Overview

Dataset statistics

Number of variables61
Number of observations8360
Missing cells223636
Missing cells (%)43.9%
Duplicate rows10
Duplicate rows (%)0.1%
Total size in memory4.1 MiB
Average record size in memory517.0 B

Variable types

Categorical19
Numeric11
Unsupported13
Text18

Dataset

Description시군구코드,업종코드,업종명,계획구분코드,계획구분명,지도점검계획,수거계획,수거증번호,수거사유코드,업소명,식품군코드,식품군,품목명,제품명,음식물명,원료명,생산업소,수거일자,수거량(정량),제품규격(정량),단위(정량),수거량(자유),제조일자(일자),제조일자(롯트),유통기한(일자),유통기한(제조일기준),보관상태코드,바코드번호,어린이기호식품유형,검사기관명,(구)제조사명,내외국산,국가명,검사구분,검사의뢰일자,결과회보일자,판정구분,처리구분,수거검사구분코드,단속지역구분코드,수거장소구분코드,처리결과,수거품처리,교부번호,폐기일자,폐기량(kg),폐기금액(원),폐기장소,폐기방법,소재지(도로명),소재지(지번),업소전화번호,점검목적,점검일자,점검구분,점검내용,점검결과코드,(구)제조유통기한,(구)제조회사주소,부적합항목,기준치부적합내용
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-10762/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
Dataset has 10 (0.1%) duplicate rowsDuplicates
업종명 is highly imbalanced (65.4%)Imbalance
계획구분코드 is highly imbalanced (57.9%)Imbalance
지도점검계획 is highly imbalanced (66.5%)Imbalance
수거계획 is highly imbalanced (55.3%)Imbalance
수거사유코드 is highly imbalanced (51.1%)Imbalance
수거량(자유) is highly imbalanced (96.4%)Imbalance
제조일자(롯트) is highly imbalanced (99.3%)Imbalance
어린이기호식품유형 is highly imbalanced (98.2%)Imbalance
검사기관명 is highly imbalanced (68.2%)Imbalance
국가명 is highly imbalanced (88.6%)Imbalance
판정구분 is highly imbalanced (61.4%)Imbalance
계획구분명 has 8360 (100.0%) missing valuesMissing
수거증번호 has 1945 (23.3%) missing valuesMissing
식품군 has 1450 (17.3%) missing valuesMissing
품목명 has 458 (5.5%) missing valuesMissing
음식물명 has 8280 (99.0%) missing valuesMissing
원료명 has 8353 (99.9%) missing valuesMissing
생산업소 has 7923 (94.8%) missing valuesMissing
수거량(정량) has 136 (1.6%) missing valuesMissing
제품규격(정량) has 2081 (24.9%) missing valuesMissing
제조일자(일자) has 7118 (85.1%) missing valuesMissing
유통기한(일자) has 8140 (97.4%) missing valuesMissing
유통기한(제조일기준) has 8311 (99.4%) missing valuesMissing
바코드번호 has 8360 (100.0%) missing valuesMissing
(구)제조사명 has 7548 (90.3%) missing valuesMissing
검사의뢰일자 has 3903 (46.7%) missing valuesMissing
결과회보일자 has 4431 (53.0%) missing valuesMissing
처리구분 has 8360 (100.0%) missing valuesMissing
수거검사구분코드 has 8360 (100.0%) missing valuesMissing
단속지역구분코드 has 8360 (100.0%) missing valuesMissing
수거장소구분코드 has 8360 (100.0%) missing valuesMissing
처리결과 has 8351 (99.9%) missing valuesMissing
수거품처리 has 8360 (100.0%) missing valuesMissing
폐기일자 has 8360 (100.0%) missing valuesMissing
폐기량(kg) has 8360 (100.0%) missing valuesMissing
폐기금액(원) has 8360 (100.0%) missing valuesMissing
폐기장소 has 8360 (100.0%) missing valuesMissing
폐기방법 has 8360 (100.0%) missing valuesMissing
소재지(도로명) has 2037 (24.4%) missing valuesMissing
소재지(지번) has 898 (10.7%) missing valuesMissing
업소전화번호 has 640 (7.7%) missing valuesMissing
점검내용 has 8360 (100.0%) missing valuesMissing
(구)제조유통기한 has 8140 (97.4%) missing valuesMissing
(구)제조회사주소 has 8030 (96.1%) missing valuesMissing
부적합항목 has 8351 (99.9%) missing valuesMissing
기준치부적합내용 has 8351 (99.9%) missing valuesMissing
계획구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
바코드번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
처리구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거검사구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단속지역구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거장소구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거품처리 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기량(kg) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기금액(원) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기장소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기방법 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-04 00:35:36.247931
Analysis finished2024-05-04 00:35:42.436418
Duration6.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
3030000
8360 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 8360
100.0%

Length

2024-05-04T00:35:42.639421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:35:42.946746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 8360
100.0%

업종코드
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.56184
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:35:43.150044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1114
median114
Q3114
95-th percentile114
Maximum134
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.7907529
Coefficient of variation (CV)0.042561074
Kurtosis5.6092948
Mean112.56184
Median Absolute Deviation (MAD)0
Skewness0.03336653
Sum941017
Variance22.951313
MonotonicityDecreasing
2024-05-04T00:35:43.477450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
114 6702
80.2%
101 554
 
6.6%
105 348
 
4.2%
106 261
 
3.1%
104 156
 
1.9%
134 119
 
1.4%
107 91
 
1.1%
112 74
 
0.9%
121 51
 
0.6%
122 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
101 554
 
6.6%
104 156
 
1.9%
105 348
 
4.2%
106 261
 
3.1%
107 91
 
1.1%
109 1
 
< 0.1%
110 1
 
< 0.1%
112 74
 
0.9%
114 6702
80.2%
121 51
 
0.6%
ValueCountFrequency (%)
134 119
 
1.4%
122 2
 
< 0.1%
121 51
 
0.6%
114 6702
80.2%
112 74
 
0.9%
110 1
 
< 0.1%
109 1
 
< 0.1%
107 91
 
1.1%
106 261
 
3.1%
105 348
 
4.2%

업종명
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
기타식품판매업
6702 
일반음식점
 
554
집단급식소
 
348
식품제조가공업
 
261
휴게음식점
 
156
Other values (7)
 
339

Length

Max length11
Median length7
Mean length6.8318182
Min length5

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 6702
80.2%
일반음식점 554
 
6.6%
집단급식소 348
 
4.2%
식품제조가공업 261
 
3.1%
휴게음식점 156
 
1.9%
건강기능식품일반판매업 119
 
1.4%
즉석판매제조가공업 91
 
1.1%
식품자동판매기영업 74
 
0.9%
제과점영업 51
 
0.6%
집단급식소식품판매업 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Length

2024-05-04T00:35:43.959937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 6702
80.2%
일반음식점 554
 
6.6%
집단급식소 348
 
4.2%
식품제조가공업 261
 
3.1%
휴게음식점 156
 
1.9%
건강기능식품일반판매업 119
 
1.4%
즉석판매제조가공업 91
 
1.1%
식품자동판매기영업 74
 
0.9%
제과점영업 51
 
0.6%
집단급식소식품판매업 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

계획구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
6503 
999
1748 
2
 
97
1
 
12

Length

Max length4
Median length4
Mean length3.7517943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6503
77.8%
999 1748
 
20.9%
2 97
 
1.2%
1 12
 
0.1%

Length

2024-05-04T00:35:44.268609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:35:44.567180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6503
77.8%
999 1748
 
20.9%
2 97
 
1.2%
1 12
 
0.1%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

지도점검계획
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
6503 
제조 및 유통식품 안전관리
720 
식품안전관리
 
576
2017년 식품접객업 위생 및 원산지표시제 지도점검(수시)
 
169
식중독 원인조사 현장 위생점검
 
97
Other values (10)
 
295

Length

Max length32
Median length4
Mean length6.1748804
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6503
77.8%
제조 및 유통식품 안전관리 720
 
8.6%
식품안전관리 576
 
6.9%
2017년 식품접객업 위생 및 원산지표시제 지도점검(수시) 169
 
2.0%
식중독 원인조사 현장 위생점검 97
 
1.2%
2021년 식품 안전관리 계획 91
 
1.1%
2024년 식품 안전관리 계획 58
 
0.7%
2016년 위생 및 원산지 표시제 점검(수시) 45
 
0.5%
식품접객업소 등 위생점검 30
 
0.4%
2012 식품접객업소 지도점검 계획 29
 
0.3%
Other values (5) 42
 
0.5%

Length

2024-05-04T00:35:44.957806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6503
51.6%
및 937
 
7.4%
안전관리 890
 
7.1%
제조 723
 
5.7%
유통식품 720
 
5.7%
식품안전관리 576
 
4.6%
위생 228
 
1.8%
계획 199
 
1.6%
원산지표시제 169
 
1.3%
지도점검(수시 169
 
1.3%
Other values (27) 1488
 
11.8%

수거계획
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
6032 
2015년도 위생처리업.위생용품제조업 지도점검 및 수거검가 계획
808 
2018년 성수식품 수거검사
 
363
2020년도 유통식품 수거검사 계획
 
293
2019년도 유통식품 수거검사 계획
 
203
Other values (8)
661 

Length

Max length38
Median length4
Mean length10.189952
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6032
72.2%
2015년도 위생처리업.위생용품제조업 지도점검 및 수거검가 계획 808
 
9.7%
2018년 성수식품 수거검사 363
 
4.3%
2020년도 유통식품 수거검사 계획 293
 
3.5%
2019년도 유통식품 수거검사 계획 203
 
2.4%
조리식품 등 수거 식중독 검사 170
 
2.0%
2021년 식품 안전관리 계획(유통식품 수거검사) 149
 
1.8%
2023년 식품 제조 유통 등 안전관리 계획(유통 가공식품 수거검사) 140
 
1.7%
음식점 원산지표시 이행여부 점검 한우유전자 검사실시 76
 
0.9%
2024년 식품 제조 유통 등 안전관리 계획(유통 가공식품 수거검사) 57
 
0.7%
Other values (3) 69
 
0.8%

Length

2024-05-04T00:35:45.340156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6032
33.3%
계획 1322
 
7.3%
수거검사 1214
 
6.7%
및 859
 
4.7%
위생처리업.위생용품제조업 808
 
4.5%
지도점검 808
 
4.5%
수거검가 808
 
4.5%
2015년도 808
 
4.5%
유통식품 496
 
2.7%
등 367
 
2.0%
Other values (32) 4600
25.4%

수거증번호
Text

MISSING 

Distinct5784
Distinct (%)90.2%
Missing1945
Missing (%)23.3%
Memory size65.4 KiB
2024-05-04T00:35:45.997813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.3100546
Min length1

Characters and Unicode

Total characters46894
Distinct characters46
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

Unique5278 ?
Unique (%)82.3%

Sample

1st row성동 9-1-7
2nd row성동 9-1-5
3rd row성동 9-1-4
4th row02-19-15
5th row02-19-14
ValueCountFrequency (%)
성동 241
 
3.6%
8-19-21 4
 
0.1%
8-19-20 4
 
0.1%
8-19-2 4
 
0.1%
8-19-8 4
 
0.1%
8-19-18 4
 
0.1%
8-19-14 4
 
0.1%
8-19-11 4
 
0.1%
8-19-12 4
 
0.1%
8-19-10 4
 
0.1%
Other values (5742) 6379
95.8%
2024-05-04T00:35:47.037700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 12473
26.6%
1 7933
16.9%
2 5525
11.8%
0 4165
 
8.9%
3 3360
 
7.2%
4 2290
 
4.9%
5 2133
 
4.5%
9 1989
 
4.2%
8 1811
 
3.9%
6 1763
 
3.8%
Other values (36) 3452
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32724
69.8%
Dash Punctuation 12473
 
26.6%
Other Letter 1431
 
3.1%
Space Separator 241
 
0.5%
Open Punctuation 13
 
< 0.1%
Close Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 499
34.9%
동 498
34.8%
식 74
 
5.2%
독 58
 
4.1%
중 58
 
4.1%
사 50
 
3.5%
특 50
 
3.5%
경 50
 
3.5%
품 15
 
1.0%
유 15
 
1.0%
Other values (22) 64
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 7933
24.2%
2 5525
16.9%
0 4165
12.7%
3 3360
10.3%
4 2290
 
7.0%
5 2133
 
6.5%
9 1989
 
6.1%
8 1811
 
5.5%
6 1763
 
5.4%
7 1755
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 12473
100.0%
Space Separator
ValueCountFrequency (%)
241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45463
96.9%
Hangul 1431
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 499
34.9%
동 498
34.8%
식 74
 
5.2%
독 58
 
4.1%
중 58
 
4.1%
사 50
 
3.5%
특 50
 
3.5%
경 50
 
3.5%
품 15
 
1.0%
유 15
 
1.0%
Other values (22) 64
 
4.5%
Common
ValueCountFrequency (%)
- 12473
27.4%
1 7933
17.4%
2 5525
12.2%
0 4165
 
9.2%
3 3360
 
7.4%
4 2290
 
5.0%
5 2133
 
4.7%
9 1989
 
4.4%
8 1811
 
4.0%
6 1763
 
3.9%
Other values (4) 2021
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45463
96.9%
Hangul 1431
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 12473
27.4%
1 7933
17.4%
2 5525
12.2%
0 4165
 
9.2%
3 3360
 
7.4%
4 2290
 
5.0%
5 2133
 
4.7%
9 1989
 
4.4%
8 1811
 
4.0%
6 1763
 
3.9%
Other values (4) 2021
 
4.4%
Hangul
ValueCountFrequency (%)
성 499
34.9%
동 498
34.8%
식 74
 
5.2%
독 58
 
4.1%
중 58
 
4.1%
사 50
 
3.5%
특 50
 
3.5%
경 50
 
3.5%
품 15
 
1.0%
유 15
 
1.0%
Other values (22) 64
 
4.5%

수거사유코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
검사용
5462 
<NA>
2844 
기타
 
53
증거용
 
1

Length

Max length4
Median length3
Mean length3.3338517
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 5462
65.3%
<NA> 2844
34.0%
기타 53
 
0.6%
증거용 1
 
< 0.1%

Length

2024-05-04T00:35:47.619546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:35:48.132354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 5462
65.3%
na 2844
34.0%
기타 53
 
0.6%
증거용 1
 
< 0.1%

업소명
Text

Distinct471
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2024-05-04T00:35:48.949024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length10.180383
Min length1

Characters and Unicode

Total characters85108
Distinct characters457
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)2.6%

Sample

1st rowGNC이마트성수점
2nd row휴럼 이마트 성수점
3rd row휴럼 이마트 성수점
4th row초록마을 왕십리뉴타운점
5th row초록마을 왕십리뉴타운점
ValueCountFrequency (%)
왕십리점 1374
 
12.2%
주)이마트 1363
 
12.1%
주)이마트성수점 1055
 
9.4%
롯데쇼핑(주)롯데마트행당역점 563
 
5.0%
왕십리역점 468
 
4.2%
주)신세계이마트 462
 
4.1%
삼부개발(주 422
 
3.7%
하나로마트행당역점 390
 
3.5%
주)지에스리테일지에스마트성동점 328
 
2.9%
신세계이마트-성수점 317
 
2.8%
Other values (526) 4515
40.1%
2024-05-04T00:35:50.486983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 5597
 
6.6%
마 5560
 
6.5%
점 5421
 
6.4%
주 5100
 
6.0%
( 4868
 
5.7%
) 4868
 
5.7%
이 3638
 
4.3%
2897
 
3.4%
리 2785
 
3.3%
성 2485
 
2.9%
Other values (447) 41889
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71365
83.9%
Open Punctuation 4868
 
5.7%
Close Punctuation 4868
 
5.7%
Space Separator 2897
 
3.4%
Uppercase Letter 595
 
0.7%
Dash Punctuation 353
 
0.4%
Decimal Number 77
 
0.1%
Other Punctuation 45
 
0.1%
Lowercase Letter 40
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 5597
 
7.8%
마 5560
 
7.8%
점 5421
 
7.6%
주 5100
 
7.1%
이 3638
 
5.1%
리 2785
 
3.9%
성 2485
 
3.5%
왕 2163
 
3.0%
십 2151
 
3.0%
수 2108
 
3.0%
Other values (404) 34357
48.1%
Uppercase Letter
ValueCountFrequency (%)
G 238
40.0%
S 206
34.6%
C 51
 
8.6%
N 32
 
5.4%
F 22
 
3.7%
K 16
 
2.7%
B 7
 
1.2%
O 4
 
0.7%
A 3
 
0.5%
E 3
 
0.5%
Other values (6) 13
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 10
25.0%
m 6
15.0%
p 4
 
10.0%
s 4
 
10.0%
e 3
 
7.5%
o 3
 
7.5%
t 2
 
5.0%
i 2
 
5.0%
y 2
 
5.0%
z 2
 
5.0%
Other values (2) 2
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 30
39.0%
3 22
28.6%
5 12
 
15.6%
4 8
 
10.4%
0 3
 
3.9%
9 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
& 35
77.8%
; 4
 
8.9%
' 4
 
8.9%
, 1
 
2.2%
? 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 4868
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4868
100.0%
Space Separator
ValueCountFrequency (%)
2897
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71365
83.9%
Common 13108
 
15.4%
Latin 635
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 5597
 
7.8%
마 5560
 
7.8%
점 5421
 
7.6%
주 5100
 
7.1%
이 3638
 
5.1%
리 2785
 
3.9%
성 2485
 
3.5%
왕 2163
 
3.0%
십 2151
 
3.0%
수 2108
 
3.0%
Other values (404) 34357
48.1%
Latin
ValueCountFrequency (%)
G 238
37.5%
S 206
32.4%
C 51
 
8.0%
N 32
 
5.0%
F 22
 
3.5%
K 16
 
2.5%
a 10
 
1.6%
B 7
 
1.1%
m 6
 
0.9%
p 4
 
0.6%
Other values (18) 43
 
6.8%
Common
ValueCountFrequency (%)
( 4868
37.1%
) 4868
37.1%
2897
22.1%
- 353
 
2.7%
& 35
 
0.3%
2 30
 
0.2%
3 22
 
0.2%
5 12
 
0.1%
4 8
 
0.1%
; 4
 
< 0.1%
Other values (5) 11
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71365
83.9%
ASCII 13743
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 5597
 
7.8%
마 5560
 
7.8%
점 5421
 
7.6%
주 5100
 
7.1%
이 3638
 
5.1%
리 2785
 
3.9%
성 2485
 
3.5%
왕 2163
 
3.0%
십 2151
 
3.0%
수 2108
 
3.0%
Other values (404) 34357
48.1%
ASCII
ValueCountFrequency (%)
( 4868
35.4%
) 4868
35.4%
2897
21.1%
- 353
 
2.6%
G 238
 
1.7%
S 206
 
1.5%
C 51
 
0.4%
& 35
 
0.3%
N 32
 
0.2%
2 30
 
0.2%
Other values (33) 165
 
1.2%

식품군코드
Text

Distinct378
Distinct (%)4.6%
Missing80
Missing (%)1.0%
Memory size65.4 KiB
2024-05-04T00:35:51.324343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length10.971014
Min length9

Characters and Unicode

Total characters90840
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)1.0%

Sample

1st rowE0101400000000
2nd rowE0102000000000
3rd rowE0101400000000
4th rowC0116020000000
5th rowC0116020000000
ValueCountFrequency (%)
c01000000 761
 
9.7%
801000000 416
 
5.3%
g0100000100000 410
 
5.2%
815000000 342
 
4.4%
899000000 274
 
3.5%
818000000 272
 
3.5%
821000000 239
 
3.0%
829000000 219
 
2.8%
802000000 185
 
2.4%
803000000 136
 
1.7%
Other values (367) 4589
58.5%
2024-05-04T00:35:52.975729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60467
66.6%
1 8338
 
9.2%
3933
 
4.3%
8 3840
 
4.2%
2 3781
 
4.2%
C 3320
 
3.7%
3 2373
 
2.6%
9 1248
 
1.4%
5 899
 
1.0%
4 737
 
0.8%
Other values (10) 1904
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82727
91.1%
Uppercase Letter 4180
 
4.6%
Space Separator 3933
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60467
73.1%
1 8338
 
10.1%
8 3840
 
4.6%
2 3781
 
4.6%
3 2373
 
2.9%
9 1248
 
1.5%
5 899
 
1.1%
4 737
 
0.9%
7 590
 
0.7%
6 454
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 3320
79.4%
G 549
 
13.1%
B 187
 
4.5%
E 50
 
1.2%
X 43
 
1.0%
A 16
 
0.4%
Z 6
 
0.1%
F 5
 
0.1%
D 4
 
0.1%
Space Separator
ValueCountFrequency (%)
3933
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86660
95.4%
Latin 4180
 
4.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60467
69.8%
1 8338
 
9.6%
3933
 
4.5%
8 3840
 
4.4%
2 3781
 
4.4%
3 2373
 
2.7%
9 1248
 
1.4%
5 899
 
1.0%
4 737
 
0.9%
7 590
 
0.7%
Latin
ValueCountFrequency (%)
C 3320
79.4%
G 549
 
13.1%
B 187
 
4.5%
E 50
 
1.2%
X 43
 
1.0%
A 16
 
0.4%
Z 6
 
0.1%
F 5
 
0.1%
D 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60467
66.6%
1 8338
 
9.2%
3933
 
4.3%
8 3840
 
4.2%
2 3781
 
4.2%
C 3320
 
3.7%
3 2373
 
2.6%
9 1248
 
1.4%
5 899
 
1.0%
4 737
 
0.8%
Other values (10) 1904
 
2.1%

식품군
Text

MISSING 

Distinct283
Distinct (%)4.1%
Missing1450
Missing (%)17.3%
Memory size65.4 KiB
2024-05-04T00:35:53.892913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length33
Mean length4.9053546
Min length1

Characters and Unicode

Total characters33896
Distinct characters300
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)1.0%

Sample

1st row비타민 C
2nd row셀레늄(또는 셀렌)
3rd row비타민 C
4th row액상차
5th row액상차
ValueCountFrequency (%)
과자류 503
 
5.9%
등 477
 
5.6%
조리식품 410
 
4.8%
면류 390
 
4.6%
조미식품 295
 
3.5%
음료류 295
 
3.5%
축산물가공품 274
 
3.2%
기타식품류 247
 
2.9%
빵또는떡류 185
 
2.2%
캔디류 144
 
1.7%
Other values (303) 5267
62.1%
2024-05-04T00:35:55.590979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 3271
 
9.7%
품 2381
 
7.0%
식 1697
 
5.0%
1577
 
4.7%
가 1273
 
3.8%
공 1055
 
3.1%
조 911
 
2.7%
기 760
 
2.2%
과 719
 
2.1%
자 634
 
1.9%
Other values (290) 19618
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31486
92.9%
Space Separator 1577
 
4.7%
Other Punctuation 414
 
1.2%
Open Punctuation 164
 
0.5%
Close Punctuation 164
 
0.5%
Uppercase Letter 66
 
0.2%
Decimal Number 19
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 3271
 
10.4%
품 2381
 
7.6%
식 1697
 
5.4%
가 1273
 
4.0%
공 1055
 
3.4%
조 911
 
2.9%
기 760
 
2.4%
과 719
 
2.3%
자 634
 
2.0%
리 602
 
1.9%
Other values (268) 18183
57.7%
Uppercase Letter
ValueCountFrequency (%)
A 14
21.2%
D 12
18.2%
B 10
15.2%
C 9
13.6%
E 7
10.6%
H 6
9.1%
P 6
9.1%
L 2
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 7
36.8%
2 6
31.6%
3 3
15.8%
0 1
 
5.3%
5 1
 
5.3%
6 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 201
48.6%
. 180
43.5%
/ 24
 
5.8%
? 9
 
2.2%
Space Separator
ValueCountFrequency (%)
1577
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31486
92.9%
Common 2344
 
6.9%
Latin 66
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 3271
 
10.4%
품 2381
 
7.6%
식 1697
 
5.4%
가 1273
 
4.0%
공 1055
 
3.4%
조 911
 
2.9%
기 760
 
2.4%
과 719
 
2.3%
자 634
 
2.0%
리 602
 
1.9%
Other values (268) 18183
57.7%
Common
ValueCountFrequency (%)
1577
67.3%
, 201
 
8.6%
. 180
 
7.7%
( 164
 
7.0%
) 164
 
7.0%
/ 24
 
1.0%
? 9
 
0.4%
1 7
 
0.3%
- 6
 
0.3%
2 6
 
0.3%
Other values (4) 6
 
0.3%
Latin
ValueCountFrequency (%)
A 14
21.2%
D 12
18.2%
B 10
15.2%
C 9
13.6%
E 7
10.6%
H 6
9.1%
P 6
9.1%
L 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31486
92.9%
ASCII 2410
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 3271
 
10.4%
품 2381
 
7.6%
식 1697
 
5.4%
가 1273
 
4.0%
공 1055
 
3.4%
조 911
 
2.9%
기 760
 
2.4%
과 719
 
2.3%
자 634
 
2.0%
리 602
 
1.9%
Other values (268) 18183
57.7%
ASCII
ValueCountFrequency (%)
1577
65.4%
, 201
 
8.3%
. 180
 
7.5%
( 164
 
6.8%
) 164
 
6.8%
/ 24
 
1.0%
A 14
 
0.6%
D 12
 
0.5%
B 10
 
0.4%
? 9
 
0.4%
Other values (12) 55
 
2.3%

품목명
Text

MISSING 

Distinct435
Distinct (%)5.5%
Missing458
Missing (%)5.5%
Memory size65.4 KiB
2024-05-04T00:35:56.531602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length33
Mean length4.707922
Min length1

Characters and Unicode

Total characters37202
Distinct characters344
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)1.6%

Sample

1st row비타민 C
2nd row셀레늄(또는 셀렌)
3rd row비타민 C
4th row액상차
5th row액상차
ValueCountFrequency (%)
등 492
 
5.2%
조리식품 433
 
4.5%
과자 297
 
3.1%
유탕면류 255
 
2.7%
캔디류 235
 
2.5%
초콜릿가공품 224
 
2.3%
탄산음료 192
 
2.0%
소스류 188
 
2.0%
떡류 168
 
1.8%
소고기 163
 
1.7%
Other values (459) 6894
72.3%
2024-05-04T00:35:58.075941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 2051
 
5.5%
1639
 
4.4%
품 1597
 
4.3%
가 1193
 
3.2%
식 1149
 
3.1%
기 1053
 
2.8%
조 965
 
2.6%
공 890
 
2.4%
과 886
 
2.4%
리 799
 
2.1%
Other values (334) 24980
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33908
91.1%
Space Separator 1639
 
4.4%
Other Punctuation 577
 
1.6%
Open Punctuation 485
 
1.3%
Close Punctuation 485
 
1.3%
Uppercase Letter 77
 
0.2%
Decimal Number 22
 
0.1%
Dash Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 2051
 
6.0%
품 1597
 
4.7%
가 1193
 
3.5%
식 1149
 
3.4%
기 1053
 
3.1%
조 965
 
2.8%
공 890
 
2.6%
과 886
 
2.6%
리 799
 
2.4%
유 748
 
2.2%
Other values (311) 22577
66.6%
Uppercase Letter
ValueCountFrequency (%)
C 16
20.8%
A 14
18.2%
D 13
16.9%
B 12
15.6%
E 7
9.1%
P 6
 
7.8%
H 6
 
7.8%
L 2
 
2.6%
K 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 9
40.9%
2 6
27.3%
3 4
18.2%
0 1
 
4.5%
5 1
 
4.5%
6 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 334
57.9%
, 214
37.1%
/ 20
 
3.5%
? 9
 
1.6%
Space Separator
ValueCountFrequency (%)
1639
100.0%
Open Punctuation
ValueCountFrequency (%)
( 485
100.0%
Close Punctuation
ValueCountFrequency (%)
) 485
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33908
91.1%
Common 3217
 
8.6%
Latin 77
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 2051
 
6.0%
품 1597
 
4.7%
가 1193
 
3.5%
식 1149
 
3.4%
기 1053
 
3.1%
조 965
 
2.8%
공 890
 
2.6%
과 886
 
2.6%
리 799
 
2.4%
유 748
 
2.2%
Other values (311) 22577
66.6%
Common
ValueCountFrequency (%)
1639
50.9%
( 485
 
15.1%
) 485
 
15.1%
. 334
 
10.4%
, 214
 
6.7%
/ 20
 
0.6%
? 9
 
0.3%
1 9
 
0.3%
- 9
 
0.3%
2 6
 
0.2%
Other values (4) 7
 
0.2%
Latin
ValueCountFrequency (%)
C 16
20.8%
A 14
18.2%
D 13
16.9%
B 12
15.6%
E 7
9.1%
P 6
 
7.8%
H 6
 
7.8%
L 2
 
2.6%
K 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33908
91.1%
ASCII 3294
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 2051
 
6.0%
품 1597
 
4.7%
가 1193
 
3.5%
식 1149
 
3.4%
기 1053
 
3.1%
조 965
 
2.8%
공 890
 
2.6%
과 886
 
2.6%
리 799
 
2.4%
유 748
 
2.2%
Other values (311) 22577
66.6%
ASCII
ValueCountFrequency (%)
1639
49.8%
( 485
 
14.7%
) 485
 
14.7%
. 334
 
10.1%
, 214
 
6.5%
/ 20
 
0.6%
C 16
 
0.5%
A 14
 
0.4%
D 13
 
0.4%
B 12
 
0.4%
Other values (13) 62
 
1.9%

제품명
Text

Distinct6373
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2024-05-04T00:35:58.998357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length7.738756
Min length1

Characters and Unicode

Total characters64696
Distinct characters1003
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5434 ?
Unique (%)65.0%

Sample

1st row키즈 츄어블 멀티비타민
2nd row에너지포텐B
3rd row원데이 비타민 C&D
4th row유기농뽕잎차
5th row유기농우엉차
ValueCountFrequency (%)
청정원 110
 
0.8%
오뚜기 102
 
0.8%
백설 86
 
0.6%
이마트 76
 
0.6%
참기름 55
 
0.4%
고소한 54
 
0.4%
부침가루 44
 
0.3%
맛있는 39
 
0.3%
만든 36
 
0.3%
프리미엄 36
 
0.3%
Other values (6931) 12843
95.3%
2024-05-04T00:36:00.352009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5127
 
7.9%
스 1345
 
2.1%
이 1253
 
1.9%
리 1130
 
1.7%
기 823
 
1.3%
한 722
 
1.1%
고 661
 
1.0%
오 651
 
1.0%
가 645
 
1.0%
트 644
 
1.0%
Other values (993) 51695
79.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55267
85.4%
Space Separator 5127
 
7.9%
Uppercase Letter 1438
 
2.2%
Decimal Number 1054
 
1.6%
Lowercase Letter 646
 
1.0%
Close Punctuation 383
 
0.6%
Open Punctuation 382
 
0.6%
Other Punctuation 284
 
0.4%
Dash Punctuation 101
 
0.2%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1345
 
2.4%
이 1253
 
2.3%
리 1130
 
2.0%
기 823
 
1.5%
한 722
 
1.3%
고 661
 
1.2%
오 651
 
1.2%
가 645
 
1.2%
트 644
 
1.2%
우 629
 
1.1%
Other values (914) 46764
84.6%
Uppercase Letter
ValueCountFrequency (%)
I 125
 
8.7%
C 124
 
8.6%
E 121
 
8.4%
A 116
 
8.1%
S 106
 
7.4%
O 97
 
6.7%
N 94
 
6.5%
T 77
 
5.4%
R 73
 
5.1%
L 71
 
4.9%
Other values (16) 434
30.2%
Lowercase Letter
ValueCountFrequency (%)
e 76
 
11.8%
a 75
 
11.6%
i 52
 
8.0%
s 45
 
7.0%
l 39
 
6.0%
r 38
 
5.9%
m 34
 
5.3%
n 32
 
5.0%
t 31
 
4.8%
p 31
 
4.8%
Other values (14) 193
29.9%
Other Punctuation
ValueCountFrequency (%)
% 117
41.2%
, 41
 
14.4%
. 26
 
9.2%
& 23
 
8.1%
？ 18
 
6.3%
; 16
 
5.6%
! 14
 
4.9%
/ 10
 
3.5%
? 10
 
3.5%
' 7
 
2.5%
Decimal Number
ValueCountFrequency (%)
0 327
31.0%
1 252
23.9%
3 149
14.1%
2 114
 
10.8%
5 67
 
6.4%
4 46
 
4.4%
6 36
 
3.4%
9 24
 
2.3%
7 21
 
2.0%
8 18
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 381
99.7%
[ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 11
91.7%
~ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
5127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55253
85.4%
Common 7343
 
11.4%
Latin 2086
 
3.2%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1345
 
2.4%
이 1253
 
2.3%
리 1130
 
2.0%
기 823
 
1.5%
한 722
 
1.3%
고 661
 
1.2%
오 651
 
1.2%
가 645
 
1.2%
트 644
 
1.2%
우 629
 
1.1%
Other values (903) 46750
84.6%
Latin
ValueCountFrequency (%)
I 125
 
6.0%
C 124
 
5.9%
E 121
 
5.8%
A 116
 
5.6%
S 106
 
5.1%
O 97
 
4.7%
N 94
 
4.5%
T 77
 
3.7%
e 76
 
3.6%
a 75
 
3.6%
Other values (41) 1075
51.5%
Common
ValueCountFrequency (%)
5127
69.8%
) 383
 
5.2%
( 381
 
5.2%
0 327
 
4.5%
1 252
 
3.4%
3 149
 
2.0%
% 117
 
1.6%
2 114
 
1.6%
- 101
 
1.4%
5 67
 
0.9%
Other values (18) 325
 
4.4%
Han
ValueCountFrequency (%)
淵 2
14.3%
泉 2
14.3%
茶 2
14.3%
大 1
7.1%
食 1
7.1%
新 1
7.1%
純 1
7.1%
作 1
7.1%
男 1
7.1%
名 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55246
85.4%
ASCII 9409
 
14.5%
None 18
 
< 0.1%
CJK 12
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5127
54.5%
) 383
 
4.1%
( 381
 
4.0%
0 327
 
3.5%
1 252
 
2.7%
3 149
 
1.6%
I 125
 
1.3%
C 124
 
1.3%
E 121
 
1.3%
% 117
 
1.2%
Other values (67) 2303
24.5%
Hangul
ValueCountFrequency (%)
스 1345
 
2.4%
이 1253
 
2.3%
리 1130
 
2.0%
기 823
 
1.5%
한 722
 
1.3%
고 661
 
1.2%
오 651
 
1.2%
가 645
 
1.2%
트 644
 
1.2%
우 629
 
1.1%
Other values (899) 46743
84.6%
None
ValueCountFrequency (%)
？ 18
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 4
57.1%
ㄹ 1
 
14.3%
ㅏ 1
 
14.3%
ㄸ 1
 
14.3%
CJK
ValueCountFrequency (%)
淵 2
16.7%
泉 2
16.7%
大 1
8.3%
食 1
8.3%
新 1
8.3%
純 1
8.3%
作 1
8.3%
男 1
8.3%
名 1
8.3%
家 1
8.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 2
100.0%

음식물명
Text

MISSING 

Distinct42
Distinct (%)52.5%
Missing8280
Missing (%)99.0%
Memory size65.4 KiB
2024-05-04T00:36:01.004220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length3.8375
Min length1

Characters and Unicode

Total characters307
Distinct characters102
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

Unique30 ?
Unique (%)37.5%

Sample

1st row샌드위치
2nd row샌드위치
3rd row쿠키
4th row케익
5th row패스츄리
ValueCountFrequency (%)
커피 10
 
11.2%
햄버거 7
 
7.9%
율무차 7
 
7.9%
조리식품 6
 
6.7%
식품자동판매기 5
 
5.6%
피자 4
 
4.5%
샌드위치 4
 
4.5%
어묵 3
 
3.4%
쿠키 3
 
3.4%
케익 3
 
3.4%
Other values (34) 37
41.6%
2024-05-04T00:36:02.190265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
피 22
 
7.2%
커 14
 
4.6%
식 12
 
3.9%
자 12
 
3.9%
차 11
 
3.6%
품 11
 
3.6%
율 10
 
3.3%
무 10
 
3.3%
거 9
 
2.9%
버 9
 
2.9%
Other values (92) 187
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
97.1%
Space Separator 9
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
피 22
 
7.4%
커 14
 
4.7%
식 12
 
4.0%
자 12
 
4.0%
차 11
 
3.7%
품 11
 
3.7%
율 10
 
3.4%
무 10
 
3.4%
거 9
 
3.0%
버 9
 
3.0%
Other values (91) 178
59.7%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
97.1%
Common 9
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
피 22
 
7.4%
커 14
 
4.7%
식 12
 
4.0%
자 12
 
4.0%
차 11
 
3.7%
품 11
 
3.7%
율 10
 
3.4%
무 10
 
3.4%
거 9
 
3.0%
버 9
 
3.0%
Other values (91) 178
59.7%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
97.1%
ASCII 9
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
피 22
 
7.4%
커 14
 
4.7%
식 12
 
4.0%
자 12
 
4.0%
차 11
 
3.7%
품 11
 
3.7%
율 10
 
3.4%
무 10
 
3.4%
거 9
 
3.0%
버 9
 
3.0%
Other values (91) 178
59.7%
ASCII
ValueCountFrequency (%)
9
100.0%

원료명
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing8353
Missing (%)99.9%
Memory size65.4 KiB
2024-05-04T00:36:02.701654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.1428571
Min length2

Characters and Unicode

Total characters29
Distinct characters24
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

Unique5 ?
Unique (%)71.4%

Sample

1st row먹는샘물
2nd row율무차
3rd row커피
4th row코코아
5th row커피
ValueCountFrequency (%)
커피 2
25.0%
먹는샘물 1
12.5%
율무차 1
12.5%
코코아 1
12.5%
생크림,강력분,침출차 1
12.5%
등 1
12.5%
동태 1
12.5%
2024-05-04T00:36:03.618905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
커 2
 
6.9%
, 2
 
6.9%
차 2
 
6.9%
코 2
 
6.9%
피 2
 
6.9%
동 1
 
3.4%
등 1
 
3.4%
1
 
3.4%
출 1
 
3.4%
침 1
 
3.4%
Other values (14) 14
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26
89.7%
Other Punctuation 2
 
6.9%
Space Separator 1
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
커 2
 
7.7%
차 2
 
7.7%
코 2
 
7.7%
피 2
 
7.7%
동 1
 
3.8%
등 1
 
3.8%
출 1
 
3.8%
침 1
 
3.8%
분 1
 
3.8%
력 1
 
3.8%
Other values (12) 12
46.2%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26
89.7%
Common 3
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
커 2
 
7.7%
차 2
 
7.7%
코 2
 
7.7%
피 2
 
7.7%
동 1
 
3.8%
등 1
 
3.8%
출 1
 
3.8%
침 1
 
3.8%
분 1
 
3.8%
력 1
 
3.8%
Other values (12) 12
46.2%
Common
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26
89.7%
ASCII 3
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
커 2
 
7.7%
차 2
 
7.7%
코 2
 
7.7%
피 2
 
7.7%
동 1
 
3.8%
등 1
 
3.8%
출 1
 
3.8%
침 1
 
3.8%
분 1
 
3.8%
력 1
 
3.8%
Other values (12) 12
46.2%
ASCII
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

생산업소
Text

MISSING 

Distinct160
Distinct (%)36.6%
Missing7923
Missing (%)94.8%
Memory size65.4 KiB
2024-05-04T00:36:04.300668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length7.3661327
Min length3

Characters and Unicode

Total characters3219
Distinct characters253
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)26.5%

Sample

1st row오뚜기라면(주)/경기도 평택시 안중읍 덕우로 405
2nd row오뚜기라면(주)/경기도 평택시 안중읍 덕우로 405
3rd row(주)늘푸른농업회사법인 생산제품(업체명 변경 - 에버헬스케어)
4th row(주)태평소금 - 전남 신안군 증도면 지도증도로 1083-4
5th row(주)태평소금 - 전남 신안군 증도면 지도증도로 1083-4
ValueCountFrequency (%)
이마트성수점 76
 
14.1%
이마트 50
 
9.3%
하나로마트행당역 27
 
5.0%
주식회사 27
 
5.0%
오뚜기 21
 
3.9%
하나로마트행당역점 18
 
3.3%
씨제이제일제당(주 13
 
2.4%
매일유업(주 9
 
1.7%
롯데제과(주 8
 
1.5%
씨제이 6
 
1.1%
Other values (186) 283
52.6%
2024-05-04T00:36:05.361120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 179
 
5.6%
트 177
 
5.5%
주 164
 
5.1%
이 159
 
4.9%
) 137
 
4.3%
( 132
 
4.1%
점 102
 
3.2%
101
 
3.1%
제 96
 
3.0%
식 94
 
2.9%
Other values (243) 1878
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2620
81.4%
Close Punctuation 137
 
4.3%
Open Punctuation 132
 
4.1%
Uppercase Letter 122
 
3.8%
Space Separator 101
 
3.1%
Lowercase Letter 36
 
1.1%
Decimal Number 32
 
1.0%
Other Punctuation 28
 
0.9%
Dash Punctuation 10
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 179
 
6.8%
트 177
 
6.8%
주 164
 
6.3%
이 159
 
6.1%
점 102
 
3.9%
제 96
 
3.7%
식 94
 
3.6%
성 89
 
3.4%
수 80
 
3.1%
당 75
 
2.9%
Other values (201) 1405
53.6%
Uppercase Letter
ValueCountFrequency (%)
E 16
13.1%
L 12
9.8%
F 12
9.8%
P 11
9.0%
I 11
9.0%
N 9
 
7.4%
B 8
 
6.6%
S 8
 
6.6%
O 6
 
4.9%
A 5
 
4.1%
Other values (10) 24
19.7%
Decimal Number
ValueCountFrequency (%)
1 6
18.8%
2 6
18.8%
4 5
15.6%
0 4
12.5%
3 4
12.5%
8 3
9.4%
5 3
9.4%
7 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
; 12
42.9%
& 8
28.6%
. 3
 
10.7%
/ 3
 
10.7%
, 1
 
3.6%
' 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
p 12
33.3%
m 12
33.3%
a 12
33.3%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2620
81.4%
Common 441
 
13.7%
Latin 158
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 179
 
6.8%
트 177
 
6.8%
주 164
 
6.3%
이 159
 
6.1%
점 102
 
3.9%
제 96
 
3.7%
식 94
 
3.6%
성 89
 
3.4%
수 80
 
3.1%
당 75
 
2.9%
Other values (201) 1405
53.6%
Latin
ValueCountFrequency (%)
E 16
 
10.1%
L 12
 
7.6%
p 12
 
7.6%
m 12
 
7.6%
a 12
 
7.6%
F 12
 
7.6%
P 11
 
7.0%
I 11
 
7.0%
N 9
 
5.7%
B 8
 
5.1%
Other values (13) 43
27.2%
Common
ValueCountFrequency (%)
) 137
31.1%
( 132
29.9%
101
22.9%
; 12
 
2.7%
- 10
 
2.3%
& 8
 
1.8%
1 6
 
1.4%
2 6
 
1.4%
4 5
 
1.1%
0 4
 
0.9%
Other values (9) 20
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2620
81.4%
ASCII 599
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 179
 
6.8%
트 177
 
6.8%
주 164
 
6.3%
이 159
 
6.1%
점 102
 
3.9%
제 96
 
3.7%
식 94
 
3.6%
성 89
 
3.4%
수 80
 
3.1%
당 75
 
2.9%
Other values (201) 1405
53.6%
ASCII
ValueCountFrequency (%)
) 137
22.9%
( 132
22.0%
101
16.9%
E 16
 
2.7%
L 12
 
2.0%
; 12
 
2.0%
p 12
 
2.0%
m 12
 
2.0%
a 12
 
2.0%
F 12
 
2.0%
Other values (32) 141
23.5%

수거일자
Real number (ℝ)

Distinct406
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20142229
Minimum20020312
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:06.140666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020312
5-th percentile20080618
Q120110323
median20150276
Q320171114
95-th percentile20211027
Maximum20240312
Range220000
Interquartile range (IQR)60791

Descriptive statistics

Standard deviation41821.273
Coefficient of variation (CV)0.0020762982
Kurtosis-0.77781285
Mean20142229
Median Absolute Deviation (MAD)30554
Skewness0.24417488
Sum1.6838903 × 1011
Variance1.7490189 × 109
MonotonicityNot monotonic
2024-05-04T00:36:06.558996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150326 141
 
1.7%
20081120 138
 
1.7%
20130625 124
 
1.5%
20111006 104
 
1.2%
20080618 100
 
1.2%
20180830 98
 
1.2%
20180313 95
 
1.1%
20080422 91
 
1.1%
20090625 91
 
1.1%
20210518 91
 
1.1%
Other values (396) 7287
87.2%
ValueCountFrequency (%)
20020312 1
 
< 0.1%
20070514 4
 
< 0.1%
20070614 1
 
< 0.1%
20070615 1
 
< 0.1%
20070730 5
0.1%
20070731 2
 
< 0.1%
20070808 10
0.1%
20070831 2
 
< 0.1%
20070910 8
0.1%
20070917 6
0.1%
ValueCountFrequency (%)
20240312 20
 
0.2%
20240304 1
 
< 0.1%
20240227 1
 
< 0.1%
20240226 3
 
< 0.1%
20240219 22
 
0.3%
20240119 58
0.7%
20240117 22
 
0.3%
20231204 15
 
0.2%
20231128 5
 
0.1%
20231121 24
0.3%

수거량(정량)
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)2.9%
Missing136
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean111.01848
Minimum0
Maximum18000
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:06.959642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q36
95-th percentile800
Maximum18000
Range18000
Interquartile range (IQR)5

Descriptive statistics

Standard deviation403.05569
Coefficient of variation (CV)3.6305278
Kurtosis583.1102
Mean111.01848
Median Absolute Deviation (MAD)2
Skewness16.589852
Sum913016
Variance162453.89
MonotonicityNot monotonic
2024-05-04T00:36:07.400600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 2551
30.5%
2.0 1453
17.4%
3.0 1182
14.1%
6.0 856
 
10.2%
4.0 397
 
4.7%
5.0 296
 
3.5%
600.0 161
 
1.9%
7.0 115
 
1.4%
8.0 75
 
0.9%
10.0 53
 
0.6%
Other values (226) 1085
13.0%
(Missing) 136
 
1.6%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
1.0 2551
30.5%
1.4 1
 
< 0.1%
1.5 4
 
< 0.1%
1.6 1
 
< 0.1%
2.0 1453
17.4%
3.0 1182
14.1%
4.0 397
 
4.7%
5.0 296
 
3.5%
6.0 856
 
10.2%
ValueCountFrequency (%)
18000.0 1
 
< 0.1%
11368.0 1
 
< 0.1%
8824.0 1
 
< 0.1%
6000.0 1
 
< 0.1%
4200.0 1
 
< 0.1%
3000.0 7
0.1%
2500.0 1
 
< 0.1%
2400.0 1
 
< 0.1%
2148.0 1
 
< 0.1%
2100.0 6
0.1%

제품규격(정량)
Text

MISSING 

Distinct462
Distinct (%)7.4%
Missing2081
Missing (%)24.9%
Memory size65.4 KiB
2024-05-04T00:36:08.400411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.6370441
Min length1

Characters and Unicode

Total characters16558
Distinct characters26
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)2.8%

Sample

1st row72
2nd row42
3rd row200
4th row500
5th row500
ValueCountFrequency (%)
g 526
 
8.4%
1 465
 
7.4%
500 403
 
6.4%
100 354
 
5.6%
300 313
 
5.0%
600 276
 
4.4%
200 255
 
4.1%
400 208
 
3.3%
900 169
 
2.7%
ml 153
 
2.4%
Other values (451) 3157
50.3%
2024-05-04T00:36:09.963496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6433
38.9%
1 2028
 
12.2%
5 1647
 
9.9%
2 1333
 
8.1%
3 1094
 
6.6%
4 774
 
4.7%
6 710
 
4.3%
g 571
 
3.4%
8 507
 
3.1%
7 442
 
2.7%
Other values (16) 1019
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15402
93.0%
Lowercase Letter 835
 
5.0%
Other Punctuation 208
 
1.3%
Uppercase Letter 62
 
0.4%
Other Letter 30
 
0.2%
Other Symbol 21
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6433
41.8%
1 2028
 
13.2%
5 1647
 
10.7%
2 1333
 
8.7%
3 1094
 
7.1%
4 774
 
5.0%
6 710
 
4.6%
8 507
 
3.3%
7 442
 
2.9%
9 434
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
g 571
68.4%
l 125
 
15.0%
m 122
 
14.6%
k 13
 
1.6%
e 2
 
0.2%
a 2
 
0.2%
Other Letter
ValueCountFrequency (%)
개 16
53.3%
판 6
 
20.0%
리 3
 
10.0%
터 3
 
10.0%
모 2
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 204
98.1%
, 4
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
M 31
50.0%
L 31
50.0%
Other Symbol
ValueCountFrequency (%)
㎖ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15631
94.4%
Latin 897
 
5.4%
Hangul 30
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6433
41.2%
1 2028
 
13.0%
5 1647
 
10.5%
2 1333
 
8.5%
3 1094
 
7.0%
4 774
 
5.0%
6 710
 
4.5%
8 507
 
3.2%
7 442
 
2.8%
9 434
 
2.8%
Other values (3) 229
 
1.5%
Latin
ValueCountFrequency (%)
g 571
63.7%
l 125
 
13.9%
m 122
 
13.6%
M 31
 
3.5%
L 31
 
3.5%
k 13
 
1.4%
e 2
 
0.2%
a 2
 
0.2%
Hangul
ValueCountFrequency (%)
개 16
53.3%
판 6
 
20.0%
리 3
 
10.0%
터 3
 
10.0%
모 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16507
99.7%
Hangul 30
 
0.2%
CJK Compat 21
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6433
39.0%
1 2028
 
12.3%
5 1647
 
10.0%
2 1333
 
8.1%
3 1094
 
6.6%
4 774
 
4.7%
6 710
 
4.3%
g 571
 
3.5%
8 507
 
3.1%
7 442
 
2.7%
Other values (10) 968
 
5.9%
CJK Compat
ValueCountFrequency (%)
㎖ 21
100.0%
Hangul
ValueCountFrequency (%)
개 16
53.3%
판 6
 
20.0%
리 3
 
10.0%
터 3
 
10.0%
모 2
 
6.7%

단위(정량)
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
g
3705 
<NA>
2978 
ML
1007 
KG
472 
LT
 
198

Length

Max length4
Median length2
Mean length2.2692584
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
g 3705
44.3%
<NA> 2978
35.6%
ML 1007
 
12.0%
KG 472
 
5.6%
LT 198
 
2.4%

Length

2024-05-04T00:36:10.403100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:10.752792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 3705
44.3%
na 2978
35.6%
ml 1007
 
12.0%
kg 472
 
5.6%
lt 198
 
2.4%

수거량(자유)
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
8224 
swab
 
80
2개
 
8
600g 이상
 
6
3개
 
6
Other values (18)
 
36

Length

Max length21
Median length4
Mean length4.0027512
Min length2

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8224
98.4%
swab 80
 
1.0%
2개 8
 
0.1%
600g 이상 6
 
0.1%
3개 6
 
0.1%
600g 5
 
0.1%
1개 4
 
< 0.1%
swap 4
 
< 0.1%
3줄 4
 
< 0.1%
3팩 3
 
< 0.1%
Other values (13) 16
 
0.2%

Length

2024-05-04T00:36:11.188153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8224
98.2%
swab 82
 
1.0%
600g 14
 
0.2%
3개 10
 
0.1%
2개 8
 
0.1%
이상 8
 
0.1%
swap 4
 
< 0.1%
3줄 4
 
< 0.1%
1개 4
 
< 0.1%
3팩 3
 
< 0.1%
Other values (14) 17
 
0.2%

제조일자(일자)
Real number (ℝ)

MISSING 

Distinct400
Distinct (%)32.2%
Missing7118
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean20173551
Minimum20100507
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:11.770793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100507
5-th percentile20130513
Q120160527
median20170712
Q320190821
95-th percentile20240112
Maximum20240312
Range139805
Interquartile range (IQR)30294

Descriptive statistics

Standard deviation28706.574
Coefficient of variation (CV)0.0014229808
Kurtosis0.26753792
Mean20173551
Median Absolute Deviation (MAD)19410.5
Skewness0.60430212
Sum2.505555 × 1010
Variance8.240674 × 108
MonotonicityNot monotonic
2024-05-04T00:36:12.210978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161212 35
 
0.4%
20151216 34
 
0.4%
20190822 32
 
0.4%
20170814 31
 
0.4%
20180313 31
 
0.4%
20190821 30
 
0.4%
20170714 27
 
0.3%
20151015 24
 
0.3%
20160826 24
 
0.3%
20160816 23
 
0.3%
Other values (390) 951
 
11.4%
(Missing) 7118
85.1%
ValueCountFrequency (%)
20100507 1
 
< 0.1%
20110914 1
 
< 0.1%
20110920 1
 
< 0.1%
20111201 1
 
< 0.1%
20120218 1
 
< 0.1%
20120223 3
< 0.1%
20120224 1
 
< 0.1%
20120227 1
 
< 0.1%
20120307 1
 
< 0.1%
20120331 1
 
< 0.1%
ValueCountFrequency (%)
20240312 1
 
< 0.1%
20240227 1
 
< 0.1%
20240226 3
 
< 0.1%
20240219 1
 
< 0.1%
20240119 9
0.1%
20240118 11
0.1%
20240117 12
0.1%
20240116 10
0.1%
20240115 9
0.1%
20240112 10
0.1%

제조일자(롯트)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
8353 
.
 
4
농산물
 
3

Length

Max length4
Median length4
Mean length3.9982057
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8353
99.9%
. 4
 
< 0.1%
농산물 3
 
< 0.1%

Length

2024-05-04T00:36:12.488446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:12.717863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8353
99.9%
4
 
< 0.1%
농산물 3
 
< 0.1%

유통기한(일자)
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)59.5%
Missing8140
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean20120817
Minimum20111018
Maximum20150711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:13.055248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111018
5-th percentile20111024
Q120111124
median20120612
Q320130202
95-th percentile20131114
Maximum20150711
Range39693
Interquartile range (IQR)19078.25

Descriptive statistics

Standard deviation8808.3245
Coefficient of variation (CV)0.00043777172
Kurtosis-0.11353056
Mean20120817
Median Absolute Deviation (MAD)9487.5
Skewness0.59048912
Sum4.4265797 × 109
Variance77586581
MonotonicityNot monotonic
2024-05-04T00:36:13.456385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111124 17
 
0.2%
20111110 11
 
0.1%
20111024 9
 
0.1%
20130911 7
 
0.1%
20120305 7
 
0.1%
20130913 6
 
0.1%
20111212 4
 
< 0.1%
20111018 4
 
< 0.1%
20130222 3
 
< 0.1%
20130718 3
 
< 0.1%
Other values (121) 149
 
1.8%
(Missing) 8140
97.4%
ValueCountFrequency (%)
20111018 4
< 0.1%
20111024 9
0.1%
20111025 1
 
< 0.1%
20111026 1
 
< 0.1%
20111028 1
 
< 0.1%
20111031 1
 
< 0.1%
20111101 1
 
< 0.1%
20111104 2
 
< 0.1%
20111106 3
 
< 0.1%
20111107 1
 
< 0.1%
ValueCountFrequency (%)
20150711 1
< 0.1%
20150314 1
< 0.1%
20140803 1
< 0.1%
20140308 1
< 0.1%
20140301 1
< 0.1%
20140222 2
< 0.1%
20140217 1
< 0.1%
20140101 1
< 0.1%
20131218 1
< 0.1%
20131122 1
< 0.1%

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)57.1%
Missing8311
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean6592992.9
Minimum1
Maximum20230116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:13.785660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median365
Q320181222
95-th percentile20200239
Maximum20230116
Range20230115
Interquartile range (IQR)20181214

Descriptive statistics

Standard deviation9565777.6
Coefficient of variation (CV)1.4509006
Kurtosis-1.4793403
Mean6592992.9
Median Absolute Deviation (MAD)364
Skewness0.76340544
Sum3.2305665 × 108
Variance9.1504102 × 1013
MonotonicityNot monotonic
2024-05-04T00:36:14.226349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
365 10
 
0.1%
1 7
 
0.1%
30 3
 
< 0.1%
1825 3
 
< 0.1%
90 2
 
< 0.1%
4 2
 
< 0.1%
360 1
 
< 0.1%
20190416 1
 
< 0.1%
8 1
 
< 0.1%
3 1
 
< 0.1%
Other values (18) 18
 
0.2%
(Missing) 8311
99.4%
ValueCountFrequency (%)
1 7
0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
30 3
 
< 0.1%
90 2
 
< 0.1%
360 1
 
< 0.1%
365 10
0.1%
ValueCountFrequency (%)
20230116 1
< 0.1%
20221228 1
< 0.1%
20200321 1
< 0.1%
20200117 1
< 0.1%
20191213 1
< 0.1%
20190425 1
< 0.1%
20190416 1
< 0.1%
20190312 1
< 0.1%
20190228 1
< 0.1%
20190131 1
< 0.1%

보관상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
실온
4728 
<NA>
2844 
냉장
593 
냉동
 
172
기타
 
23

Length

Max length4
Median length2
Mean length2.6803828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 4728
56.6%
<NA> 2844
34.0%
냉장 593
 
7.1%
냉동 172
 
2.1%
기타 23
 
0.3%

Length

2024-05-04T00:36:14.697152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:15.045379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 4728
56.6%
na 2844
34.0%
냉장 593
 
7.1%
냉동 172
 
2.1%
기타 23
 
0.3%

바코드번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

어린이기호식품유형
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
8321 
캔디류
 
9
빵류
 
9
초콜릿류
 
7
혼합음료
 
4
Other values (3)
 
10

Length

Max length9
Median length4
Mean length4.0013158
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8321
99.5%
캔디류 9
 
0.1%
빵류 9
 
0.1%
초콜릿류 7
 
0.1%
혼합음료 4
 
< 0.1%
유탕면류(용기면) 4
 
< 0.1%
어육소시지 3
 
< 0.1%
과자(한과류제외) 3
 
< 0.1%

Length

2024-05-04T00:36:15.373714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:15.763837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8321
99.5%
캔디류 9
 
0.1%
빵류 9
 
0.1%
초콜릿류 7
 
0.1%
혼합음료 4
 
< 0.1%
유탕면류(용기면 4
 
< 0.1%
어육소시지 3
 
< 0.1%
과자(한과류제외 3
 
< 0.1%

검사기관명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
001
6373 
<NA>
1958 
000
 
16
073
 
11
085
 
1

Length

Max length7
Median length3
Mean length3.234689
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row001
2nd row001
3rd row001
4th row001
5th row001

Common Values

ValueCountFrequency (%)
001 6373
76.2%
<NA> 1958
 
23.4%
000 16
 
0.2%
073 11
 
0.1%
085 1
 
< 0.1%
보건환경연구원 1
 
< 0.1%

Length

2024-05-04T00:36:16.250321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:16.708499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
001 6373
76.2%
na 1958
 
23.4%
000 16
 
0.2%
073 11
 
0.1%
085 1
 
< 0.1%
보건환경연구원 1
 
< 0.1%

(구)제조사명
Text

MISSING 

Distinct391
Distinct (%)48.2%
Missing7548
Missing (%)90.3%
Memory size65.4 KiB
2024-05-04T00:36:17.283147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length7.7561576
Min length2

Characters and Unicode

Total characters6298
Distinct characters346
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)31.7%

Sample

1st row인성제약(주)
2nd row(주)코쿠엔스
3rd row미국GNC
4th row(주)HC바이오텍
5th row설악마을
ValueCountFrequency (%)
씨제이제일제당(주 28
 
3.0%
대상(주 23
 
2.4%
롯데칠성음료(주 23
 
2.4%
주식회사 20
 
2.1%
주)미단식품 17
 
1.8%
농심 15
 
1.6%
오뚜기 13
 
1.4%
코카콜라음료(주 12
 
1.3%
오뚜기라면주식회사 12
 
1.3%
주)삼립식품 11
 
1.2%
Other values (444) 772
81.6%
2024-05-04T00:36:18.519099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 536
 
8.5%
) 488
 
7.7%
( 487
 
7.7%
식 250
 
4.0%
품 196
 
3.1%
제 195
 
3.1%
134
 
2.1%
사 106
 
1.7%
이 97
 
1.5%
일 75
 
1.2%
Other values (336) 3734
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4362
69.3%
Close Punctuation 488
 
7.7%
Open Punctuation 487
 
7.7%
Uppercase Letter 436
 
6.9%
Lowercase Letter 304
 
4.8%
Space Separator 134
 
2.1%
Other Punctuation 42
 
0.7%
Other Symbol 20
 
0.3%
Decimal Number 20
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 536
 
12.3%
식 250
 
5.7%
품 196
 
4.5%
제 195
 
4.5%
사 106
 
2.4%
이 97
 
2.2%
일 75
 
1.7%
오 71
 
1.6%
농 68
 
1.6%
씨 66
 
1.5%
Other values (274) 2702
61.9%
Uppercase Letter
ValueCountFrequency (%)
N 43
 
9.9%
I 41
 
9.4%
O 40
 
9.2%
A 33
 
7.6%
S 33
 
7.6%
F 31
 
7.1%
D 27
 
6.2%
T 25
 
5.7%
C 23
 
5.3%
P 21
 
4.8%
Other values (13) 119
27.3%
Lowercase Letter
ValueCountFrequency (%)
a 37
12.2%
o 36
11.8%
i 31
10.2%
r 29
9.5%
e 28
9.2%
t 17
 
5.6%
c 17
 
5.6%
s 16
 
5.3%
d 15
 
4.9%
n 14
 
4.6%
Other values (11) 64
21.1%
Other Punctuation
ValueCountFrequency (%)
. 23
54.8%
, 9
 
21.4%
' 3
 
7.1%
/ 2
 
4.8%
& 2
 
4.8%
; 2
 
4.8%
: 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 10
50.0%
9 3
 
15.0%
6 2
 
10.0%
4 2
 
10.0%
2 2
 
10.0%
5 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 488
100.0%
Open Punctuation
ValueCountFrequency (%)
( 487
100.0%
Space Separator
ValueCountFrequency (%)
134
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4382
69.6%
Common 1176
 
18.7%
Latin 740
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 536
 
12.2%
식 250
 
5.7%
품 196
 
4.5%
제 195
 
4.5%
사 106
 
2.4%
이 97
 
2.2%
일 75
 
1.7%
오 71
 
1.6%
농 68
 
1.6%
씨 66
 
1.5%
Other values (275) 2722
62.1%
Latin
ValueCountFrequency (%)
N 43
 
5.8%
I 41
 
5.5%
O 40
 
5.4%
a 37
 
5.0%
o 36
 
4.9%
A 33
 
4.5%
S 33
 
4.5%
i 31
 
4.2%
F 31
 
4.2%
r 29
 
3.9%
Other values (34) 386
52.2%
Common
ValueCountFrequency (%)
) 488
41.5%
( 487
41.4%
134
 
11.4%
. 23
 
2.0%
1 10
 
0.9%
, 9
 
0.8%
- 5
 
0.4%
9 3
 
0.3%
' 3
 
0.3%
/ 2
 
0.2%
Other values (7) 12
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4362
69.3%
ASCII 1916
30.4%
None 20
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 536
 
12.3%
식 250
 
5.7%
품 196
 
4.5%
제 195
 
4.5%
사 106
 
2.4%
이 97
 
2.2%
일 75
 
1.7%
오 71
 
1.6%
농 68
 
1.6%
씨 66
 
1.5%
Other values (274) 2702
61.9%
ASCII
ValueCountFrequency (%)
) 488
25.5%
( 487
25.4%
134
 
7.0%
N 43
 
2.2%
I 41
 
2.1%
O 40
 
2.1%
a 37
 
1.9%
o 36
 
1.9%
A 33
 
1.7%
S 33
 
1.7%
Other values (51) 544
28.4%
None
ValueCountFrequency (%)
㈜ 20
100.0%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
국내
5884 
국외
2476 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 5884
70.4%
국외 2476
29.6%

Length

2024-05-04T00:36:18.915790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:19.255641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 5884
70.4%
국외 2476
29.6%

국가명
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
7829 
중국
 
94
미국
 
91
이탈리아
 
44
일본
 
35
Other values (35)
 
267

Length

Max length6
Median length4
Mean length3.9240431
Min length2

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7829
93.6%
중국 94
 
1.1%
미국 91
 
1.1%
이탈리아 44
 
0.5%
일본 35
 
0.4%
독일 34
 
0.4%
벨기에 33
 
0.4%
스페인 22
 
0.3%
말레이지아 20
 
0.2%
인도네시아 16
 
0.2%
Other values (30) 142
 
1.7%

Length

2024-05-04T00:36:19.677630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7829
93.5%
중국 98
 
1.2%
미국 91
 
1.1%
이탈리아 44
 
0.5%
일본 35
 
0.4%
독일 34
 
0.4%
벨기에 33
 
0.4%
스페인 22
 
0.3%
말레이지아 20
 
0.2%
인도네시아 16
 
0.2%
Other values (31) 147
 
1.8%

검사구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
1
3524 
<NA>
2935 
2
1901 

Length

Max length4
Median length1
Mean length2.0532297
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3524
42.2%
<NA> 2935
35.1%
2 1901
22.7%

Length

2024-05-04T00:36:20.222662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:20.568507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3524
42.2%
na 2935
35.1%
2 1901
22.7%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct203
Distinct (%)4.6%
Missing3903
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean20160464
Minimum20110111
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:21.106426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110111
5-th percentile20110519
Q120130403
median20161111
Q320180831
95-th percentile20230905
Maximum20240312
Range130201
Interquartile range (IQR)50428

Descriptive statistics

Standard deviation36347.347
Coefficient of variation (CV)0.0018029023
Kurtosis-0.7218123
Mean20160464
Median Absolute Deviation (MAD)30110
Skewness0.25169426
Sum8.9855189 × 1010
Variance1.3211296 × 109
MonotonicityNot monotonic
2024-05-04T00:36:21.802032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130625 124
 
1.5%
20111006 104
 
1.2%
20180831 98
 
1.2%
20210518 91
 
1.1%
20130903 86
 
1.0%
20110929 82
 
1.0%
20131001 78
 
0.9%
20211105 77
 
0.9%
20180313 65
 
0.8%
20110922 65
 
0.8%
Other values (193) 3587
42.9%
(Missing) 3903
46.7%
ValueCountFrequency (%)
20110111 7
 
0.1%
20110113 38
0.5%
20110315 51
0.6%
20110323 31
0.4%
20110428 44
0.5%
20110512 40
0.5%
20110517 4
 
< 0.1%
20110518 5
 
0.1%
20110519 6
 
0.1%
20110523 6
 
0.1%
ValueCountFrequency (%)
20240312 20
 
0.2%
20240304 1
 
< 0.1%
20240227 1
 
< 0.1%
20240226 3
 
< 0.1%
20240219 22
 
0.3%
20240119 58
0.7%
20240117 22
 
0.3%
20231204 15
 
0.2%
20231128 5
 
0.1%
20231121 24
0.3%

결과회보일자
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)6.2%
Missing4431
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean20155794
Minimum20110121
Maximum20220127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:22.256841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110121
5-th percentile20110531
Q120130501
median20161005
Q320180524
95-th percentile20210602
Maximum20220127
Range110006
Interquartile range (IQR)50023

Descriptive statistics

Standard deviation30109.711
Coefficient of variation (CV)0.0014938489
Kurtosis-1.1190501
Mean20155794
Median Absolute Deviation (MAD)20219
Skewness-0.12428323
Sum7.9192114 × 1010
Variance9.0659471 × 108
MonotonicityNot monotonic
2024-05-04T00:36:22.737332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130709 95
 
1.1%
20131016 72
 
0.9%
20180621 66
 
0.8%
20170731 62
 
0.7%
20171220 59
 
0.7%
20111012 57
 
0.7%
20180323 55
 
0.7%
20130911 53
 
0.6%
20111021 53
 
0.6%
20160222 51
 
0.6%
Other values (232) 3306
39.5%
(Missing) 4431
53.0%
ValueCountFrequency (%)
20110121 1
 
< 0.1%
20110125 13
 
0.2%
20110126 1
 
< 0.1%
20110127 28
0.3%
20110324 1
 
< 0.1%
20110328 8
 
0.1%
20110330 42
0.5%
20110406 30
0.4%
20110509 1
 
< 0.1%
20110516 23
0.3%
ValueCountFrequency (%)
20220127 5
 
0.1%
20220126 3
 
< 0.1%
20211227 1
 
< 0.1%
20211208 43
0.5%
20211201 2
 
< 0.1%
20211126 3
 
< 0.1%
20211122 49
0.6%
20211116 1
 
< 0.1%
20211102 5
 
0.1%
20211027 4
 
< 0.1%

판정구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
1
6617 
<NA>
1706 
2
 
29
3
 
8

Length

Max length4
Median length1
Mean length1.612201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 6617
79.2%
<NA> 1706
 
20.4%
2 29
 
0.3%
3 8
 
0.1%

Length

2024-05-04T00:36:23.234698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:23.602943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6617
79.2%
na 1706
 
20.4%
2 29
 
0.3%
3 8
 
0.1%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

처리결과
Text

MISSING 

Distinct6
Distinct (%)66.7%
Missing8351
Missing (%)99.9%
Memory size65.4 KiB
2024-05-04T00:36:24.016673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7
Min length3

Characters and Unicode

Total characters63
Distinct characters22
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

Unique4 ?
Unique (%)44.4%

Sample

1st row관할 행정기관 통보
2nd row불검출
3rd row0.2
4th row검출 - 정량검사 의뢰
5th row불검출
ValueCountFrequency (%)
검출 3
15.0%
3
15.0%
정량검사 3
15.0%
의뢰 3
15.0%
불검출 2
10.0%
관할 1
 
5.0%
행정기관 1
 
5.0%
통보 1
 
5.0%
0.2 1
 
5.0%
0.1 1
 
5.0%
2024-05-04T00:36:25.719675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
17.5%
검 8
12.7%
출 5
 
7.9%
정 4
 
6.3%
0 3
 
4.8%
- 3
 
4.8%
량 3
 
4.8%
사 3
 
4.8%
의 3
 
4.8%
뢰 3
 
4.8%
Other values (12) 17
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40
63.5%
Space Separator 11
 
17.5%
Decimal Number 6
 
9.5%
Dash Punctuation 3
 
4.8%
Other Punctuation 3
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
검 8
20.0%
출 5
12.5%
정 4
10.0%
량 3
 
7.5%
사 3
 
7.5%
의 3
 
7.5%
뢰 3
 
7.5%
불 2
 
5.0%
관 2
 
5.0%
미 1
 
2.5%
Other values (6) 6
15.0%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
1 2
33.3%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40
63.5%
Common 23
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
검 8
20.0%
출 5
12.5%
정 4
10.0%
량 3
 
7.5%
사 3
 
7.5%
의 3
 
7.5%
뢰 3
 
7.5%
불 2
 
5.0%
관 2
 
5.0%
미 1
 
2.5%
Other values (6) 6
15.0%
Common
ValueCountFrequency (%)
11
47.8%
0 3
 
13.0%
- 3
 
13.0%
. 3
 
13.0%
1 2
 
8.7%
2 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40
63.5%
ASCII 23
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
47.8%
0 3
 
13.0%
- 3
 
13.0%
. 3
 
13.0%
1 2
 
8.7%
2 1
 
4.3%
Hangul
ValueCountFrequency (%)
검 8
20.0%
출 5
12.5%
정 4
10.0%
량 3
 
7.5%
사 3
 
7.5%
의 3
 
7.5%
뢰 3
 
7.5%
불 2
 
5.0%
관 2
 
5.0%
미 1
 
2.5%
Other values (6) 6
15.0%

수거품처리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

교부번호
Real number (ℝ)

Distinct483
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.005716 × 1010
Minimum1.9680036 × 1010
Maximum2.023005 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:26.815462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9680036 × 1010
5-th percentile1.9960036 × 1010
Q12.0010036 × 1010
median2.0070036 × 1010
Q32.0130036 × 1010
95-th percentile2.0150036 × 1010
Maximum2.023005 × 1010
Range5.5001427 × 108
Interquartile range (IQR)1.2000011 × 108

Descriptive statistics

Standard deviation69423211
Coefficient of variation (CV)0.0034612683
Kurtosis0.56130368
Mean2.005716 × 1010
Median Absolute Deviation (MAD)60000071
Skewness-0.50323261
Sum1.6767786 × 1014
Variance4.8195823 × 1015
MonotonicityNot monotonic
2024-05-04T00:36:27.666929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010036156 1351
16.2%
20130036262 1275
15.3%
19990036639 891
 
10.7%
20080036382 543
 
6.5%
20100036102 514
 
6.1%
19960036274 422
 
5.0%
20040036604 300
 
3.6%
20150036355 243
 
2.9%
20070036227 195
 
2.3%
20150036378 163
 
1.9%
Other values (473) 2463
29.5%
ValueCountFrequency (%)
19680036003 3
< 0.1%
19700036001 1
 
< 0.1%
19730036002 2
 
< 0.1%
19740036006 7
0.1%
19740036021 1
 
< 0.1%
19760036010 1
 
< 0.1%
19760036055 1
 
< 0.1%
19760036057 3
< 0.1%
19770036022 5
0.1%
19770036028 1
 
< 0.1%
ValueCountFrequency (%)
20230050277 1
< 0.1%
20220042193 1
< 0.1%
20220042023 1
< 0.1%
20220041511 1
< 0.1%
20220041148 1
< 0.1%
20210036641 1
< 0.1%
20210036535 1
< 0.1%
20210036004 1
< 0.1%
20200037483 1
< 0.1%
20200037381 1
< 0.1%

폐기일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

폐기량(kg)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

폐기금액(원)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

폐기장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

폐기방법
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

소재지(도로명)
Text

MISSING 

Distinct404
Distinct (%)6.4%
Missing2037
Missing (%)24.4%
Memory size65.4 KiB
2024-05-04T00:36:28.510400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length59
Mean length39.826032
Min length22

Characters and Unicode

Total characters251820
Distinct characters217
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)3.1%

Sample

1st row서울특별시 성동구 뚝섬로 379, 이마트 성수점 1층 (성수동2가)
2nd row서울특별시 성동구 뚝섬로 379, 이마트 성수점 1층 (성수동2가)
3rd row서울특별시 성동구 뚝섬로 379, 이마트 성수점 1층 (성수동2가)
4th row서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)
5th row서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)
ValueCountFrequency (%)
서울특별시 6323
 
13.5%
성동구 6323
 
13.5%
행당동 2620
 
5.6%
성수동2가 1899
 
4.0%
1649
 
3.5%
왕십리광장로 1414
 
3.0%
17 1399
 
3.0%
뚝섬로 1399
 
3.0%
지상2층 1361
 
2.9%
왕십리민자역사 1291
 
2.8%
Other values (653) 21221
45.2%
2024-05-04T00:36:29.591218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40638
 
16.1%
동 13589
 
5.4%
, 12214
 
4.9%
1 9516
 
3.8%
성 9456
 
3.8%
( 6813
 
2.7%
) 6802
 
2.7%
서 6647
 
2.6%
구 6503
 
2.6%
울 6399
 
2.5%
Other values (207) 133243
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144193
57.3%
Space Separator 40638
 
16.1%
Decimal Number 39282
 
15.6%
Other Punctuation 12215
 
4.9%
Open Punctuation 6813
 
2.7%
Close Punctuation 6802
 
2.7%
Dash Punctuation 1196
 
0.5%
Uppercase Letter 576
 
0.2%
Math Symbol 88
 
< 0.1%
Lowercase Letter 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 13589
 
9.4%
성 9456
 
6.6%
서 6647
 
4.6%
구 6503
 
4.5%
울 6399
 
4.4%
시 6332
 
4.4%
특 6323
 
4.4%
별 6323
 
4.4%
로 6033
 
4.2%
지 4798
 
3.3%
Other values (175) 71790
49.8%
Decimal Number
ValueCountFrequency (%)
1 9516
24.2%
2 6073
15.5%
3 5397
13.7%
7 4131
10.5%
4 3545
 
9.0%
0 3516
 
9.0%
5 2098
 
5.3%
9 1916
 
4.9%
6 1828
 
4.7%
8 1262
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 424
73.6%
L 122
 
21.2%
C 16
 
2.8%
A 6
 
1.0%
I 3
 
0.5%
T 2
 
0.3%
J 1
 
0.2%
D 1
 
0.2%
F 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
p 6
35.3%
s 6
35.3%
e 2
 
11.8%
n 1
 
5.9%
t 1
 
5.9%
r 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 12214
> 99.9%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
40638
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6813
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6802
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1196
100.0%
Math Symbol
ValueCountFrequency (%)
~ 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144193
57.3%
Common 107034
42.5%
Latin 593
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 13589
 
9.4%
성 9456
 
6.6%
서 6647
 
4.6%
구 6503
 
4.5%
울 6399
 
4.4%
시 6332
 
4.4%
특 6323
 
4.4%
별 6323
 
4.4%
로 6033
 
4.2%
지 4798
 
3.3%
Other values (175) 71790
49.8%
Common
ValueCountFrequency (%)
40638
38.0%
, 12214
 
11.4%
1 9516
 
8.9%
( 6813
 
6.4%
) 6802
 
6.4%
2 6073
 
5.7%
3 5397
 
5.0%
7 4131
 
3.9%
4 3545
 
3.3%
0 3516
 
3.3%
Other values (7) 8389
 
7.8%
Latin
ValueCountFrequency (%)
B 424
71.5%
L 122
 
20.6%
C 16
 
2.7%
A 6
 
1.0%
p 6
 
1.0%
s 6
 
1.0%
I 3
 
0.5%
e 2
 
0.3%
T 2
 
0.3%
J 1
 
0.2%
Other values (5) 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144193
57.3%
ASCII 107627
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40638
37.8%
, 12214
 
11.3%
1 9516
 
8.8%
( 6813
 
6.3%
) 6802
 
6.3%
2 6073
 
5.6%
3 5397
 
5.0%
7 4131
 
3.8%
4 3545
 
3.3%
0 3516
 
3.3%
Other values (22) 8982
 
8.3%
Hangul
ValueCountFrequency (%)
동 13589
 
9.4%
성 9456
 
6.6%
서 6647
 
4.6%
구 6503
 
4.5%
울 6399
 
4.4%
시 6332
 
4.4%
특 6323
 
4.4%
별 6323
 
4.4%
로 6033
 
4.2%
지 4798
 
3.3%
Other values (175) 71790
49.8%

소재지(지번)
Text

MISSING 

Distinct457
Distinct (%)6.1%
Missing898
Missing (%)10.7%
Memory size65.4 KiB
2024-05-04T00:36:30.187712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length29.775127
Min length20

Characters and Unicode

Total characters222182
Distinct characters196
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)2.9%

Sample

1st row서울특별시 성동구 성수동2가 333번지 16호 1층 이마트 성수점
2nd row서울특별시 성동구 성수동2가 333번지 16호 이마트 성수점
3rd row서울특별시 성동구 성수동2가 333번지 16호 이마트 성수점
4th row서울특별시 성동구 하왕십리동 339번지 67호
5th row서울특별시 성동구 하왕십리동 339번지 67호
ValueCountFrequency (%)
서울특별시 7462
18.5%
성동구 7462
18.5%
행당동 3858
 
9.5%
성수동2가 2038
 
5.0%
168번지 1724
 
4.3%
333번지 1236
 
3.1%
16호 1218
 
3.0%
200호 1085
 
2.7%
346번지 882
 
2.2%
1호 743
 
1.8%
Other values (548) 12710
31.4%
2024-05-04T00:36:31.414728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51973
23.4%
동 15182
 
6.8%
지 10062
 
4.5%
성 9671
 
4.4%
1 8507
 
3.8%
3 7724
 
3.5%
울 7534
 
3.4%
번 7519
 
3.4%
서 7467
 
3.4%
구 7465
 
3.4%
Other values (186) 89078
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125516
56.5%
Space Separator 51973
23.4%
Decimal Number 41330
 
18.6%
Close Punctuation 1102
 
0.5%
Open Punctuation 1086
 
0.5%
Other Punctuation 547
 
0.2%
Uppercase Letter 386
 
0.2%
Dash Punctuation 151
 
0.1%
Math Symbol 86
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15182
 
12.1%
지 10062
 
8.0%
성 9671
 
7.7%
울 7534
 
6.0%
번 7519
 
6.0%
서 7467
 
5.9%
구 7465
 
5.9%
시 7464
 
5.9%
특 7462
 
5.9%
별 7462
 
5.9%
Other values (153) 38228
30.5%
Uppercase Letter
ValueCountFrequency (%)
B 237
61.4%
L 122
31.6%
A 13
 
3.4%
T 4
 
1.0%
I 3
 
0.8%
C 1
 
0.3%
O 1
 
0.3%
W 1
 
0.3%
E 1
 
0.3%
R 1
 
0.3%
Other values (2) 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 8507
20.6%
3 7724
18.7%
2 5907
14.3%
6 4880
11.8%
0 4464
10.8%
4 2885
 
7.0%
8 2421
 
5.9%
7 2080
 
5.0%
5 1266
 
3.1%
9 1196
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
t 1
20.0%
r 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 545
99.6%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
51973
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1086
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Math Symbol
ValueCountFrequency (%)
~ 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125516
56.5%
Common 96275
43.3%
Latin 391
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15182
 
12.1%
지 10062
 
8.0%
성 9671
 
7.7%
울 7534
 
6.0%
번 7519
 
6.0%
서 7467
 
5.9%
구 7465
 
5.9%
시 7464
 
5.9%
특 7462
 
5.9%
별 7462
 
5.9%
Other values (153) 38228
30.5%
Common
ValueCountFrequency (%)
51973
54.0%
1 8507
 
8.8%
3 7724
 
8.0%
2 5907
 
6.1%
6 4880
 
5.1%
0 4464
 
4.6%
4 2885
 
3.0%
8 2421
 
2.5%
7 2080
 
2.2%
5 1266
 
1.3%
Other values (7) 4168
 
4.3%
Latin
ValueCountFrequency (%)
B 237
60.6%
L 122
31.2%
A 13
 
3.3%
T 4
 
1.0%
I 3
 
0.8%
e 2
 
0.5%
C 1
 
0.3%
O 1
 
0.3%
W 1
 
0.3%
E 1
 
0.3%
Other values (6) 6
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125516
56.5%
ASCII 96666
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51973
53.8%
1 8507
 
8.8%
3 7724
 
8.0%
2 5907
 
6.1%
6 4880
 
5.0%
0 4464
 
4.6%
4 2885
 
3.0%
8 2421
 
2.5%
7 2080
 
2.2%
5 1266
 
1.3%
Other values (23) 4559
 
4.7%
Hangul
ValueCountFrequency (%)
동 15182
 
12.1%
지 10062
 
8.0%
성 9671
 
7.7%
울 7534
 
6.0%
번 7519
 
6.0%
서 7467
 
5.9%
구 7465
 
5.9%
시 7464
 
5.9%
특 7462
 
5.9%
별 7462
 
5.9%
Other values (153) 38228
30.5%

업소전화번호
Text

MISSING 

Distinct404
Distinct (%)5.2%
Missing640
Missing (%)7.7%
Memory size65.4 KiB
2024-05-04T00:36:32.161299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.753497
Min length6

Characters and Unicode

Total characters83017
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)2.5%

Sample

1st row02 4991503
2nd row02 22001234
3rd row02 22001234
4th row0222001126
5th row0222001126
ValueCountFrequency (%)
02 3258
29.2%
0234081234 1358
12.2%
22001234 1143
 
10.3%
000222001210 546
 
4.9%
0222907000 459
 
4.1%
22977766 440
 
3.9%
0222907021 432
 
3.9%
4643531 422
 
3.8%
4637900 243
 
2.2%
22911505 225
 
2.0%
Other values (412) 2621
23.5%
2024-05-04T00:36:33.294746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 21793
26.3%
0 19780
23.8%
4 6802
 
8.2%
1 6436
 
7.8%
3 6433
 
7.7%
5865
 
7.1%
9 4086
 
4.9%
7 3870
 
4.7%
6 3140
 
3.8%
5 2478
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77152
92.9%
Space Separator 5865
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 21793
28.2%
0 19780
25.6%
4 6802
 
8.8%
1 6436
 
8.3%
3 6433
 
8.3%
9 4086
 
5.3%
7 3870
 
5.0%
6 3140
 
4.1%
5 2478
 
3.2%
8 2334
 
3.0%
Space Separator
ValueCountFrequency (%)
5865
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 83017
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 21793
26.3%
0 19780
23.8%
4 6802
 
8.2%
1 6436
 
7.8%
3 6433
 
7.7%
5865
 
7.1%
9 4086
 
4.9%
7 3870
 
4.7%
6 3140
 
3.8%
5 2478
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 83017
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 21793
26.3%
0 19780
23.8%
4 6802
 
8.2%
1 6436
 
7.8%
3 6433
 
7.7%
5865
 
7.1%
9 4086
 
4.9%
7 3870
 
4.7%
6 3140
 
3.8%
5 2478
 
3.0%

점검목적
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
3731 
수거
2939 
위생점검(전체)
1477 
위생점검(부분)
 
209
시설점검
 
4

Length

Max length8
Median length4
Mean length4.1035885
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row위생점검(전체)
5th row위생점검(전체)

Common Values

ValueCountFrequency (%)
<NA> 3731
44.6%
수거 2939
35.2%
위생점검(전체) 1477
 
17.7%
위생점검(부분) 209
 
2.5%
시설점검 4
 
< 0.1%

Length

2024-05-04T00:36:33.840009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:34.242110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3731
44.6%
수거 2939
35.2%
위생점검(전체 1477
 
17.7%
위생점검(부분 209
 
2.5%
시설점검 4
 
< 0.1%

점검일자
Real number (ℝ)

Distinct404
Distinct (%)4.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean20142268
Minimum20020312
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:34.642582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020312
5-th percentile20080618
Q120110324
median20150625
Q320171114
95-th percentile20211027
Maximum20240312
Range220000
Interquartile range (IQR)60790

Descriptive statistics

Standard deviation41810.679
Coefficient of variation (CV)0.0020757682
Kurtosis-0.77736338
Mean20142268
Median Absolute Deviation (MAD)30404
Skewness0.24217288
Sum1.6836922 × 1011
Variance1.7481329 × 109
MonotonicityNot monotonic
2024-05-04T00:36:35.402871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151008 251
 
3.0%
20150902 160
 
1.9%
20160202 153
 
1.8%
20081120 137
 
1.6%
20130625 124
 
1.5%
20150727 105
 
1.3%
20180313 105
 
1.3%
20111006 104
 
1.2%
20080618 100
 
1.2%
20180830 98
 
1.2%
Other values (394) 7022
84.0%
ValueCountFrequency (%)
20020312 1
 
< 0.1%
20070614 2
 
< 0.1%
20070730 5
 
0.1%
20070731 2
 
< 0.1%
20070808 10
 
0.1%
20070831 2
 
< 0.1%
20070910 8
 
0.1%
20070917 6
 
0.1%
20070921 49
0.6%
20071001 5
 
0.1%
ValueCountFrequency (%)
20240312 20
 
0.2%
20240304 1
 
< 0.1%
20240227 1
 
< 0.1%
20240226 3
 
< 0.1%
20240219 22
 
0.3%
20240119 58
0.7%
20240117 22
 
0.3%
20231204 15
 
0.2%
20231130 5
 
0.1%
20231121 24
0.3%

점검구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
<NA>
3636 
수시
3302 
기타
1134 
합동
 
255
일제
 
33

Length

Max length4
Median length2
Mean length2.8698565
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row수시
5th row수시

Common Values

ValueCountFrequency (%)
<NA> 3636
43.5%
수시 3302
39.5%
기타 1134
 
13.6%
합동 255
 
3.1%
일제 33
 
0.4%

Length

2024-05-04T00:36:35.934479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:36.560896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3636
43.5%
수시 3302
39.5%
기타 1134
 
13.6%
합동 255
 
3.1%
일제 33
 
0.4%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8360
Missing (%)100.0%
Memory size73.6 KiB

점검결과코드
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
1
4677 
<NA>
3657 
2
 
26

Length

Max length4
Median length1
Mean length2.3123206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4677
55.9%
<NA> 3657
43.7%
2 26
 
0.3%

Length

2024-05-04T00:36:37.041016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:36:37.402264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4677
55.9%
na 3657
43.7%
2 26
 
0.3%

(구)제조유통기한
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)59.5%
Missing8140
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean20120817
Minimum20111018
Maximum20150711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size73.6 KiB
2024-05-04T00:36:37.824747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111018
5-th percentile20111024
Q120111124
median20120612
Q320130202
95-th percentile20131114
Maximum20150711
Range39693
Interquartile range (IQR)19078.25

Descriptive statistics

Standard deviation8808.3245
Coefficient of variation (CV)0.00043777172
Kurtosis-0.11353056
Mean20120817
Median Absolute Deviation (MAD)9487.5
Skewness0.59048912
Sum4.4265797 × 109
Variance77586581
MonotonicityNot monotonic
2024-05-04T00:36:38.382121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111124 17
 
0.2%
20111110 11
 
0.1%
20111024 9
 
0.1%
20130911 7
 
0.1%
20120305 7
 
0.1%
20130913 6
 
0.1%
20111212 4
 
< 0.1%
20111018 4
 
< 0.1%
20130222 3
 
< 0.1%
20130718 3
 
< 0.1%
Other values (121) 149
 
1.8%
(Missing) 8140
97.4%
ValueCountFrequency (%)
20111018 4
< 0.1%
20111024 9
0.1%
20111025 1
 
< 0.1%
20111026 1
 
< 0.1%
20111028 1
 
< 0.1%
20111031 1
 
< 0.1%
20111101 1
 
< 0.1%
20111104 2
 
< 0.1%
20111106 3
 
< 0.1%
20111107 1
 
< 0.1%
ValueCountFrequency (%)
20150711 1
< 0.1%
20150314 1
< 0.1%
20140803 1
< 0.1%
20140308 1
< 0.1%
20140301 1
< 0.1%
20140222 2
< 0.1%
20140217 1
< 0.1%
20140101 1
< 0.1%
20131218 1
< 0.1%
20131122 1
< 0.1%

(구)제조회사주소
Text

MISSING 

Distinct199
Distinct (%)60.3%
Missing8030
Missing (%)96.1%
Memory size65.4 KiB
2024-05-04T00:36:39.299961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length37
Mean length20.039394
Min length2

Characters and Unicode

Total characters6613
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)45.2%

Sample

1st row충북 음성 대소 부윤 9-5
2nd row충북 청원 오창 송대리 319-3
3rd row미국
4th row전남 장흥군 용산면 계산리 387
5th row강원 속초 영랑동 210
ValueCountFrequency (%)
경기도 92
 
6.0%
성동구 43
 
2.8%
충북 36
 
2.4%
서울시 35
 
2.3%
성수동2가 28
 
1.8%
음성군 21
 
1.4%
275-88 19
 
1.2%
용인시 19
 
1.2%
사하구 18
 
1.2%
충남 18
 
1.2%
Other values (543) 1196
78.4%
2024-05-04T00:36:40.362559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1196
 
18.1%
1 227
 
3.4%
시 216
 
3.3%
동 210
 
3.2%
2 199
 
3.0%
3 197
 
3.0%
- 184
 
2.8%
구 151
 
2.3%
경 138
 
2.1%
성 138
 
2.1%
Other values (260) 3757
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3663
55.4%
Decimal Number 1351
 
20.4%
Space Separator 1196
 
18.1%
Dash Punctuation 184
 
2.8%
Lowercase Letter 139
 
2.1%
Uppercase Letter 43
 
0.7%
Close Punctuation 17
 
0.3%
Other Punctuation 14
 
0.2%
Open Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 216
 
5.9%
동 210
 
5.7%
구 151
 
4.1%
경 138
 
3.8%
성 138
 
3.8%
리 135
 
3.7%
기 118
 
3.2%
도 115
 
3.1%
면 93
 
2.5%
산 79
 
2.2%
Other values (203) 2270
62.0%
Lowercase Letter
ValueCountFrequency (%)
a 22
15.8%
i 18
12.9%
o 14
10.1%
t 14
10.1%
r 13
9.4%
l 9
 
6.5%
e 8
 
5.8%
s 6
 
4.3%
m 5
 
3.6%
h 5
 
3.6%
Other values (11) 25
18.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
16.3%
D 5
11.6%
G 5
11.6%
C 3
 
7.0%
O 2
 
4.7%
R 2
 
4.7%
N 2
 
4.7%
I 2
 
4.7%
M 2
 
4.7%
F 2
 
4.7%
Other values (8) 11
25.6%
Decimal Number
ValueCountFrequency (%)
1 227
16.8%
2 199
14.7%
3 197
14.6%
8 131
9.7%
0 123
9.1%
6 121
9.0%
5 107
7.9%
4 105
7.8%
7 88
 
6.5%
9 53
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 5
35.7%
, 5
35.7%
/ 2
 
14.3%
: 2
 
14.3%
Space Separator
ValueCountFrequency (%)
1196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3663
55.4%
Common 2768
41.9%
Latin 182
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 216
 
5.9%
동 210
 
5.7%
구 151
 
4.1%
경 138
 
3.8%
성 138
 
3.8%
리 135
 
3.7%
기 118
 
3.2%
도 115
 
3.1%
면 93
 
2.5%
산 79
 
2.2%
Other values (203) 2270
62.0%
Latin
ValueCountFrequency (%)
a 22
 
12.1%
i 18
 
9.9%
o 14
 
7.7%
t 14
 
7.7%
r 13
 
7.1%
l 9
 
4.9%
e 8
 
4.4%
A 7
 
3.8%
s 6
 
3.3%
D 5
 
2.7%
Other values (29) 66
36.3%
Common
ValueCountFrequency (%)
1196
43.2%
1 227
 
8.2%
2 199
 
7.2%
3 197
 
7.1%
- 184
 
6.6%
8 131
 
4.7%
0 123
 
4.4%
6 121
 
4.4%
5 107
 
3.9%
4 105
 
3.8%
Other values (8) 178
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3663
55.4%
ASCII 2950
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1196
40.5%
1 227
 
7.7%
2 199
 
6.7%
3 197
 
6.7%
- 184
 
6.2%
8 131
 
4.4%
0 123
 
4.2%
6 121
 
4.1%
5 107
 
3.6%
4 105
 
3.6%
Other values (47) 360
 
12.2%
Hangul
ValueCountFrequency (%)
시 216
 
5.9%
동 210
 
5.7%
구 151
 
4.1%
경 138
 
3.8%
성 138
 
3.8%
리 135
 
3.7%
기 118
 
3.2%
도 115
 
3.1%
면 93
 
2.5%
산 79
 
2.2%
Other values (203) 2270
62.0%

부적합항목
Text

MISSING 

Distinct7
Distinct (%)77.8%
Missing8351
Missing (%)99.9%
Memory size65.4 KiB
2024-05-04T00:36:40.735424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length19
Min length4

Characters and Unicode

Total characters171
Distinct characters37
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)66.7%

Sample

1st row리놀렌산
2nd row바실러스 세레우스 120(CFU/ml) 검출
3rd row바실러스 세레우스 5 (CFU/ml) 검출
4th row바실러스 세레우스 90 (CFU/ml) 검출
5th row바실러스 세레우스 990 (CFU/ml) 검출
ValueCountFrequency (%)
바실러스 5
15.2%
세레우스 5
15.2%
검출 5
15.2%
salmonella 3
9.1%
spp 3
9.1%
양성 3
9.1%
cfu/ml 3
9.1%
리놀렌산 1
 
3.0%
120(cfu/ml 1
 
3.0%
5 1
 
3.0%
Other values (3) 3
9.1%
2024-05-04T00:36:41.488111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
14.0%
l 13
 
7.6%
스 10
 
5.8%
m 7
 
4.1%
s 6
 
3.5%
p 6
 
3.5%
a 6
 
3.5%
바 5
 
2.9%
출 5
 
2.9%
검 5
 
2.9%
Other values (27) 84
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
35.1%
Lowercase Letter 48
28.1%
Space Separator 24
 
14.0%
Uppercase Letter 12
 
7.0%
Decimal Number 11
 
6.4%
Other Punctuation 8
 
4.7%
Open Punctuation 4
 
2.3%
Close Punctuation 4
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 10
16.7%
바 5
8.3%
출 5
8.3%
검 5
8.3%
우 5
8.3%
레 5
8.3%
세 5
8.3%
실 5
8.3%
러 5
8.3%
성 3
 
5.0%
Other values (5) 7
11.7%
Lowercase Letter
ValueCountFrequency (%)
l 13
27.1%
m 7
14.6%
s 6
12.5%
p 6
12.5%
a 6
12.5%
o 3
 
6.2%
n 3
 
6.2%
e 3
 
6.2%
g 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
9 3
27.3%
2 2
18.2%
5 1
 
9.1%
1 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
F 4
33.3%
U 4
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 5
62.5%
. 3
37.5%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 60
35.1%
Hangul 60
35.1%
Common 51
29.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 10
16.7%
바 5
8.3%
출 5
8.3%
검 5
8.3%
우 5
8.3%
레 5
8.3%
세 5
8.3%
실 5
8.3%
러 5
8.3%
성 3
 
5.0%
Other values (5) 7
11.7%
Latin
ValueCountFrequency (%)
l 13
21.7%
m 7
11.7%
s 6
10.0%
p 6
10.0%
a 6
10.0%
C 4
 
6.7%
F 4
 
6.7%
U 4
 
6.7%
o 3
 
5.0%
n 3
 
5.0%
Other values (2) 4
 
6.7%
Common
ValueCountFrequency (%)
24
47.1%
/ 5
 
9.8%
( 4
 
7.8%
) 4
 
7.8%
0 4
 
7.8%
9 3
 
5.9%
. 3
 
5.9%
2 2
 
3.9%
5 1
 
2.0%
1 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 111
64.9%
Hangul 60
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
21.6%
l 13
11.7%
m 7
 
6.3%
s 6
 
5.4%
p 6
 
5.4%
a 6
 
5.4%
/ 5
 
4.5%
( 4
 
3.6%
) 4
 
3.6%
0 4
 
3.6%
Other values (12) 32
28.8%
Hangul
ValueCountFrequency (%)
스 10
16.7%
바 5
8.3%
출 5
8.3%
검 5
8.3%
우 5
8.3%
레 5
8.3%
세 5
8.3%
실 5
8.3%
러 5
8.3%
성 3
 
5.0%
Other values (5) 7
11.7%

기준치부적합내용
Text

MISSING 

Distinct7
Distinct (%)77.8%
Missing8351
Missing (%)99.9%
Memory size65.4 KiB
2024-05-04T00:36:41.854908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.444444
Min length17

Characters and Unicode

Total characters184
Distinct characters41
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)66.7%

Sample

1st row기준 0.5%이하 결과 0.8%
2nd row바실러스 세레우스 120(CFU/ml) 검출
3rd row바실러스 세레우스 5 (CFU/ml) 검출
4th row바실러스 세레우스 90 (CFU/ml) 검출
5th row바실러스 세레우스 990 (CFU/ml) 검출
ValueCountFrequency (%)
바실러스 5
13.9%
세레우스 5
13.9%
검출 5
13.9%
salmonella 3
8.3%
spp 3
8.3%
양성 3
8.3%
cfu/ml 3
8.3%
기준 1
 
2.8%
0.5%이하 1
 
2.8%
결과 1
 
2.8%
Other values (6) 6
16.7%
2024-05-04T00:36:42.490196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
14.7%
l 13
 
7.1%
스 10
 
5.4%
m 7
 
3.8%
s 6
 
3.3%
p 6
 
3.3%
0 6
 
3.3%
a 6
 
3.3%
출 5
 
2.7%
검 5
 
2.7%
Other values (31) 93
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
33.7%
Lowercase Letter 48
26.1%
Space Separator 27
14.7%
Decimal Number 15
 
8.2%
Other Punctuation 12
 
6.5%
Uppercase Letter 12
 
6.5%
Open Punctuation 4
 
2.2%
Close Punctuation 4
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 10
16.1%
출 5
8.1%
검 5
8.1%
바 5
8.1%
실 5
8.1%
세 5
8.1%
러 5
8.1%
레 5
8.1%
우 5
8.1%
성 3
 
4.8%
Other values (7) 9
14.5%
Lowercase Letter
ValueCountFrequency (%)
l 13
27.1%
m 7
14.6%
s 6
12.5%
p 6
12.5%
a 6
12.5%
e 3
 
6.2%
n 3
 
6.2%
o 3
 
6.2%
g 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
0 6
40.0%
9 3
20.0%
5 2
 
13.3%
2 2
 
13.3%
1 1
 
6.7%
8 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 5
41.7%
/ 5
41.7%
% 2
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
F 4
33.3%
U 4
33.3%
C 4
33.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62
33.7%
Hangul 62
33.7%
Latin 60
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 10
16.1%
출 5
8.1%
검 5
8.1%
바 5
8.1%
실 5
8.1%
세 5
8.1%
러 5
8.1%
레 5
8.1%
우 5
8.1%
성 3
 
4.8%
Other values (7) 9
14.5%
Common
ValueCountFrequency (%)
27
43.5%
0 6
 
9.7%
. 5
 
8.1%
/ 5
 
8.1%
( 4
 
6.5%
) 4
 
6.5%
9 3
 
4.8%
5 2
 
3.2%
2 2
 
3.2%
% 2
 
3.2%
Other values (2) 2
 
3.2%
Latin
ValueCountFrequency (%)
l 13
21.7%
m 7
11.7%
s 6
10.0%
p 6
10.0%
a 6
10.0%
F 4
 
6.7%
U 4
 
6.7%
C 4
 
6.7%
e 3
 
5.0%
n 3
 
5.0%
Other values (2) 4
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
66.3%
Hangul 62
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
22.1%
l 13
 
10.7%
m 7
 
5.7%
s 6
 
4.9%
p 6
 
4.9%
0 6
 
4.9%
a 6
 
4.9%
. 5
 
4.1%
/ 5
 
4.1%
F 4
 
3.3%
Other values (14) 37
30.3%
Hangul
ValueCountFrequency (%)
스 10
16.1%
출 5
8.1%
검 5
8.1%
바 5
8.1%
실 5
8.1%
세 5
8.1%
러 5
8.1%
레 5
8.1%
우 5
8.1%
성 3
 
4.8%
Other values (7) 9
14.5%

Sample

시군구코드업종코드업종명계획구분코드계획구분명지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드바코드번호어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리구분수거검사구분코드단속지역구분코드수거장소구분코드처리결과수거품처리교부번호폐기일자폐기량(kg)폐기금액(원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검내용점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용
03030000134건강기능식품일반판매업<NA><NA><NA><NA>성동 9-1-7검사용GNC이마트성수점E0101400000000비타민 C비타민 C키즈 츄어블 멀티비타민<NA><NA><NA>202109013.072g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120210902<NA><NA><NA><NA><NA><NA><NA><NA>20090036095<NA><NA><NA><NA><NA>서울특별시 성동구 뚝섬로 379, 이마트 성수점 1층 (성수동2가)서울특별시 성동구 성수동2가 333번지 16호 1층 이마트 성수점02 4991503<NA>20210901<NA><NA><NA><NA><NA><NA><NA>
13030000134건강기능식품일반판매업<NA><NA><NA><NA>성동 9-1-5검사용휴럼 이마트 성수점E0102000000000셀레늄(또는 셀렌)셀레늄(또는 셀렌)에너지포텐B<NA><NA><NA>202109014.042g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120210902<NA><NA><NA><NA><NA><NA><NA><NA>20200037331<NA><NA><NA><NA><NA>서울특별시 성동구 뚝섬로 379, 이마트 성수점 1층 (성수동2가)서울특별시 성동구 성수동2가 333번지 16호 이마트 성수점<NA><NA>20210901<NA><NA><NA><NA><NA><NA><NA>
23030000134건강기능식품일반판매업<NA><NA><NA><NA>성동 9-1-4검사용휴럼 이마트 성수점E0101400000000비타민 C비타민 C원데이 비타민 C&D<NA><NA><NA>202109012.0200g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120210902<NA><NA><NA><NA><NA><NA><NA><NA>20200037331<NA><NA><NA><NA><NA>서울특별시 성동구 뚝섬로 379, 이마트 성수점 1층 (성수동2가)서울특별시 성동구 성수동2가 333번지 16호 이마트 성수점<NA><NA>20210901<NA><NA><NA><NA><NA><NA><NA>
33030000134건강기능식품일반판매업<NA><NA><NA><NA>02-19-15검사용초록마을 왕십리뉴타운점C0116020000000액상차액상차유기농뽕잎차<NA><NA><NA>201602192.0500ML<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120160219201603041<NA><NA><NA><NA><NA><NA>20150036694<NA><NA><NA><NA><NA>서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)서울특별시 성동구 하왕십리동 339번지 67호<NA>위생점검(전체)20160202수시<NA>1<NA><NA><NA><NA>
43030000134건강기능식품일반판매업<NA><NA><NA><NA>02-19-14검사용초록마을 왕십리뉴타운점C0116020000000액상차액상차유기농우엉차<NA><NA><NA>201602192.0500ML<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120160219201603041<NA><NA><NA><NA><NA><NA>20150036694<NA><NA><NA><NA><NA>서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)서울특별시 성동구 하왕십리동 339번지 67호<NA>위생점검(전체)20160202수시<NA>1<NA><NA><NA><NA>
53030000134건강기능식품일반판매업<NA><NA><NA><NA>02-19-13검사용초록마을 왕십리뉴타운점C0129180200000즉석조리식품즉석조리식품브로콜리크림수프<NA><NA><NA>201602193.0200g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120160219201603041<NA><NA><NA><NA><NA><NA>20150036694<NA><NA><NA><NA><NA>서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)서울특별시 성동구 하왕십리동 339번지 67호<NA>위생점검(전체)20160202수시<NA>1<NA><NA><NA><NA>
63030000134건강기능식품일반판매업<NA><NA><NA><NA>02-19-12검사용초록마을 왕십리뉴타운점C0129180200000즉석조리식품즉석조리식품양송이크림수프<NA><NA><NA>201602193.0200g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120160219201603041<NA><NA><NA><NA><NA><NA>20150036694<NA><NA><NA><NA><NA>서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)서울특별시 성동구 하왕십리동 339번지 67호<NA>위생점검(전체)20160202수시<NA>1<NA><NA><NA><NA>
73030000134건강기능식품일반판매업<NA><NA><NA><NA>02-19-11검사용초록마을 왕십리뉴타운점C0129180200000즉석조리식품즉석조리식품단호박크림수프<NA><NA><NA>201602193.0200g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120160219201603041<NA><NA><NA><NA><NA><NA>20150036694<NA><NA><NA><NA><NA>서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)서울특별시 성동구 하왕십리동 339번지 67호<NA>위생점검(전체)20160202수시<NA>1<NA><NA><NA><NA>
83030000134건강기능식품일반판매업<NA><NA><NA><NA>02-19-10검사용초록마을 왕십리뉴타운점C0129180200000즉석조리식품즉석조리식품단호박죽<NA><NA><NA>201602193.0250g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120160219201603041<NA><NA><NA><NA><NA><NA>20150036694<NA><NA><NA><NA><NA>서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)서울특별시 성동구 하왕십리동 339번지 67호<NA>위생점검(전체)20160202수시<NA>1<NA><NA><NA><NA>
93030000134건강기능식품일반판매업<NA><NA><NA><NA>02-19-09검사용초록마을 왕십리뉴타운점C0129180200000즉석조리식품즉석조리식품단팥죽<NA><NA><NA>201602193.0250g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120160219201603041<NA><NA><NA><NA><NA><NA>20150036694<NA><NA><NA><NA><NA>서울특별시 성동구 무학로 33, 152동 B104호 (하왕십리동, 왕십리뉴타운1구역 텐즈힐상가)서울특별시 성동구 하왕십리동 339번지 67호<NA>위생점검(전체)20160202수시<NA>1<NA><NA><NA><NA>
시군구코드업종코드업종명계획구분코드계획구분명지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드바코드번호어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리구분수거검사구분코드단속지역구분코드수거장소구분코드처리결과수거품처리교부번호폐기일자폐기량(kg)폐기금액(원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검내용점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용
83503030000101일반음식점<NA><NA><NA>조리식품 등 수거 식중독 검사0923-23검사용맘스터치 한양대점G0100000100000조리식품 등조리식품 등언빌리버블버거<NA><NA><NA>201909231.0300g<NA>20190923<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036660<NA><NA><NA><NA><NA>서울특별시 성동구 마조로 31, 2층 (행당동)서울특별시 성동구 행당동 3번지 29호<NA><NA>20190923<NA><NA><NA><NA><NA><NA><NA>
83513030000101일반음식점<NA><NA><NA>조리식품 등 수거 식중독 검사0923-22검사용맘스터치 한양대점G0100000100000조리식품 등조리식품 등베이컨에그랩<NA><NA><NA>201909231.0300g<NA>20190923<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036660<NA><NA><NA><NA><NA>서울특별시 성동구 마조로 31, 2층 (행당동)서울특별시 성동구 행당동 3번지 29호<NA><NA>20190923<NA><NA><NA><NA><NA><NA><NA>
83523030000101일반음식점<NA><NA><NA>조리식품 등 수거 식중독 검사0923-21검사용맘스터치 한양대점G0100000100000조리식품 등조리식품 등화이트갈릭버거<NA><NA><NA>201909231.0300g<NA>20190923<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036660<NA><NA><NA><NA><NA>서울특별시 성동구 마조로 31, 2층 (행당동)서울특별시 성동구 행당동 3번지 29호<NA><NA>20190923<NA><NA><NA><NA><NA><NA><NA>
83533030000101일반음식점<NA><NA><NA>조리식품 등 수거 식중독 검사0923-20검사용맘스터치 한양대점G0100000100000조리식품 등조리식품 등싸이버거<NA><NA><NA>201909231.0300g<NA>20190923<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036660<NA><NA><NA><NA><NA>서울특별시 성동구 마조로 31, 2층 (행당동)서울특별시 성동구 행당동 3번지 29호<NA><NA>20190923<NA><NA><NA><NA><NA><NA><NA>
83543030000101일반음식점<NA><NA><NA>조리식품 등 수거 식중독 검사0923-19검사용맘스터치 한양대점G0100000100000조리식품 등조리식품 등딥치즈버거<NA><NA><NA>201909231.0300g<NA>20190923<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036660<NA><NA><NA><NA><NA>서울특별시 성동구 마조로 31, 2층 (행당동)서울특별시 성동구 행당동 3번지 29호<NA><NA>20190923<NA><NA><NA><NA><NA><NA><NA>
83553030000101일반음식점<NA><NA><NA>조리식품 등 수거 식중독 검사0923-18검사용맘스터치 한양대점G0100000100000조리식품 등조리식품 등치즈베이컨버거<NA><NA><NA>201909231.0300g<NA>20190923<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036660<NA><NA><NA><NA><NA>서울특별시 성동구 마조로 31, 2층 (행당동)서울특별시 성동구 행당동 3번지 29호<NA><NA>20190923<NA><NA><NA><NA><NA><NA><NA>
83563030000101일반음식점<NA><NA><NA>조리식품 등 수거 식중독 검사0923-17검사용맘스터치 한양대점G0100000100000조리식품 등조리식품 등인크레더블버거<NA><NA><NA>201909231.0300g<NA>20190923<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036660<NA><NA><NA><NA><NA>서울특별시 성동구 마조로 31, 2층 (행당동)서울특별시 성동구 행당동 3번지 29호<NA><NA>20190923<NA><NA><NA><NA><NA><NA><NA>
83573030000101일반음식점<NA><NA><NA>조리식품 등 수거 식중독 검사0923-16검사용맘스터치 한양대점G0100000100000조리식품 등조리식품 등살사리코버거<NA><NA><NA>201909231.0309g<NA>20190923<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036660<NA><NA><NA><NA><NA>서울특별시 성동구 마조로 31, 2층 (행당동)서울특별시 성동구 행당동 3번지 29호<NA><NA>20190923<NA><NA><NA><NA><NA><NA><NA>
83583030000101일반음식점999<NA>2017년 식품접객업 위생 및 원산지표시제 지도점검(수시)<NA>특사경-30기타손의채한우생고기<NA><NA>소고기한우등심<NA><NA><NA>201704181.0100g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036153<NA><NA><NA><NA><NA>서울특별시 성동구 무학봉28길 1, 1층 (하왕십리동)서울특별시 성동구 하왕십리동 966번지 20호<NA>위생점검(전체)20170508합동<NA>1<NA><NA><NA><NA>
83593030000101일반음식점999<NA>2017년 식품접객업 위생 및 원산지표시제 지도점검(수시)<NA>특사경-26기타한우생각<NA><NA>소고기한우홍두깨<NA><NA><NA>201704181.0100g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150036036<NA><NA><NA><NA><NA>서울특별시 성동구 광나루로 302, 1층 (성수동2가)서울특별시 성동구 성수동2가 281번지02 4671002위생점검(전체)20170508합동<NA>1<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드업종코드업종명계획구분코드지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과교부번호소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용# duplicates
03030000112식품자동판매기영업<NA><NA><NA><NA><NA>성동경찰서 내<NA><NA>커피<NA><NA><NA>20100525400.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20050036006서울특별시 성동구 왕십리광장로 9, (행당동)서울특별시 성동구 행당동 192번지 8호0222921076수거20100525기타1<NA><NA><NA><NA>3
13030000114기타식품판매업<NA><NA>2020년도 건강기능식품 수거검사 계획4-29-9검사용(주)이마트 왕십리점E0201700000000감마리놀렌산 함유 유지감마리놀렌산 함유 유지감마리놀렌산<NA><NA><NA>202004296.072g<NA><NA><NA><NA><NA>실온<NA><NA><NA>국내<NA>2<NA><NA><NA><NA>20130036262서울특별시 성동구 왕십리광장로 17, 지상2층 (행당동, 왕십리민자역사 이마트내 )서울특별시 성동구 행당동 168번지 200호02 22001234<NA>20200429<NA><NA><NA><NA><NA><NA>2
23030000114기타식품판매업<NA><NA>2020년도 유통식품 수거검사 계획8-28-1검사용(주)이마트 왕십리점C0322020300000즉석조리식품즉석조리식품햇반<NA><NA><NA>202008286.0130g<NA><NA><NA><NA><NA>실온<NA><NA><NA>국내<NA>2<NA><NA><NA><NA>20130036262서울특별시 성동구 왕십리광장로 17, 지상2층 (행당동, 왕십리민자역사 이마트내 )서울특별시 성동구 행당동 168번지 200호02 22001234<NA>20200819<NA><NA><NA><NA><NA><NA>2
33030000114기타식품판매업<NA><NA><NA><NA><NA>(주)신세계이마트 왕십리역점<NA><NA>2배사과식초<NA><NA><NA>200811203.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20080036382<NA>서울특별시 성동구 행당동 168번지 1호 (지상2층)000222001210수거20081120수시1<NA><NA><NA><NA>2
43030000114기타식품판매업<NA><NA><NA><NA><NA>(주)신세계이마트 왕십리역점815000000면류국수라이스페이퍼<NA><NA><NA>200906253.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20080036382<NA>서울특별시 성동구 행당동 168번지 1호 (지상2층)000222001210수거20090625수시1<NA><NA><NA><NA>2
53030000114기타식품판매업<NA><NA><NA><NA><NA>(주)지에스리테일지에스마트성동점201000000과자류비스킷류다이제<NA><NA><NA>200806183.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>19990036639<NA>서울특별시 성동구 행당동 346번지 한진타운상가 지하3층0222907000위생점검(전체)20080618수시1<NA><NA><NA><NA>2
63030000114기타식품판매업<NA><NA><NA><NA><NA>(주)지에스리테일지에스마트성동점206000000어육제품어육살동원 김치찌개용<NA><NA><NA>200806183.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>19990036639<NA>서울특별시 성동구 행당동 346번지 한진타운상가 지하3층0222907000위생점검(전체)20080618수시1<NA><NA><NA><NA>2
73030000114기타식품판매업<NA><NA><NA><NA><NA>(주)지에스리테일지에스마트성동점821000000조미식품복합조미식품맛선생<NA><NA><NA>200912033.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>19990036639<NA>서울특별시 성동구 행당동 346번지 한진타운상가 지하3층0222907000수거20091203수시1<NA><NA><NA><NA>2
83030000114기타식품판매업<NA><NA><NA><NA><NA>레몬마트814000000식용유지류기타식용유지콩기름<NA><NA><NA>200904293.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20040036604<NA>서울특별시 성동구 행당동 140번지 레몬프라자 101,102호22911505수거20090429수시1<NA><NA><NA><NA>2
93030000114기타식품판매업<NA><NA><NA><NA><NA>케이엠아주마트(주)827000000주류탁주이동쌀막걸리<NA><NA><NA>201001132.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>19970036076<NA>서울특별시 성동구 금호동3가 1331번지0222375613수거20100113수시1<NA><NA><NA><NA>2