
8.8%
시 180
 
8.8%
수 129
 
6.3%
도 129
 
6.3%
경 129
 
6.3%
입 129
 
6.3%
남 123
 
6.0%
충 99
 
4.9%
군 81
 
4.0%
기 66
 
3.2%
Other values (57) 792
38.9%
Space Separator
ValueCountFrequency (%)
129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2037
94.0%
Common 129
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 180
 
8.8%
시 180
 
8.8%
수 129
 
6.3%
도 129
 
6.3%
경 129
 
6.3%
입 129
 
6.3%
남 123
 
6.0%
충 99
 
4.9%
군 81
 
4.0%
기 66
 
3.2%
Other values (57) 792
38.9%
Common
ValueCountFrequency (%)
129
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2037
94.0%
ASCII 129
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 180
 
8.8%
시 180
 
8.8%
수 129
 
6.3%
도 129
 
6.3%
경 129
 
6.3%
입 129
 
6.3%
남 123
 
6.0%
충 99
 
4.9%
군 81
 
4.0%
기 66
 
3.2%
Other values (57) 792
38.9%
ASCII
ValueCountFrequency (%)
129
100.0%

시료채취지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
부산
408 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산 408
100.0%

Length

2024-03-23T14:37:57.055500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:57.233932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 408
100.0%

시료채취장소
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
대형마트
297 
인터넷
105 
온라인
 
6

Length

Max length4
Median length4
Mean length3.7279412
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대형마트 297
72.8%
인터넷 105
 
25.7%
온라인 6
 
1.5%

Length

2024-03-23T14:37:57.397087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:57.562641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대형마트 297
72.8%
인터넷 105
 
25.7%
온라인 6
 
1.5%

수분함량(퍼센트)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)33.3%
Missing303
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean46.025714
Minimum2.5
Maximum95.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-03-23T14:37:57.792394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.04
Q15.4
median47.9
Q391.8
95-th percentile95.02
Maximum95.4
Range92.9
Interquartile range (IQR)86.4

Descriptive statistics

Standard deviation39.505156
Coefficient of variation (CV)0.85832792
Kurtosis-1.8215232
Mean46.025714
Median Absolute Deviation (MAD)42.6
Skewness0.15778233
Sum4832.7
Variance1560.6573
MonotonicityNot monotonic
2024-03-23T14:37:58.028004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
18.5 3
 
0.7%
11.1 3
 
0.7%
10.9 3
 
0.7%
5.7 3
 
0.7%
94.1 3
 
0.7%
47.9 3
 
0.7%
49.2 3
 
0.7%
48.7 3
 
0.7%
5.1 3
 
0.7%
5.4 3
 
0.7%
Other values (25) 75
 
18.4%
(Missing) 303
74.3%
ValueCountFrequency (%)
2.5 3
0.7%
3.0 3
0.7%
3.2 3
0.7%
3.4 3
0.7%
3.6 3
0.7%
3.8 3
0.7%
5.1 3
0.7%
5.3 3
0.7%
5.4 3
0.7%
5.7 3
0.7%
ValueCountFrequency (%)
95.4 3
0.7%
95.1 3
0.7%
94.7 3
0.7%
94.6 3
0.7%
94.1 3
0.7%
93.6 3
0.7%
93.5 3
0.7%
92.4 3
0.7%
91.8 3
0.7%
91.1 3
0.7%

생물_건물
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
가공
303 
생물
60 
건물
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건물
2nd row건물
3rd row건물
4th row가공
5th row가공

Common Values

ValueCountFrequency (%)
가공 303
74.3%
생물 60
 
14.7%
건물 45
 
11.0%

Length

2024-03-23T14:37:58.284189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:58.501718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가공 303
74.3%
생물 60
 
14.7%
건물 45
 
11.0%

유해물질
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
파튤린
136 
데옥시니발레놀
136 
아플라톡신M1
136 

Length

Max length7
Median length7
Mean length5.6666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row파튤린
2nd row데옥시니발레놀
3rd row아플라톡신M1
4th row파튤린
5th row데옥시니발레놀

Common Values

ValueCountFrequency (%)
파튤린 136
33.3%
데옥시니발레놀 136
33.3%
아플라톡신M1 136
33.3%

Length

2024-03-23T14:37:58.726176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:58.975142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파튤린 136
33.3%
데옥시니발레놀 136
33.3%
아플라톡신m1 136
33.3%

단위코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
ug/kg
272 
mg/kg
136 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowug/kg
2nd rowmg/kg
3rd rowug/kg
4th rowug/kg
5th rowmg/kg

Common Values

ValueCountFrequency (%)
ug/kg 272
66.7%
mg/kg 136
33.3%

Length

2024-03-23T14:37:59.165727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:59.336455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ug/kg 272
66.7%
mg/kg 136
33.3%

검출한계
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
4.379
136 
0.1979
136 
0.008
135 
0.154
 
1

Length

Max length6
Median length5
Mean length5.3333333
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row4.379
2nd row0.154
3rd row0.1979
4th row4.379
5th row0.1979

Common Values

ValueCountFrequency (%)
4.379 136
33.3%
0.1979 136
33.3%
0.008 135
33.1%
0.154 1
 
0.2%

Length

2024-03-23T14:37:59.551776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:37:59.727170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.379 136
33.3%
0.1979 136
33.3%
0.008 135
33.1%
0.154 1
 
0.2%

정량한계
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
13.27
136 
0.5996
136 
0.025
136 

Length

Max length6
Median length5
Mean length5.3333333
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13.27
2nd row0.5996
3rd row0.025
4th row13.27
5th row0.5996

Common Values

ValueCountFrequency (%)
13.27 136
33.3%
0.5996 136
33.3%
0.025 136
33.3%

Length

2024-03-23T14:37:59.965438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:38:00.254205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13.27 136
33.3%
0.5996 136
33.3%
0.025 136
33.3%

결과값
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
불검출
404 
0.073
 
1
0.046
 
1
0.064
 
1
0.044
 
1

Length

Max length5
Median length3
Mean length3.0196078
Min length3

Unique

Unique4 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 404
99.0%
0.073 1
 
0.2%
0.046 1
 
0.2%
0.064 1
 
0.2%
0.044 1
 
0.2%

Length

2024-03-23T14:38:00.496235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:38:00.763198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불검출 404
99.0%
0.073 1
 
0.2%
0.046 1
 
0.2%
0.064 1
 
0.2%
0.044 1
 
0.2%

분석장비
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Waters UPLC
408 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWaters UPLC
2nd rowWaters UPLC
3rd rowWaters UPLC
4th rowWaters UPLC
5th rowWaters UPLC

Common Values

ValueCountFrequency (%)
Waters UPLC 408
100.0%

Length

2024-03-23T14:38:01.032958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:38:01.241395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
waters 408
50.0%
uplc 408
50.0%

분석기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
부산보건환경연구원
408 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산보건환경연구원 408
100.0%

Length

2024-03-23T14:38:01.403972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:38:01.578210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산보건환경연구원 408
100.0%

비고
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2분기
138 
3분기
132 
1분기
69 
4분기
69 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1분기
2nd row1분기
3rd row1분기
4th row1분기
5th row1분기

Common Values

ValueCountFrequency (%)
2분기 138
33.8%
3분기 132
32.4%
1분기 69
16.9%
4분기 69
16.9%

Length

2024-03-23T14:38:01.756562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:38:01.931197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2분기 138
33.8%
3분기 132
32.4%
1분기 69
16.9%
4분기 69
16.9%

Sample

번호식품(시료명)식품유형제조원(소분원)제조국유통기한제조일국민건강영양조사식품시료채취일원산지시료채취지역시료채취장소수분함량(퍼센트)생물_건물유해물질단위코드검출한계정량한계결과값분석장비분석기관비고
01파인애플말랭이파인애플건강한가베트남2023-12-22<NA>파인애플(건조)2023-03-16수입산부산인터넷20.2건물파튤린ug/kg4.37913.27불검출Waters UPLC부산보건환경연구원1분기
12파인애플말랭이파인애플건강한가베트남2023-12-22<NA>파인애플(건조)2023-03-16수입산부산인터넷20.2건물데옥시니발레놀mg/kg0.1540.5996불검출Waters UPLC부산보건환경연구원1분기
23파인애플말랭이파인애플건강한가베트남2023-12-22<NA>파인애플(건조)2023-03-16수입산부산인터넷20.2건물아플라톡신M1ug/kg0.19790.025불검출Waters UPLC부산보건환경연구원1분기
34헤세드 건망고 슬라이스과채가공품주식회사 헤세드글로벌캄보디아2024-07-03<NA>망고(건조)2023-03-16수입산부산인터넷<NA>가공파튤린ug/kg4.37913.27불검출Waters UPLC부산보건환경연구원1분기
45헤세드 건망고 슬라이스과채가공품주식회사 헤세드글로벌캄보디아2024-07-03<NA>망고(건조)2023-03-16수입산부산인터넷<NA>가공데옥시니발레놀mg/kg0.19790.5996불검출Waters UPLC부산보건환경연구원1분기
56헤세드 건망고 슬라이스과채가공품주식회사 헤세드글로벌캄보디아2024-07-03<NA>망고(건조)2023-03-16수입산부산인터넷<NA>가공아플라톡신M1ug/kg0.0080.025불검출Waters UPLC부산보건환경연구원1분기
67망고말랭이망고건강한가베트남2023-11-24<NA>망고(건조)2023-03-16수입산부산인터넷18.5건물파튤린ug/kg4.37913.27불검출Waters UPLC부산보건환경연구원1분기
78망고말랭이망고건강한가베트남2023-11-24<NA>망고(건조)2023-03-16수입산부산인터넷18.5건물데옥시니발레놀mg/kg0.19790.5996불검출Waters UPLC부산보건환경연구원1분기
89망고말랭이망고건강한가베트남2023-11-24<NA>망고(건조)2023-03-16수입산부산인터넷18.5건물아플라톡신M1ug/kg0.0080.025불검출Waters UPLC부산보건환경연구원1분기
910TROO 生 망고그대로과채가공품(주)트루나스대한민국2025-02-21<NA>망고(건조)2023-03-16충청북도 충주시부산인터넷<NA>가공파튤린ug/kg4.37913.27불검출Waters UPLC부산보건환경연구원1분기
번호식품(시료명)식품유형제조원(소분원)제조국유통기한제조일국민건강영양조사식품시료채취일원산지시료채취지역시료채취장소수분함량(퍼센트)생물_건물유해물질단위코드검출한계정량한계결과값분석장비분석기관비고
398399샹.달프 무화과잼 170g(ST. DALFOUR FIG ROYALE)잼예스통상(주)프랑스2026-03-28<NA>무화과잼2023-10-23수입산부산대형마트<NA>가공아플라톡신M1ug/kg0.0080.025불검출Waters UPLC부산보건환경연구원4분기
399400로컬깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23경남김해시부산대형마트85.4생물파튤린ug/kg4.37913.27불검출Waters UPLC부산보건환경연구원4분기
400401로컬깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23경남김해시부산대형마트85.4생물데옥시니발레놀mg/kg0.19790.5996불검출Waters UPLC부산보건환경연구원4분기
401402로컬깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23경남김해시부산대형마트85.4생물아플라톡신M1ug/kg0.0080.025불검출Waters UPLC부산보건환경연구원4분기
402403금산추부GAP깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23충남금산시부산대형마트84.7생물파튤린ug/kg4.37913.27불검출Waters UPLC부산보건환경연구원4분기
403404금산추부GAP깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23충남금산시부산대형마트84.7생물데옥시니발레놀mg/kg0.19790.5996불검출Waters UPLC부산보건환경연구원4분기
404405금산추부GAP깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23충남금산시부산대형마트84.7생물아플라톡신M1ug/kg0.0080.025불검출Waters UPLC부산보건환경연구원4분기
405406오늘도신선깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23경남김해시부산대형마트87.1생물파튤린ug/kg4.37913.27불검출Waters UPLC부산보건환경연구원4분기
406407오늘도신선깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23경남김해시부산대형마트87.1생물데옥시니발레놀mg/kg0.19790.5996불검출Waters UPLC부산보건환경연구원4분기
407408오늘도신선깻잎엽채류(공급처)농협공판장대한민국<NA>2023-10-23들깻잎2023-10-23경남김해시부산대형마트87.1생물아플라톡신M1ug/kg0.0080.025불검출Waters UPLC부산보건환경연구원4분기