Overview

Dataset statistics

Number of variables61
Number of observations5836
Missing cells139943
Missing cells (%)39.3%
Duplicate rows21
Duplicate rows (%)0.4%
Total size in memory2.9 MiB
Average record size in memory516.0 B

Variable types

Categorical22
Numeric11
Unsupported10
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-10532/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
수거품처리 has constant value ""Constant
(구)제조회사주소 has constant value ""Constant
부적합항목 has constant value ""Constant
Dataset has 21 (0.4%) duplicate rowsDuplicates
업종명 is highly imbalanced (55.9%)Imbalance
계획구분코드 is highly imbalanced (54.4%)Imbalance
지도점검계획 is highly imbalanced (59.4%)Imbalance
수거계획 is highly imbalanced (69.2%)Imbalance
수거사유코드 is highly imbalanced (55.5%)Imbalance
음식물명 is highly imbalanced (97.4%)Imbalance
원료명 is highly imbalanced (98.2%)Imbalance
수거량(자유) is highly imbalanced (93.7%)Imbalance
제조일자(롯트) is highly imbalanced (93.6%)Imbalance
국가명 is highly imbalanced (93.3%)Imbalance
처리결과 is highly imbalanced (88.5%)Imbalance
폐기금액(원) is highly imbalanced (98.7%)Imbalance
점검구분 is highly imbalanced (52.7%)Imbalance
점검결과코드 is highly imbalanced (68.8%)Imbalance
계획구분명 has 5836 (100.0%) missing valuesMissing
수거증번호 has 1411 (24.2%) missing valuesMissing
식품군 has 885 (15.2%) missing valuesMissing
품목명 has 446 (7.6%) missing valuesMissing
생산업소 has 5147 (88.2%) missing valuesMissing
수거량(정량) has 220 (3.8%) missing valuesMissing
제품규격(정량) has 1631 (27.9%) missing valuesMissing
제조일자(일자) has 4712 (80.7%) missing valuesMissing
유통기한(일자) has 5836 (100.0%) missing valuesMissing
유통기한(제조일기준) has 5816 (99.7%) missing valuesMissing
바코드번호 has 5826 (99.8%) missing valuesMissing
어린이기호식품유형 has 5836 (100.0%) missing valuesMissing
(구)제조사명 has 5263 (90.2%) missing valuesMissing
검사의뢰일자 has 3503 (60.0%) missing valuesMissing
결과회보일자 has 4373 (74.9%) missing valuesMissing
처리구분 has 5836 (100.0%) missing valuesMissing
수거검사구분코드 has 5836 (100.0%) missing valuesMissing
단속지역구분코드 has 5836 (100.0%) missing valuesMissing
수거장소구분코드 has 5836 (100.0%) missing valuesMissing
수거품처리 has 5835 (> 99.9%) missing valuesMissing
폐기일자 has 5828 (99.9%) missing valuesMissing
폐기량(Kg) has 5828 (99.9%) missing valuesMissing
폐기장소 has 5834 (> 99.9%) missing valuesMissing
폐기방법 has 5833 (99.9%) missing valuesMissing
소재지(도로명) has 691 (11.8%) missing valuesMissing
소재지(지번) has 338 (5.8%) missing valuesMissing
업소전화번호 has 489 (8.4%) missing valuesMissing
점검내용 has 5836 (100.0%) missing valuesMissing
(구)제조유통기한 has 5836 (100.0%) missing valuesMissing
(구)제조회사주소 has 5835 (> 99.9%) missing valuesMissing
부적합항목 has 5835 (> 99.9%) missing valuesMissing
기준치부적합내용 has 5836 (100.0%) missing valuesMissing
수거량(정량) is highly skewed (γ1 = 20.59025079)Skewed
계획구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유통기한(일자) is an unsupported type, check if it needs cleaning or further analysisUnsupported
어린이기호식품유형 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
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
(구)제조유통기한 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준치부적합내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 02:06:36.340917
Analysis finished2024-05-11 02:06:42.462654
Duration6.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
3110000
5836 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 5836
100.0%

Length

2024-05-11T02:06:42.822906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:06:43.185842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 5836
100.0%

업종코드
Real number (ℝ)

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.11755
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:06:43.481272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1113
median114
Q3114
95-th percentile114
Maximum134
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.8064753
Coefficient of variation (CV)0.042869965
Kurtosis3.5198853
Mean112.11755
Median Absolute Deviation (MAD)0
Skewness-0.31030181
Sum654318
Variance23.102205
MonotonicityNot monotonic
2024-05-11T02:06:43.865934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
114 4200
72.0%
105 444
 
7.6%
101 416
 
7.1%
107 176
 
3.0%
112 161
 
2.8%
104 103
 
1.8%
121 90
 
1.5%
113 79
 
1.4%
106 57
 
1.0%
134 50
 
0.9%
Other values (4) 60
 
1.0%
ValueCountFrequency (%)
101 416
7.1%
104 103
 
1.8%
105 444
7.6%
106 57
 
1.0%
107 176
 
3.0%
109 24
 
0.4%
110 18
 
0.3%
111 1
 
< 0.1%
112 161
 
2.8%
113 79
 
1.4%
ValueCountFrequency (%)
134 50
 
0.9%
121 90
 
1.5%
120 17
 
0.3%
114 4200
72.0%
113 79
 
1.4%
112 161
 
2.8%
111 1
 
< 0.1%
110 18
 
0.3%
109 24
 
0.4%
107 176
 
3.0%

업종명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
기타식품판매업
4200 
집단급식소
444 
일반음식점
 
416
즉석판매제조가공업
 
176
식품자동판매기영업
 
161
Other values (9)
439 

Length

Max length11
Median length7
Mean length6.7839273
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row기타식품판매업
2nd row집단급식소
3rd row집단급식소
4th row집단급식소
5th row기타식품판매업

Common Values

ValueCountFrequency (%)
기타식품판매업 4200
72.0%
집단급식소 444
 
7.6%
일반음식점 416
 
7.1%
즉석판매제조가공업 176
 
3.0%
식품자동판매기영업 161
 
2.8%
휴게음식점 103
 
1.8%
제과점영업 90
 
1.5%
유통전문판매업 79
 
1.4%
식품제조가공업 57
 
1.0%
건강기능식품일반판매업 50
 
0.9%
Other values (4) 60
 
1.0%

Length

2024-05-11T02:06:44.351480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 4200
71.7%
집단급식소 444
 
7.6%
일반음식점 416
 
7.1%
즉석판매제조가공업 176
 
3.0%
식품자동판매기영업 161
 
2.8%
휴게음식점 103
 
1.8%
제과점영업 90
 
1.5%
유통전문판매업 79
 
1.3%
식품제조가공업 57
 
1.0%
건강기능식품일반판매업 50
 
0.9%
Other values (5) 78
 
1.3%

계획구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
4111 
999
1529 
7
 
155
1
 
21
2
 
20

Length

Max length4
Median length4
Mean length3.6372515
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> 4111
70.4%
999 1529
 
26.2%
7 155
 
2.7%
1 21
 
0.4%
2 20
 
0.3%

Length

2024-05-11T02:06:44.774099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:06:45.146599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4111
70.4%
999 1529
 
26.2%
7 155
 
2.7%
1 21
 
0.4%
2 20
 
0.3%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

지도점검계획
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
4111 
2013년 가공식품안전 업무계획
632 
2015년 은평구 식품제조판매 점검
 
254
2012년 가공식품안전 업무계획
 
151
2014년 가공식품 안전관리 지도점검 계획(공중위생팀)
 
141
Other values (16)
547 

Length

Max length31
Median length4
Mean length8.8192255
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4111
70.4%
2013년 가공식품안전 업무계획 632
 
10.8%
2015년 은평구 식품제조판매 점검 254
 
4.4%
2012년 가공식품안전 업무계획 151
 
2.6%
2014년 가공식품 안전관리 지도점검 계획(공중위생팀) 141
 
2.4%
2023년 식품접객업소 민원처리 및 식중독 예방점검 등 127
 
2.2%
2021년 식품안전관리 계획 104
 
1.8%
2021년도 식품접객업소 민원처리 및 식중독 예방점검 등 79
 
1.4%
2018년 식품위생업소 지도점검 계획(연중) 72
 
1.2%
2019년도 식품접객업소 지도점검 계획(연중) 30
 
0.5%
Other values (11) 135
 
2.3%

Length

2024-05-11T02:06:45.640676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4111
38.1%
가공식품안전 783
 
7.3%
업무계획 783
 
7.3%
2013년 632
 
5.9%
지도점검 298
 
2.8%
2015년 275
 
2.6%
은평구 254
 
2.4%
식품제조판매 254
 
2.4%
점검 254
 
2.4%
식품접객업소 237
 
2.2%
Other values (47) 2899
26.9%

수거계획
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5049 
2015년 은평구 수거검사의뢰 계획
 
357
2020년 유통식품 수거계획
 
239
2018년 식품수거계획
 
169
2023년 다소비식품수거검사
 
20

Length

Max length19
Median length4
Mean length5.6411926
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> 5049
86.5%
2015년 은평구 수거검사의뢰 계획 357
 
6.1%
2020년 유통식품 수거계획 239
 
4.1%
2018년 식품수거계획 169
 
2.9%
2023년 다소비식품수거검사 20
 
0.3%
2021년 유통식품 수거계획 2
 
< 0.1%

Length

2024-05-11T02:06:46.132862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:06:46.482961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5049
66.6%
2015년 357
 
4.7%
은평구 357
 
4.7%
수거검사의뢰 357
 
4.7%
계획 357
 
4.7%
유통식품 241
 
3.2%
수거계획 241
 
3.2%
2020년 239
 
3.2%
2018년 169
 
2.2%
식품수거계획 169
 
2.2%
Other values (3) 42
 
0.6%

수거증번호
Text

MISSING 

Distinct2429
Distinct (%)54.9%
Missing1411
Missing (%)24.2%
Memory size45.7 KiB
2024-05-11T02:06:47.544350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.1145763
Min length3

Characters and Unicode

Total characters22632
Distinct characters107
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1676 ?
Unique (%)37.9%

Sample

1st row은평학교-3
2nd row은평학교-2
3rd row은평학교-1
4th row은평3-1
5th row은평3-2
ValueCountFrequency (%)
은평 34
 
0.8%
숭실 13
 
0.3%
1-4 9
 
0.2%
1-17 8
 
0.2%
1-13 8
 
0.2%
1-9 8
 
0.2%
1-19 8
 
0.2%
1-22 8
 
0.2%
1-11 8
 
0.2%
1-12 8
 
0.2%
Other values (2412) 4371
97.5%
2024-05-11T02:06:49.560103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5062
22.4%
1 3579
15.8%
2 2458
10.9%
3 1514
 
6.7%
4 1325
 
5.9%
0 1252
 
5.5%
5 1036
 
4.6%
6 1034
 
4.6%
9 831
 
3.7%
7 822
 
3.6%
Other values (97) 3719
16.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14593
64.5%
Dash Punctuation 5062
 
22.4%
Other Letter 2844
 
12.6%
Uppercase Letter 75
 
0.3%
Space Separator 58
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 630
22.2%
평 629
22.1%
ㅡ 172
 
6.0%
가 84
 
3.0%
예 54
 
1.9%
일 54
 
1.9%
사 51
 
1.8%
능 50
 
1.8%
방 50
 
1.8%
건 47
 
1.7%
Other values (82) 1023
36.0%
Decimal Number
ValueCountFrequency (%)
1 3579
24.5%
2 2458
16.8%
3 1514
10.4%
4 1325
 
9.1%
0 1252
 
8.6%
5 1036
 
7.1%
6 1034
 
7.1%
9 831
 
5.7%
7 822
 
5.6%
8 742
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
O 25
33.3%
M 25
33.3%
G 25
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 5062
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19713
87.1%
Hangul 2844
 
12.6%
Latin 75
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 630
22.2%
평 629
22.1%
ㅡ 172
 
6.0%
가 84
 
3.0%
예 54
 
1.9%
일 54
 
1.9%
사 51
 
1.8%
능 50
 
1.8%
방 50
 
1.8%
건 47
 
1.7%
Other values (82) 1023
36.0%
Common
ValueCountFrequency (%)
- 5062
25.7%
1 3579
18.2%
2 2458
12.5%
3 1514
 
7.7%
4 1325
 
6.7%
0 1252
 
6.4%
5 1036
 
5.3%
6 1034
 
5.2%
9 831
 
4.2%
7 822
 
4.2%
Other values (2) 800
 
4.1%
Latin
ValueCountFrequency (%)
O 25
33.3%
M 25
33.3%
G 25
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19788
87.4%
Hangul 2672
 
11.8%
Compat Jamo 172
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5062
25.6%
1 3579
18.1%
2 2458
12.4%
3 1514
 
7.7%
4 1325
 
6.7%
0 1252
 
6.3%
5 1036
 
5.2%
6 1034
 
5.2%
9 831
 
4.2%
7 822
 
4.2%
Other values (5) 875
 
4.4%
Hangul
ValueCountFrequency (%)
은 630
23.6%
평 629
23.5%
가 84
 
3.1%
예 54
 
2.0%
일 54
 
2.0%
사 51
 
1.9%
능 50
 
1.9%
방 50
 
1.9%
건 47
 
1.8%
명 41
 
1.5%
Other values (81) 982
36.8%
Compat Jamo
ValueCountFrequency (%)
ㅡ 172
100.0%

수거사유코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
검사용
3763 
<NA>
1985 
기타
 
84
증거용
 
3
압류
 
1

Length

Max length4
Median length3
Mean length3.3255655
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 3763
64.5%
<NA> 1985
34.0%
기타 84
 
1.4%
증거용 3
 
0.1%
압류 1
 
< 0.1%

Length

2024-05-11T02:06:50.359548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:06:51.121138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 3763
64.5%
na 1985
34.0%
기타 84
 
1.4%
증거용 3
 
0.1%
압류 1
 
< 0.1%

업소명
Text

Distinct479
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-05-11T02:06:52.042575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length8.786669
Min length1

Characters and Unicode

Total characters51279
Distinct characters434
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)4.6%

Sample

1st row이마트 에브리데이 불광점
2nd row서울연은초등학교
3rd row서울연은초등학교
4th row서울연은초등학교
5th row주)이마트은평점
ValueCountFrequency (%)
주)이마트은평점 1245
 
15.8%
주)이마트 532
 
6.8%
수색점 529
 
6.7%
불광점 376
 
4.8%
이랜드 328
 
4.2%
리테일 328
 
4.2%
롯데쇼핑(주)롯데슈퍼범서점 283
 
3.6%
주)이천일아울렛불광점킴스클럽 260
 
3.3%
진로마트 191
 
2.4%
진흥마켓 164
 
2.1%
Other values (537) 3620
46.1%
2024-05-11T02:06:53.523944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3379
 
6.6%
이 3113
 
6.1%
마 3113
 
6.1%
) 3051
 
5.9%
주 3039
 
5.9%
트 2763
 
5.4%
2022
 
3.9%
( 1825
 
3.6%
은 1548
 
3.0%
평 1496
 
2.9%
Other values (424) 25930
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44135
86.1%
Close Punctuation 3051
 
5.9%
Space Separator 2022
 
3.9%
Open Punctuation 1825
 
3.6%
Uppercase Letter 138
 
0.3%
Lowercase Letter 57
 
0.1%
Decimal Number 45
 
0.1%
Other Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3379
 
7.7%
이 3113
 
7.1%
마 3113
 
7.1%
주 3039
 
6.9%
트 2763
 
6.3%
은 1548
 
3.5%
평 1496
 
3.4%
데 1057
 
2.4%
롯 999
 
2.3%
수 796
 
1.8%
Other values (388) 22832
51.7%
Uppercase Letter
ValueCountFrequency (%)
C 36
26.1%
G 32
23.2%
N 30
21.7%
S 14
 
10.1%
L 11
 
8.0%
T 5
 
3.6%
B 3
 
2.2%
H 3
 
2.2%
F 1
 
0.7%
A 1
 
0.7%
Other values (2) 2
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 15
26.3%
f 10
17.5%
o 9
15.8%
i 5
 
8.8%
m 5
 
8.8%
l 4
 
7.0%
s 3
 
5.3%
u 2
 
3.5%
y 2
 
3.5%
n 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 13
28.9%
1 12
26.7%
4 6
13.3%
0 6
13.3%
6 4
 
8.9%
5 2
 
4.4%
3 2
 
4.4%
Close Punctuation
ValueCountFrequency (%)
) 3051
100.0%
Space Separator
ValueCountFrequency (%)
2022
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1825
100.0%
Other Punctuation
ValueCountFrequency (%)
& 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44134
86.1%
Common 6949
 
13.6%
Latin 195
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3379
 
7.7%
이 3113
 
7.1%
마 3113
 
7.1%
주 3039
 
6.9%
트 2763
 
6.3%
은 1548
 
3.5%
평 1496
 
3.4%
데 1057
 
2.4%
롯 999
 
2.3%
수 796
 
1.8%
Other values (387) 22831
51.7%
Latin
ValueCountFrequency (%)
C 36
18.5%
G 32
16.4%
N 30
15.4%
e 15
7.7%
S 14
 
7.2%
L 11
 
5.6%
f 10
 
5.1%
o 9
 
4.6%
T 5
 
2.6%
i 5
 
2.6%
Other values (13) 28
14.4%
Common
ValueCountFrequency (%)
) 3051
43.9%
2022
29.1%
( 1825
26.3%
2 13
 
0.2%
1 12
 
0.2%
4 6
 
0.1%
0 6
 
0.1%
6 4
 
0.1%
& 4
 
0.1%
5 2
 
< 0.1%
Other values (3) 4
 
0.1%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44134
86.1%
ASCII 7144
 
13.9%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3379
 
7.7%
이 3113
 
7.1%
마 3113
 
7.1%
주 3039
 
6.9%
트 2763
 
6.3%
은 1548
 
3.5%
평 1496
 
3.4%
데 1057
 
2.4%
롯 999
 
2.3%
수 796
 
1.8%
Other values (387) 22831
51.7%
ASCII
ValueCountFrequency (%)
) 3051
42.7%
2022
28.3%
( 1825
25.5%
C 36
 
0.5%
G 32
 
0.4%
N 30
 
0.4%
e 15
 
0.2%
S 14
 
0.2%
2 13
 
0.2%
1 12
 
0.2%
Other values (26) 94
 
1.3%
CJK
ValueCountFrequency (%)
人 1
100.0%

식품군코드
Text

Distinct359
Distinct (%)6.2%
Missing2
Missing (%)< 0.1%
Memory size45.7 KiB
2024-05-11T02:06:54.294412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length10.812993
Min length1

Characters and Unicode

Total characters63083
Distinct characters21
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

Unique96 ?
Unique (%)1.6%

Sample

1st row818000000
2nd rowG0100000100000
3rd rowG0300000300000
4th rowG0300000300000
5th rowC0322020100000
ValueCountFrequency (%)
g0100000100000 392
 
7.3%
c01000000 280
 
5.2%
801000000 243
 
4.5%
829000000 236
 
4.4%
830000000 235
 
4.4%
821000000 216
 
4.0%
802000000 162
 
3.0%
899000000 148
 
2.8%
814000000 131
 
2.4%
g0300000300000 119
 
2.2%
Other values (347) 3213
59.8%
2024-05-11T02:06:55.621663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41965
66.5%
1 5311
 
8.4%
3279
 
5.2%
8 2823
 
4.5%
2 2633
 
4.2%
C 1857
 
2.9%
3 1688
 
2.7%
9 813
 
1.3%
G 634
 
1.0%
4 591
 
0.9%
Other values (11) 1489
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57052
90.4%
Space Separator 3279
 
5.2%
Uppercase Letter 2752
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41965
73.6%
1 5311
 
9.3%
8 2823
 
4.9%
2 2633
 
4.6%
3 1688
 
3.0%
9 813
 
1.4%
4 591
 
1.0%
5 443
 
0.8%
7 425
 
0.7%
6 360
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 1857
67.5%
G 634
 
23.0%
E 64
 
2.3%
X 54
 
2.0%
B 49
 
1.8%
A 28
 
1.0%
F 24
 
0.9%
Z 15
 
0.5%
H 15
 
0.5%
D 12
 
0.4%
Space Separator
ValueCountFrequency (%)
3279
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60331
95.6%
Latin 2752
 
4.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41965
69.6%
1 5311
 
8.8%
3279
 
5.4%
8 2823
 
4.7%
2 2633
 
4.4%
3 1688
 
2.8%
9 813
 
1.3%
4 591
 
1.0%
5 443
 
0.7%
7 425
 
0.7%
Latin
ValueCountFrequency (%)
C 1857
67.5%
G 634
 
23.0%
E 64
 
2.3%
X 54
 
2.0%
B 49
 
1.8%
A 28
 
1.0%
F 24
 
0.9%
Z 15
 
0.5%
H 15
 
0.5%
D 12
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63083
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41965
66.5%
1 5311
 
8.4%
3279
 
5.2%
8 2823
 
4.5%
2 2633
 
4.2%
C 1857
 
2.9%
3 1688
 
2.7%
9 813
 
1.3%
G 634
 
1.0%
4 591
 
0.9%
Other values (11) 1489
 
2.4%

식품군
Text

MISSING 

Distinct273
Distinct (%)5.5%
Missing885
Missing (%)15.2%
Memory size45.7 KiB
2024-05-11T02:06:56.595016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length20
Mean length6.0224197
Min length1

Characters and Unicode

Total characters29817
Distinct characters297
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

Unique71 ?
Unique (%)1.4%

Sample

1st row음료류
2nd row조리식품 등
3rd row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
4th row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
5th row즉석섭취식품
ValueCountFrequency (%)
등 538
 
7.3%
조리식품 407
 
5.5%
과자류 270
 
3.7%
기타식품류 241
 
3.3%
조미식품 239
 
3.2%
규격외일반가공식품 235
 
3.2%
빵또는떡류 162
 
2.2%
식용유지류 151
 
2.1%
축산물가공품 148
 
2.0%
중인 134
 
1.8%
Other values (292) 4838
65.7%
2024-05-11T02:06:57.730146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2412
 
8.1%
류 2125
 
7.1%
식 1898
 
6.4%
품 1858
 
6.2%
가 953
 
3.2%
조 864
 
2.9%
기 765
 
2.6%
공 672
 
2.3%
용 599
 
2.0%
등 538
 
1.8%
Other values (287) 17133
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26330
88.3%
Space Separator 2412
 
8.1%
Other Punctuation 590
 
2.0%
Close Punctuation 201
 
0.7%
Open Punctuation 201
 
0.7%
Uppercase Letter 52
 
0.2%
Decimal Number 16
 
0.1%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 2125
 
8.1%
식 1898
 
7.2%
품 1858
 
7.1%
가 953
 
3.6%
조 864
 
3.3%
기 765
 
2.9%
공 672
 
2.6%
용 599
 
2.3%
등 538
 
2.0%
리 520
 
2.0%
Other values (267) 15538
59.0%
Uppercase Letter
ValueCountFrequency (%)
E 15
28.8%
C 9
17.3%
A 8
15.4%
B 5
 
9.6%
D 5
 
9.6%
H 4
 
7.7%
P 4
 
7.7%
L 2
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 357
60.5%
. 202
34.2%
/ 29
 
4.9%
? 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
3 11
68.8%
1 3
 
18.8%
2 1
 
6.2%
6 1
 
6.2%
Space Separator
ValueCountFrequency (%)
2412
100.0%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26330
88.3%
Common 3435
 
11.5%
Latin 52
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 2125
 
8.1%
식 1898
 
7.2%
품 1858
 
7.1%
가 953
 
3.6%
조 864
 
3.3%
기 765
 
2.9%
공 672
 
2.6%
용 599
 
2.3%
등 538
 
2.0%
리 520
 
2.0%
Other values (267) 15538
59.0%
Common
ValueCountFrequency (%)
2412
70.2%
, 357
 
10.4%
. 202
 
5.9%
) 201
 
5.9%
( 201
 
5.9%
/ 29
 
0.8%
- 15
 
0.4%
3 11
 
0.3%
1 3
 
0.1%
? 2
 
0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
E 15
28.8%
C 9
17.3%
A 8
15.4%
B 5
 
9.6%
D 5
 
9.6%
H 4
 
7.7%
P 4
 
7.7%
L 2
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26330
88.3%
ASCII 3487
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2412
69.2%
, 357
 
10.2%
. 202
 
5.8%
) 201
 
5.8%
( 201
 
5.8%
/ 29
 
0.8%
E 15
 
0.4%
- 15
 
0.4%
3 11
 
0.3%
C 9
 
0.3%
Other values (10) 35
 
1.0%
Hangul
ValueCountFrequency (%)
류 2125
 
8.1%
식 1898
 
7.2%
품 1858
 
7.1%
가 953
 
3.6%
조 864
 
3.3%
기 765
 
2.9%
공 672
 
2.6%
용 599
 
2.3%
등 538
 
2.0%
리 520
 
2.0%
Other values (267) 15538
59.0%

품목명
Text

MISSING 

Distinct374
Distinct (%)6.9%
Missing446
Missing (%)7.6%
Memory size45.7 KiB
2024-05-11T02:06:58.477516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length23
Mean length5.867718
Min length1

Characters and Unicode

Total characters31627
Distinct characters344
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

Unique119 ?
Unique (%)2.2%

Sample

1st row두유
2nd row조리식품 등
3rd row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
4th row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
5th row즉석섭취식품
ValueCountFrequency (%)
등 633
 
7.8%
조리식품 502
 
6.2%
소스류 222
 
2.7%
과자 200
 
2.5%
중인 146
 
1.8%
제외한다 144
 
1.8%
것은 144
 
1.8%
및 134
 
1.7%
숟가락 134
 
1.7%
젓가락 133
 
1.6%
Other values (398) 5714
70.5%
2024-05-11T02:06:59.576233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2716
 
8.6%
품 1486
 
4.7%
식 1254
 
4.0%
류 1174
 
3.7%
가 991
 
3.1%
조 948
 
3.0%
기 852
 
2.7%
리 731
 
2.3%
등 644
 
2.0%
공 634
 
2.0%
Other values (334) 20197
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27325
86.4%
Space Separator 2716
 
8.6%
Other Punctuation 711
 
2.2%
Close Punctuation 382
 
1.2%
Open Punctuation 382
 
1.2%
Uppercase Letter 61
 
0.2%
Decimal Number 18
 
0.1%
Dash Punctuation 17
 
0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 1486
 
5.4%
식 1254
 
4.6%
류 1174
 
4.3%
가 991
 
3.6%
조 948
 
3.5%
기 852
 
3.1%
리 731
 
2.7%
등 644
 
2.4%
공 634
 
2.3%
과 513
 
1.9%
Other values (306) 18098
66.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
20.0%
u 3
20.0%
l 2
13.3%
r 2
13.3%
o 1
 
6.7%
t 1
 
6.7%
s 1
 
6.7%
f 1
 
6.7%
a 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
E 15
24.6%
C 15
24.6%
A 9
14.8%
D 7
11.5%
B 5
 
8.2%
P 5
 
8.2%
H 3
 
4.9%
L 2
 
3.3%
Decimal Number
ValueCountFrequency (%)
3 13
72.2%
1 3
 
16.7%
2 1
 
5.6%
6 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 395
55.6%
. 291
40.9%
/ 25
 
3.5%
Space Separator
ValueCountFrequency (%)
2716
100.0%
Close Punctuation
ValueCountFrequency (%)
) 382
100.0%
Open Punctuation
ValueCountFrequency (%)
( 382
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27325
86.4%
Common 4226
 
13.4%
Latin 76
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 1486
 
5.4%
식 1254
 
4.6%
류 1174
 
4.3%
가 991
 
3.6%
조 948
 
3.5%
기 852
 
3.1%
리 731
 
2.7%
등 644
 
2.4%
공 634
 
2.3%
과 513
 
1.9%
Other values (306) 18098
66.2%
Latin
ValueCountFrequency (%)
E 15
19.7%
C 15
19.7%
A 9
11.8%
D 7
9.2%
B 5
 
6.6%
P 5
 
6.6%
e 3
 
3.9%
u 3
 
3.9%
H 3
 
3.9%
l 2
 
2.6%
Other values (7) 9
11.8%
Common
ValueCountFrequency (%)
2716
64.3%
, 395
 
9.3%
) 382
 
9.0%
( 382
 
9.0%
. 291
 
6.9%
/ 25
 
0.6%
- 17
 
0.4%
3 13
 
0.3%
1 3
 
0.1%
2 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27325
86.4%
ASCII 4302
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2716
63.1%
, 395
 
9.2%
) 382
 
8.9%
( 382
 
8.9%
. 291
 
6.8%
/ 25
 
0.6%
- 17
 
0.4%
E 15
 
0.3%
C 15
 
0.3%
3 13
 
0.3%
Other values (18) 51
 
1.2%
Hangul
ValueCountFrequency (%)
품 1486
 
5.4%
식 1254
 
4.6%
류 1174
 
4.3%
가 991
 
3.6%
조 948
 
3.5%
기 852
 
3.1%
리 731
 
2.7%
등 644
 
2.4%
공 634
 
2.3%
과 513
 
1.9%
Other values (306) 18098
66.2%

제품명
Text

Distinct4453
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-05-11T02:07:00.152848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length7.5966415
Min length1

Characters and Unicode

Total characters44334
Distinct characters954
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3858 ?
Unique (%)66.1%

Sample

1st row연세두유고소한아몬드잣두유
2nd row총각김치(은평학교-3)
3rd row도마(수산물)(은평학교-2)
4th row칼(수산물)(은평학교-1)
5th row담백한 에그 포테이토 샐러드
ValueCountFrequency (%)
커피 108
 
1.2%
청정원 73
 
0.8%
오뚜기 51
 
0.6%
이마트 47
 
0.5%
프리미엄 33
 
0.4%
참기름 30
 
0.3%
한우 30
 
0.3%
드레싱 27
 
0.3%
고춧가루 27
 
0.3%
백설 26
 
0.3%
Other values (5229) 8613
95.0%
2024-05-11T02:07:01.238951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3252
 
7.3%
스 1010
 
2.3%
리 815
 
1.8%
이 747
 
1.7%
기 647
 
1.5%
- 526
 
1.2%
0 515
 
1.2%
고 474
 
1.1%
2 466
 
1.1%
치 439
 
1.0%
Other values (944) 35443
79.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36700
82.8%
Space Separator 3252
 
7.3%
Decimal Number 2026
 
4.6%
Lowercase Letter 535
 
1.2%
Dash Punctuation 526
 
1.2%
Uppercase Letter 389
 
0.9%
Open Punctuation 370
 
0.8%
Close Punctuation 369
 
0.8%
Other Punctuation 150
 
0.3%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1010
 
2.8%
리 815
 
2.2%
이 747
 
2.0%
기 647
 
1.8%
고 474
 
1.3%
치 439
 
1.2%
마 411
 
1.1%
드 402
 
1.1%
오 399
 
1.1%
소 378
 
1.0%
Other values (861) 30978
84.4%
Uppercase Letter
ValueCountFrequency (%)
C 44
 
11.3%
A 31
 
8.0%
O 28
 
7.2%
S 27
 
6.9%
M 24
 
6.2%
P 22
 
5.7%
E 21
 
5.4%
I 18
 
4.6%
D 18
 
4.6%
T 17
 
4.4%
Other values (16) 139
35.7%
Lowercase Letter
ValueCountFrequency (%)
a 69
12.9%
e 48
 
9.0%
s 40
 
7.5%
o 40
 
7.5%
i 35
 
6.5%
m 33
 
6.2%
r 30
 
5.6%
t 29
 
5.4%
w 26
 
4.9%
l 25
 
4.7%
Other values (14) 160
29.9%
Other Punctuation
ValueCountFrequency (%)
, 57
38.0%
% 19
 
12.7%
& 19
 
12.7%
. 11
 
7.3%
; 10
 
6.7%
: 8
 
5.3%
？ 7
 
4.7%
/ 6
 
4.0%
? 4
 
2.7%
# 3
 
2.0%
Other values (4) 6
 
4.0%
Decimal Number
ValueCountFrequency (%)
0 515
25.4%
2 466
23.0%
1 368
18.2%
3 200
 
9.9%
4 133
 
6.6%
9 99
 
4.9%
6 83
 
4.1%
8 61
 
3.0%
5 58
 
2.9%
7 43
 
2.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 1
 
14.3%
Ⅵ 1
 
14.3%
Ⅳ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
3252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 526
100.0%
Open Punctuation
ValueCountFrequency (%)
( 370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 369
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36689
82.8%
Common 6703
 
15.1%
Latin 932
 
2.1%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1010
 
2.8%
리 815
 
2.2%
이 747
 
2.0%
기 647
 
1.8%
고 474
 
1.3%
치 439
 
1.2%
마 411
 
1.1%
드 402
 
1.1%
오 399
 
1.1%
소 378
 
1.0%
Other values (851) 30967
84.4%
Latin
ValueCountFrequency (%)
a 69
 
7.4%
e 48
 
5.2%
C 44
 
4.7%
s 40
 
4.3%
o 40
 
4.3%
i 35
 
3.8%
m 33
 
3.5%
A 31
 
3.3%
r 30
 
3.2%
t 29
 
3.1%
Other values (45) 533
57.2%
Common
ValueCountFrequency (%)
3252
48.5%
- 526
 
7.8%
0 515
 
7.7%
2 466
 
7.0%
( 370
 
5.5%
) 369
 
5.5%
1 368
 
5.5%
3 200
 
3.0%
4 133
 
2.0%
9 99
 
1.5%
Other values (19) 405
 
6.0%
Han
ValueCountFrequency (%)
美 2
20.0%
秀 1
10.0%
生 1
10.0%
泉 1
10.0%
淵 1
10.0%
茶 1
10.0%
愛 1
10.0%
眞 1
10.0%
精 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36689
82.8%
ASCII 7620
 
17.2%
CJK 9
 
< 0.1%
None 8
 
< 0.1%
Number Forms 7
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3252
42.7%
- 526
 
6.9%
0 515
 
6.8%
2 466
 
6.1%
( 370
 
4.9%
) 369
 
4.8%
1 368
 
4.8%
3 200
 
2.6%
4 133
 
1.7%
9 99
 
1.3%
Other values (68) 1322
17.3%
Hangul
ValueCountFrequency (%)
스 1010
 
2.8%
리 815
 
2.2%
이 747
 
2.0%
기 647
 
1.8%
고 474
 
1.3%
치 439
 
1.2%
마 411
 
1.1%
드 402
 
1.1%
오 399
 
1.1%
소 378
 
1.0%
Other values (851) 30967
84.4%
None
ValueCountFrequency (%)
？ 7
87.5%
º 1
 
12.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 1
 
14.3%
Ⅵ 1
 
14.3%
Ⅳ 1
 
14.3%
CJK
ValueCountFrequency (%)
美 2
22.2%
秀 1
11.1%
生 1
11.1%
泉 1
11.1%
淵 1
11.1%
愛 1
11.1%
眞 1
11.1%
精 1
11.1%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

음식물명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5780 
커피
 
32
율무
 
7
생크림케익
 
3
패스츄리
 
3
Other values (9)
 
11

Length

Max length5
Median length4
Mean length3.9842358
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> 5780
99.0%
커피 32
 
0.5%
율무 7
 
0.1%
생크림케익 3
 
0.1%
패스츄리 3
 
0.1%
육회 3
 
0.1%
깐풍기 1
 
< 0.1%
돈가스 1
 
< 0.1%
스프 1
 
< 0.1%
김치 1
 
< 0.1%
Other values (4) 4
 
0.1%

Length

2024-05-11T02:07:01.597631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5780
99.0%
커피 32
 
0.5%
율무 7
 
0.1%
생크림케익 3
 
0.1%
패스츄리 3
 
0.1%
육회 3
 
0.1%
깐풍기 1
 
< 0.1%
돈가스 1
 
< 0.1%
스프 1
 
< 0.1%
김치 1
 
< 0.1%
Other values (4) 4
 
0.1%

원료명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5815 
건강기능식품
 
19
콩
 
1
들깨100%
 
1

Length

Max length6
Median length4
Mean length4.00634
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5815
99.6%
건강기능식품 19
 
0.3%
콩 1
 
< 0.1%
들깨100% 1
 
< 0.1%

Length

2024-05-11T02:07:01.865028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:02.185616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5815
99.6%
건강기능식품 19
 
0.3%
콩 1
 
< 0.1%
들깨100 1
 
< 0.1%

생산업소
Text

MISSING 

Distinct248
Distinct (%)36.0%
Missing5147
Missing (%)88.2%
Memory size45.7 KiB
2024-05-11T02:07:02.676151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length7.808418
Min length2

Characters and Unicode

Total characters5380
Distinct characters306
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

Unique136 ?
Unique (%)19.7%

Sample

1st row은평보호작업장
2nd row참맛나푸드
3rd row전남 무안군 청계면 청계공단 1길 50
4th row충북 충주시 대소원면 메가폴리스로30
5th row충북 옥천군 동이면 옥천동이로 576-60
ValueCountFrequency (%)
주)오뚜기 29
 
3.5%
대상(주 23
 
2.8%
롯데칠성음료(주 22
 
2.6%
cj제일제당(주 21
 
2.5%
은평경찰서구내식당 21
 
2.5%
유진제과 19
 
2.3%
씨제이제일제당(주 19
 
2.3%
농심 15
 
1.8%
오뚜기(주 14
 
1.7%
주 13
 
1.6%
Other values (310) 635
76.4%
2024-05-11T02:07:03.766223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 490
 
9.1%
) 474
 
8.8%
( 471
 
8.8%
제 217
 
4.0%
168
 
3.1%
식 156
 
2.9%
품 122
 
2.3%
오 79
 
1.5%
당 79
 
1.5%
과 67
 
1.2%
Other values (296) 3057
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3585
66.6%
Close Punctuation 474
 
8.8%
Open Punctuation 471
 
8.8%
Uppercase Letter 320
 
5.9%
Lowercase Letter 273
 
5.1%
Space Separator 168
 
3.1%
Other Punctuation 53
 
1.0%
Decimal Number 35
 
0.7%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 490
 
13.7%
제 217
 
6.1%
식 156
 
4.4%
품 122
 
3.4%
오 79
 
2.2%
당 79
 
2.2%
과 67
 
1.9%
기 66
 
1.8%
일 65
 
1.8%
뚜 61
 
1.7%
Other values (236) 2183
60.9%
Uppercase Letter
ValueCountFrequency (%)
C 46
14.4%
J 25
 
7.8%
E 22
 
6.9%
F 22
 
6.9%
T 22
 
6.9%
B 20
 
6.2%
L 19
 
5.9%
N 17
 
5.3%
A 16
 
5.0%
S 14
 
4.4%
Other values (12) 97
30.3%
Lowercase Letter
ValueCountFrequency (%)
a 38
13.9%
m 30
11.0%
p 26
 
9.5%
c 20
 
7.3%
e 20
 
7.3%
o 19
 
7.0%
n 16
 
5.9%
d 14
 
5.1%
i 12
 
4.4%
t 12
 
4.4%
Other values (11) 66
24.2%
Decimal Number
ValueCountFrequency (%)
2 8
22.9%
1 8
22.9%
5 5
14.3%
6 4
11.4%
0 3
 
8.6%
7 3
 
8.6%
9 2
 
5.7%
8 1
 
2.9%
3 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
; 26
49.1%
& 17
32.1%
. 9
 
17.0%
/ 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 474
100.0%
Open Punctuation
ValueCountFrequency (%)
( 471
100.0%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3585
66.6%
Common 1202
 
22.3%
Latin 593
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 490
 
13.7%
제 217
 
6.1%
식 156
 
4.4%
품 122
 
3.4%
오 79
 
2.2%
당 79
 
2.2%
과 67
 
1.9%
기 66
 
1.8%
일 65
 
1.8%
뚜 61
 
1.7%
Other values (236) 2183
60.9%
Latin
ValueCountFrequency (%)
C 46
 
7.8%
a 38
 
6.4%
m 30
 
5.1%
p 26
 
4.4%
J 25
 
4.2%
E 22
 
3.7%
F 22
 
3.7%
T 22
 
3.7%
c 20
 
3.4%
e 20
 
3.4%
Other values (33) 322
54.3%
Common
ValueCountFrequency (%)
) 474
39.4%
( 471
39.2%
168
 
14.0%
; 26
 
2.2%
& 17
 
1.4%
. 9
 
0.7%
2 8
 
0.7%
1 8
 
0.7%
5 5
 
0.4%
6 4
 
0.3%
Other values (7) 12
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3585
66.6%
ASCII 1795
33.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 490
 
13.7%
제 217
 
6.1%
식 156
 
4.4%
품 122
 
3.4%
오 79
 
2.2%
당 79
 
2.2%
과 67
 
1.9%
기 66
 
1.8%
일 65
 
1.8%
뚜 61
 
1.7%
Other values (236) 2183
60.9%
ASCII
ValueCountFrequency (%)
) 474
26.4%
( 471
26.2%
168
 
9.4%
C 46
 
2.6%
a 38
 
2.1%
m 30
 
1.7%
p 26
 
1.4%
; 26
 
1.4%
J 25
 
1.4%
E 22
 
1.2%
Other values (50) 469
26.1%

수거일자
Real number (ℝ)

Distinct338
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20143856
Minimum20040105
Maximum21011123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:04.217709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040105
5-th percentile20090623
Q120110114
median20140117
Q320171150
95-th percentile20210928
Maximum21011123
Range971018
Interquartile range (IQR)61035.75

Descriptive statistics

Standard deviation42781.246
Coefficient of variation (CV)0.0021237863
Kurtosis27.92023
Mean20143856
Median Absolute Deviation (MAD)30505
Skewness1.8021717
Sum1.1755954 × 1011
Variance1.830235 × 109
MonotonicityDecreasing
2024-05-11T02:07:04.573677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111215 103
 
1.8%
20101210 91
 
1.6%
20160822 86
 
1.5%
20101203 84
 
1.4%
20091207 83
 
1.4%
20130426 81
 
1.4%
20160414 81
 
1.4%
20101123 80
 
1.4%
20191121 67
 
1.1%
20150623 65
 
1.1%
Other values (328) 5015
85.9%
ValueCountFrequency (%)
20040105 1
 
< 0.1%
20040213 16
 
0.3%
20040414 1
 
< 0.1%
20050408 1
 
< 0.1%
20050526 2
 
< 0.1%
20050602 1
 
< 0.1%
20080411 1
 
< 0.1%
20090108 27
0.5%
20090115 46
0.8%
20090205 12
 
0.2%
ValueCountFrequency (%)
21011123 1
 
< 0.1%
20240315 3
 
0.1%
20240304 2
 
< 0.1%
20240227 3
 
0.1%
20240119 2
 
< 0.1%
20240110 41
0.7%
20240108 35
0.6%
20231116 21
0.4%
20231024 2
 
< 0.1%
20231016 9
 
0.2%

수거량(정량)
Real number (ℝ)

MISSING  SKEWED 

Distinct49
Distinct (%)0.9%
Missing220
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean9.2220442
Minimum1
Maximum2940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:04.924449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile8
Maximum2940
Range2939
Interquartile range (IQR)3

Descriptive statistics

Standard deviation66.885932
Coefficient of variation (CV)7.2528315
Kurtosis704.36282
Mean9.2220442
Median Absolute Deviation (MAD)1
Skewness20.590251
Sum51791
Variance4473.7279
MonotonicityNot monotonic
2024-05-11T02:07:05.289560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 2071
35.5%
3 980
16.8%
2 967
16.6%
6 739
 
12.7%
4 306
 
5.2%
5 202
 
3.5%
8 54
 
0.9%
7 47
 
0.8%
10 47
 
0.8%
600 34
 
0.6%
Other values (39) 169
 
2.9%
(Missing) 220
 
3.8%
ValueCountFrequency (%)
1 2071
35.5%
2 967
16.6%
3 980
16.8%
4 306
 
5.2%
5 202
 
3.5%
6 739
 
12.7%
7 47
 
0.8%
8 54
 
0.9%
9 24
 
0.4%
10 47
 
0.8%
ValueCountFrequency (%)
2940 1
 
< 0.1%
750 1
 
< 0.1%
730 1
 
< 0.1%
700 1
 
< 0.1%
690 1
 
< 0.1%
650 1
 
< 0.1%
616 1
 
< 0.1%
600 34
0.6%
500 1
 
< 0.1%
350 7
 
0.1%

제품규격(정량)
Text

MISSING 

Distinct478
Distinct (%)11.4%
Missing1631
Missing (%)27.9%
Memory size45.7 KiB
2024-05-11T02:07:06.010396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.9043995
Min length1

Characters and Unicode

Total characters12213
Distinct characters22
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique225 ?
Unique (%)5.4%

Sample

1st row600
2nd row110
3rd row250
4th row600
5th row600
ValueCountFrequency (%)
600 334
 
7.9%
300 259
 
6.2%
500 219
 
5.2%
200 210
 
5.0%
1 202
 
4.8%
100 193
 
4.6%
150 151
 
3.6%
250 150
 
3.6%
400 132
 
3.1%
900 85
 
2.0%
Other values (467) 2270
54.0%
2024-05-11T02:07:07.209006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5026
41.2%
1 1403
 
11.5%
5 1293
 
10.6%
2 1085
 
8.9%
3 796
 
6.5%
6 655
 
5.4%
4 513
 
4.2%
8 374
 
3.1%
7 350
 
2.9%
9 250
 
2.0%
Other values (12) 468
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11745
96.2%
Lowercase Letter 244
 
2.0%
Other Punctuation 171
 
1.4%
Uppercase Letter 51
 
0.4%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5026
42.8%
1 1403
 
11.9%
5 1293
 
11.0%
2 1085
 
9.2%
3 796
 
6.8%
6 655
 
5.6%
4 513
 
4.4%
8 374
 
3.2%
7 350
 
3.0%
9 250
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
g 164
67.2%
l 33
 
13.5%
m 33
 
13.5%
k 14
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
K 24
47.1%
G 24
47.1%
C 2
 
3.9%
L 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 168
98.2%
, 3
 
1.8%
Other Letter
ValueCountFrequency (%)
개 1
50.0%
ㅎ 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11916
97.6%
Latin 295
 
2.4%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5026
42.2%
1 1403
 
11.8%
5 1293
 
10.9%
2 1085
 
9.1%
3 796
 
6.7%
6 655
 
5.5%
4 513
 
4.3%
8 374
 
3.1%
7 350
 
2.9%
9 250
 
2.1%
Other values (2) 171
 
1.4%
Latin
ValueCountFrequency (%)
g 164
55.6%
l 33
 
11.2%
m 33
 
11.2%
K 24
 
8.1%
G 24
 
8.1%
k 14
 
4.7%
C 2
 
0.7%
L 1
 
0.3%
Hangul
ValueCountFrequency (%)
개 1
50.0%
ㅎ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12211
> 99.9%
Hangul 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5026
41.2%
1 1403
 
11.5%
5 1293
 
10.6%
2 1085
 
8.9%
3 796
 
6.5%
6 655
 
5.4%
4 513
 
4.2%
8 374
 
3.1%
7 350
 
2.9%
9 250
 
2.0%
Other values (10) 466
 
3.8%
Hangul
ValueCountFrequency (%)
개 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
100.0%

단위(정량)
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
g
2678 
<NA>
2203 
ML
577 
KG
 
250
LT
 
124
Other values (2)
 
4

Length

Max length4
Median length2
Mean length2.2955792
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
g 2678
45.9%
<NA> 2203
37.7%
ML 577
 
9.9%
KG 250
 
4.3%
LT 124
 
2.1%
매 3
 
0.1%
mm 1
 
< 0.1%

Length

2024-05-11T02:07:07.473658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:07.685870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 2678
45.9%
na 2203
37.7%
ml 577
 
9.9%
kg 250
 
4.3%
lt 124
 
2.1%
매 3
 
0.1%
mm 1
 
< 0.1%

수거량(자유)
Categorical

IMBALANCE 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5654 
1개
 
86
2스왑
 
22
환경검체
 
13
1 swab
 
10
Other values (21)
 
51

Length

Max length17
Median length4
Mean length3.9736121
Min length1

Unique

Unique11 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row2스왑
4th row2 스왑
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5654
96.9%
1개 86
 
1.5%
2스왑 22
 
0.4%
환경검체 13
 
0.2%
1 swab 10
 
0.2%
1 8
 
0.1%
3개 7
 
0.1%
2 스왑 5
 
0.1%
1개*2스왑 5
 
0.1%
2 Swab 4
 
0.1%
Other values (16) 22
 
0.4%

Length

2024-05-11T02:07:07.940861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5654
96.5%
1개 86
 
1.5%
2스왑 22
 
0.4%
1 18
 
0.3%
swab 17
 
0.3%
환경검체 13
 
0.2%
2 10
 
0.2%
3개 7
 
0.1%
스왑 5
 
0.1%
1개*2스왑 5
 
0.1%
Other values (18) 25
 
0.4%

제조일자(일자)
Real number (ℝ)

MISSING 

Distinct305
Distinct (%)27.1%
Missing4712
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean20180483
Minimum20110426
Maximum20240315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:08.273990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110426
5-th percentile20120517
Q120160622
median20180320
Q320201207
95-th percentile20231024
Maximum20240315
Range129889
Interquartile range (IQR)40585

Descriptive statistics

Standard deviation31825.287
Coefficient of variation (CV)0.0015770329
Kurtosis-0.68429569
Mean20180483
Median Absolute Deviation (MAD)20292.5
Skewness0.032347316
Sum2.2682863 × 1010
Variance1.0128489 × 109
MonotonicityNot monotonic
2024-05-11T02:07:08.729809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160822 86
 
1.5%
20240108 35
 
0.6%
20160622 30
 
0.5%
20140115 26
 
0.4%
20160502 23
 
0.4%
20170622 23
 
0.4%
20180320 19
 
0.3%
20210317 16
 
0.3%
20190703 16
 
0.3%
20151006 15
 
0.3%
Other values (295) 835
 
14.3%
(Missing) 4712
80.7%
ValueCountFrequency (%)
20110426 1
 
< 0.1%
20110430 1
 
< 0.1%
20110707 1
 
< 0.1%
20110826 1
 
< 0.1%
20111227 1
 
< 0.1%
20120104 1
 
< 0.1%
20120105 7
0.1%
20120106 1
 
< 0.1%
20120111 1
 
< 0.1%
20120126 1
 
< 0.1%
ValueCountFrequency (%)
20240315 3
 
0.1%
20240227 3
 
0.1%
20240119 1
 
< 0.1%
20240110 11
 
0.2%
20240108 35
0.6%
20231107 1
 
< 0.1%
20231101 1
 
< 0.1%
20231030 1
 
< 0.1%
20231024 2
 
< 0.1%
20231016 6
 
0.1%

제조일자(롯트)
Categorical

IMBALANCE 

Distinct36
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5597 
111111
 
173
미상
 
9
없음
 
9
기재되지 않음
 
9
Other values (31)
 
39

Length

Max length20
Median length4
Mean length4.1154901
Min length2

Unique

Unique28 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5597
95.9%
111111 173
 
3.0%
미상 9
 
0.2%
없음 9
 
0.2%
기재되지 않음 9
 
0.2%
20200916 11:10분경 수거 5
 
0.1%
20200916 11:10 수거 3
 
0.1%
1111111 3
 
0.1%
11111 1
 
< 0.1%
LKMJ200ㅗ 2015.6.16 1
 
< 0.1%
Other values (26) 26
 
0.4%

Length

2024-05-11T02:07:09.195793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5597
95.2%
111111 173
 
2.9%
미상 9
 
0.2%
없음 9
 
0.2%
기재되지 9
 
0.2%
않음 9
 
0.2%
20200916 8
 
0.1%
수거 8
 
0.1%
11:10분경 5
 
0.1%
1111111 3
 
0.1%
Other values (49) 52
 
0.9%

유통기한(일자)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)40.0%
Missing5816
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean1062290.4
Minimum0
Maximum20130729
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:09.633917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q1427.5
median111111
Q3111111
95-th percentile1112091.9
Maximum20130729
Range20130729
Interquartile range (IQR)110683.5

Descriptive statistics

Standard deviation4488584.9
Coefficient of variation (CV)4.2253838
Kurtosis19.992928
Mean1062290.4
Median Absolute Deviation (MAD)55000
Skewness4.4710061
Sum21245809
Variance2.0147394 × 1013
MonotonicityNot monotonic
2024-05-11T02:07:10.031451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
111111 10
 
0.2%
1111 3
 
0.1%
1 2
 
< 0.1%
90 1
 
< 0.1%
0 1
 
< 0.1%
5 1
 
< 0.1%
540 1
 
< 0.1%
20130729 1
 
< 0.1%
(Missing) 5816
99.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
 
< 0.1%
5 1
 
< 0.1%
90 1
 
< 0.1%
540 1
 
< 0.1%
1111 3
 
0.1%
111111 10
0.2%
20130729 1
 
< 0.1%
ValueCountFrequency (%)
20130729 1
 
< 0.1%
111111 10
0.2%
1111 3
 
0.1%
540 1
 
< 0.1%
90 1
 
< 0.1%
5 1
 
< 0.1%
1 2
 
< 0.1%
0 1
 
< 0.1%

보관상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
실온
2850 
<NA>
2023 
냉장
504 
냉동
363 
기타
 
96

Length

Max length4
Median length2
Mean length2.6932831
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 2850
48.8%
<NA> 2023
34.7%
냉장 504
 
8.6%
냉동 363
 
6.2%
기타 96
 
1.6%

Length

2024-05-11T02:07:10.325912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:10.535422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 2850
48.8%
na 2023
34.7%
냉장 504
 
8.6%
냉동 363
 
6.2%
기타 96
 
1.6%

바코드번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing5826
Missing (%)99.8%
Memory size45.7 KiB
2024-05-11T02:07:10.797310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.5
Min length10

Characters and Unicode

Total characters125
Distinct characters12
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

Unique10 ?
Unique (%)100.0%

Sample

1st row8809095260021
2nd row8809444310001
3rd row82184 04239
4th row3700D31496
5th row8802465511051
ValueCountFrequency (%)
8809095260021 1
9.1%
8809444310001 1
9.1%
82184 1
9.1%
04239 1
9.1%
3700d31496 1
9.1%
8802465511051 1
9.1%
8802465511037 1
9.1%
8802465001101 1
9.1%
8801037019162 1
9.1%
8801767337512 1
9.1%
2024-05-11T02:07:11.461944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26
20.8%
1 20
16.0%
8 18
14.4%
4 11
8.8%
9 9
 
7.2%
2 9
 
7.2%
5 8
 
6.4%
3 8
 
6.4%
6 7
 
5.6%
7 7
 
5.6%
Other values (2) 2
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
98.4%
Space Separator 1
 
0.8%
Uppercase Letter 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
21.1%
1 20
16.3%
8 18
14.6%
4 11
8.9%
9 9
 
7.3%
2 9
 
7.3%
5 8
 
6.5%
3 8
 
6.5%
6 7
 
5.7%
7 7
 
5.7%
Space Separator
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 124
99.2%
Latin 1
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26
21.0%
1 20
16.1%
8 18
14.5%
4 11
8.9%
9 9
 
7.3%
2 9
 
7.3%
5 8
 
6.5%
3 8
 
6.5%
6 7
 
5.6%
7 7
 
5.6%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26
20.8%
1 20
16.0%
8 18
14.4%
4 11
8.8%
9 9
 
7.2%
2 9
 
7.2%
5 8
 
6.4%
3 8
 
6.4%
6 7
 
5.6%
7 7
 
5.6%
Other values (2) 2
 
1.6%

어린이기호식품유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

검사기관명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
1
3391 
<NA>
2253 
0
 
192

Length

Max length4
Median length1
Mean length2.1581563
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3391
58.1%
<NA> 2253
38.6%
0 192
 
3.3%

Length

2024-05-11T02:07:11.890439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:12.203024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3391
58.1%
na 2253
38.6%
0 192
 
3.3%

(구)제조사명
Text

MISSING 

Distinct366
Distinct (%)63.9%
Missing5263
Missing (%)90.2%
Memory size45.7 KiB
2024-05-11T02:07:12.729833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length7.2757417
Min length2

Characters and Unicode

Total characters4169
Distinct characters367
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

Unique265 ?
Unique (%)46.2%

Sample

1st rowTHE SOUTH AUSTRAILIAN BREWING CO.
2nd row소분원-한진물산
3rd row소분원-한진물산
4th row선명농수산
5th rowSPIGADORO S.P.A
ValueCountFrequency (%)
co 17
 
2.4%
씨제이제일제당(주 11
 
1.6%
주)도들샘 7
 
1.0%
주)오리온 7
 
1.0%
신세계푸드 7
 
1.0%
주)동원에프앤비 7
 
1.0%
칠갑농산(주 6
 
0.9%
비에스 6
 
0.9%
시스템 6
 
0.9%
주)크라운제과 6
 
0.9%
Other values (434) 620
88.6%
2024-05-11T02:07:13.403196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 218
 
5.2%
( 207
 
5.0%
) 207
 
5.0%
127
 
3.0%
식 113
 
2.7%
품 111
 
2.7%
제 81
 
1.9%
O 81
 
1.9%
이 71
 
1.7%
A 65
 
1.6%
Other values (357) 2888
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2853
68.4%
Uppercase Letter 678
 
16.3%
Open Punctuation 207
 
5.0%
Close Punctuation 207
 
5.0%
Space Separator 127
 
3.0%
Other Punctuation 45
 
1.1%
Lowercase Letter 45
 
1.1%
Dash Punctuation 6
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 218
 
7.6%
식 113
 
4.0%
품 111
 
3.9%
제 81
 
2.8%
이 71
 
2.5%
리 52
 
1.8%
산 47
 
1.6%
원 43
 
1.5%
한 41
 
1.4%
스 40
 
1.4%
Other values (308) 2036
71.4%
Uppercase Letter
ValueCountFrequency (%)
O 81
11.9%
A 65
 
9.6%
S 50
 
7.4%
N 47
 
6.9%
E 46
 
6.8%
I 43
 
6.3%
C 42
 
6.2%
R 38
 
5.6%
T 33
 
4.9%
F 32
 
4.7%
Other values (15) 201
29.6%
Lowercase Letter
ValueCountFrequency (%)
i 6
13.3%
e 6
13.3%
o 5
11.1%
s 3
 
6.7%
d 3
 
6.7%
t 3
 
6.7%
n 3
 
6.7%
c 2
 
4.4%
v 2
 
4.4%
r 2
 
4.4%
Other values (7) 10
22.2%
Other Punctuation
ValueCountFrequency (%)
. 44
97.8%
/ 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 207
100.0%
Space Separator
ValueCountFrequency (%)
127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2853
68.4%
Latin 723
 
17.3%
Common 593
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 218
 
7.6%
식 113
 
4.0%
품 111
 
3.9%
제 81
 
2.8%
이 71
 
2.5%
리 52
 
1.8%
산 47
 
1.6%
원 43
 
1.5%
한 41
 
1.4%
스 40
 
1.4%
Other values (308) 2036
71.4%
Latin
ValueCountFrequency (%)
O 81
 
11.2%
A 65
 
9.0%
S 50
 
6.9%
N 47
 
6.5%
E 46
 
6.4%
I 43
 
5.9%
C 42
 
5.8%
R 38
 
5.3%
T 33
 
4.6%
F 32
 
4.4%
Other values (32) 246
34.0%
Common
ValueCountFrequency (%)
( 207
34.9%
) 207
34.9%
127
21.4%
. 44
 
7.4%
- 6
 
1.0%
/ 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2853
68.4%
ASCII 1316
31.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 218
 
7.6%
식 113
 
4.0%
품 111
 
3.9%
제 81
 
2.8%
이 71
 
2.5%
리 52
 
1.8%
산 47
 
1.6%
원 43
 
1.5%
한 41
 
1.4%
스 40
 
1.4%
Other values (308) 2036
71.4%
ASCII
ValueCountFrequency (%)
( 207
15.7%
) 207
15.7%
127
 
9.7%
O 81
 
6.2%
A 65
 
4.9%
S 50
 
3.8%
N 47
 
3.6%
E 46
 
3.5%
. 44
 
3.3%
I 43
 
3.3%
Other values (39) 399
30.3%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
국내
4230 
국외
1606 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 4230
72.5%
국외 1606
 
27.5%

Length

2024-05-11T02:07:13.644566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:13.816576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 4230
72.5%
국외 1606
 
27.5%

국가명
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5641 
미국
 
55
중국
 
19
일본
 
12
말레이지아
 
9
Other values (32)
 
100

Length

Max length6
Median length4
Mean length3.9580192
Min length2

Unique

Unique10 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5641
96.7%
미국 55
 
0.9%
중국 19
 
0.3%
일본 12
 
0.2%
말레이지아 9
 
0.2%
이탈리아 9
 
0.2%
스페인 8
 
0.1%
영국 8
 
0.1%
독일 7
 
0.1%
벨기에 7
 
0.1%
Other values (27) 61
 
1.0%

Length

2024-05-11T02:07:14.089610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5641
96.6%
미국 55
 
0.9%
중국 20
 
0.3%
일본 12
 
0.2%
말레이지아 9
 
0.2%
이탈리아 9
 
0.2%
스페인 8
 
0.1%
영국 8
 
0.1%
독일 7
 
0.1%
벨기에 7
 
0.1%
Other values (27) 62
 
1.1%

검사구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
3273 
1
1817 
2
746 

Length

Max length4
Median length4
Mean length2.682488
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
<NA> 3273
56.1%
1 1817
31.1%
2 746
 
12.8%

Length

2024-05-11T02:07:14.518263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:14.843245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3273
56.1%
1 1817
31.1%
2 746
 
12.8%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct147
Distinct (%)6.3%
Missing3503
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean20172591
Minimum20110114
Maximum20240315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:15.210447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110114
5-th percentile20110516
Q120160113
median20180417
Q320201123
95-th percentile20231016
Maximum20240315
Range130201
Interquartile range (IQR)41010

Descriptive statistics

Standard deviation40942.736
Coefficient of variation (CV)0.0020296221
Kurtosis-1.0652302
Mean20172591
Median Absolute Deviation (MAD)20597
Skewness-0.34113815
Sum4.7062655 × 1010
Variance1.6763077 × 109
MonotonicityNot monotonic
2024-05-11T02:07:15.582711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111215 103
 
1.8%
20160414 83
 
1.4%
20210317 82
 
1.4%
20191121 67
 
1.1%
20200728 52
 
0.9%
20111213 50
 
0.9%
20111208 48
 
0.8%
20160113 48
 
0.8%
20210126 47
 
0.8%
20180904 44
 
0.8%
Other values (137) 1709
29.3%
(Missing) 3503
60.0%
ValueCountFrequency (%)
20110114 40
0.7%
20110211 1
 
< 0.1%
20110314 33
0.6%
20110316 1
 
< 0.1%
20110421 1
 
< 0.1%
20110429 6
 
0.1%
20110504 4
 
0.1%
20110512 7
 
0.1%
20110513 6
 
0.1%
20110516 42
0.7%
ValueCountFrequency (%)
20240315 3
 
0.1%
20240305 2
 
< 0.1%
20240227 3
 
0.1%
20240119 2
 
< 0.1%
20240110 41
0.7%
20240108 35
0.6%
20231117 21
0.4%
20231113 2
 
< 0.1%
20231024 2
 
< 0.1%
20231016 7
 
0.1%

결과회보일자
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)7.8%
Missing4373
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean20185332
Minimum20151230
Maximum20230220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:15.856740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20151230
5-th percentile20160426
Q120161012
median20190131
Q320200907
95-th percentile20210903
Maximum20230220
Range78990
Interquartile range (IQR)39895

Descriptive statistics

Standard deviation18663.496
Coefficient of variation (CV)0.00092460684
Kurtosis-1.3759999
Mean20185332
Median Absolute Deviation (MAD)11073
Skewness-0.10507275
Sum2.9531141 × 1010
Variance3.4832609 × 108
MonotonicityNot monotonic
2024-05-11T02:07:16.150443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191130 101
 
1.7%
20160426 63
 
1.1%
20200820 50
 
0.9%
20160229 48
 
0.8%
20210330 47
 
0.8%
20180917 44
 
0.8%
20180330 43
 
0.7%
20200907 40
 
0.7%
20160721 37
 
0.6%
20160711 36
 
0.6%
Other values (104) 954
 
16.3%
(Missing) 4373
74.9%
ValueCountFrequency (%)
20151230 5
 
0.1%
20160229 48
0.8%
20160426 63
1.1%
20160427 6
 
0.1%
20160502 10
 
0.2%
20160513 4
 
0.1%
20160524 4
 
0.1%
20160530 28
0.5%
20160603 2
 
< 0.1%
20160607 13
 
0.2%
ValueCountFrequency (%)
20230220 1
 
< 0.1%
20220124 3
 
0.1%
20211208 6
 
0.1%
20211201 2
 
< 0.1%
20211125 8
 
0.1%
20211109 21
0.4%
20211025 2
 
< 0.1%
20211018 3
 
0.1%
20211006 3
 
0.1%
20210915 6
 
0.1%

판정구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
3469 
1
2355 
2
 
12

Length

Max length4
Median length4
Mean length2.7832419
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> 3469
59.4%
1 2355
40.4%
2 12
 
0.2%

Length

2024-05-11T02:07:16.681475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:17.007267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3469
59.4%
1 2355
40.4%
2 12
 
0.2%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

처리결과
Categorical

IMBALANCE 

Distinct38
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5483 
서울시보건환경연구원 식의약품부-8958(2016.7.21)
 
37
서보환 식의약품부-8357
 
36
한우유전자 검사 적합
 
29
서울시보건환경연구원 식품의약품부-6500(2020.7.21.)
 
22
Other values (33)
 
229

Length

Max length34
Median length4
Mean length4.9864633
Min length4

Unique

Unique10 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5483
94.0%
서울시보건환경연구원 식의약품부-8958(2016.7.21) 37
 
0.6%
서보환 식의약품부-8357 36
 
0.6%
한우유전자 검사 적합 29
 
0.5%
서울시보건환경연구원 식품의약품부-6500(2020.7.21.) 22
 
0.4%
서울시보건환경연구원 식의약품-12424 21
 
0.4%
식의약품부-4963 20
 
0.3%
서보환 식의약품부-11315(2016.9.20) 19
 
0.3%
서보환 식의약품부-11535(2016.9.23)호 15
 
0.3%
식의약품부-6784 14
 
0.2%
Other values (28) 140
 
2.4%

Length

2024-05-11T02:07:17.319196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5483
88.9%
서보환 109
 
1.8%
서울시보건환경연구원 103
 
1.7%
식의약품부-8958(2016.7.21 37
 
0.6%
식의약품부-8357 36
 
0.6%
적합 36
 
0.6%
한우유전자 30
 
0.5%
검사 30
 
0.5%
식품의약품부-6500(2020.7.21 22
 
0.4%
식의약품-12424 21
 
0.3%
Other values (41) 264
 
4.3%

수거품처리
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5835
Missing (%)> 99.9%
Memory size45.7 KiB
2024-05-11T02:07:17.794412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters11
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

Unique1 ?
Unique (%)100.0%

Sample

1st row서울시특사경 고발조치
ValueCountFrequency (%)
서울시특사경 1
50.0%
고발조치 1
50.0%
2024-05-11T02:07:18.385246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 1
9.1%
울 1
9.1%
시 1
9.1%
특 1
9.1%
사 1
9.1%
경 1
9.1%
1
9.1%
고 1
9.1%
발 1
9.1%
조 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
90.9%
Space Separator 1
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1
10.0%
울 1
10.0%
시 1
10.0%
특 1
10.0%
사 1
10.0%
경 1
10.0%
고 1
10.0%
발 1
10.0%
조 1
10.0%
치 1
10.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
90.9%
Common 1
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1
10.0%
울 1
10.0%
시 1
10.0%
특 1
10.0%
사 1
10.0%
경 1
10.0%
고 1
10.0%
발 1
10.0%
조 1
10.0%
치 1
10.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
90.9%
ASCII 1
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 1
10.0%
울 1
10.0%
시 1
10.0%
특 1
10.0%
사 1
10.0%
경 1
10.0%
고 1
10.0%
발 1
10.0%
조 1
10.0%
치 1
10.0%
ASCII
ValueCountFrequency (%)
1
100.0%

교부번호
Real number (ℝ)

Distinct482
Distinct (%)8.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.0052547 × 1010
Minimum1.9720063 × 1010
Maximum2.0230085 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:18.786643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9720063 × 1010
5-th percentile1.9960063 × 1010
Q12.0010064 × 1010
median2.0060063 × 1010
Q32.0090064 × 1010
95-th percentile2.0160064 × 1010
Maximum2.0230085 × 1010
Range5.1002173 × 108
Interquartile range (IQR)79999702

Descriptive statistics

Standard deviation58118980
Coefficient of variation (CV)0.002898334
Kurtosis2.4741347
Mean2.0052547 × 1010
Median Absolute Deviation (MAD)40000289
Skewness-0.38826619
Sum1.1698656 × 1014
Variance3.3778158 × 1015
MonotonicityNot monotonic
2024-05-11T02:07:19.278979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010063953 1186
20.3%
20090063655 646
 
11.1%
20070063139 588
 
10.1%
20040063730 283
 
4.8%
20070063006 197
 
3.4%
20050063512 164
 
2.8%
20090063147 156
 
2.7%
19960063430 138
 
2.4%
20090063335 107
 
1.8%
20040063320 92
 
1.6%
Other values (472) 2277
39.0%
ValueCountFrequency (%)
19720063006 1
 
< 0.1%
19720063012 1
 
< 0.1%
19720063014 1
 
< 0.1%
19730063007 1
 
< 0.1%
19730063014 1
 
< 0.1%
19740063013 1
 
< 0.1%
19770063015 12
0.2%
19800063053 3
 
0.1%
19810063019 6
0.1%
19810063051 1
 
< 0.1%
ValueCountFrequency (%)
20230084734 3
 
0.1%
20220077197 1
 
< 0.1%
20220076955 1
 
< 0.1%
20220076008 1
 
< 0.1%
20210064307 1
 
< 0.1%
20210063689 1
 
< 0.1%
20200064385 2
 
< 0.1%
20200063880 2
 
< 0.1%
20200063788 35
0.6%
20200063274 41
0.7%

폐기일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing5828
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20069212
Minimum20040105
Maximum20190702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:19.720468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040105
5-th percentile20040213
Q120047910
median20050526
Q320058054
95-th percentile20152100
Maximum20190702
Range150597
Interquartile range (IQR)10144.75

Descriptive statistics

Standard deviation50652.931
Coefficient of variation (CV)0.0025239123
Kurtosis6.5459448
Mean20069212
Median Absolute Deviation (MAD)5115
Skewness2.5207559
Sum1.6055369 × 108
Variance2.5657194 × 109
MonotonicityDecreasing
2024-05-11T02:07:19.999071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20050526 2
 
< 0.1%
20190702 1
 
< 0.1%
20080411 1
 
< 0.1%
20050602 1
 
< 0.1%
20050408 1
 
< 0.1%
20040414 1
 
< 0.1%
20040105 1
 
< 0.1%
(Missing) 5828
99.9%
ValueCountFrequency (%)
20040105 1
< 0.1%
20040414 1
< 0.1%
20050408 1
< 0.1%
20050526 2
< 0.1%
20050602 1
< 0.1%
20080411 1
< 0.1%
20190702 1
< 0.1%
ValueCountFrequency (%)
20190702 1
< 0.1%
20080411 1
< 0.1%
20050602 1
< 0.1%
20050526 2
< 0.1%
20050408 1
< 0.1%
20040414 1
< 0.1%
20040105 1
< 0.1%

폐기량(Kg)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing5828
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean562.61
Minimum0
Maximum2940
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:20.307344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.35
Q17.75
median54.94
Q3705
95-th percentile2173.5
Maximum2940
Range2940
Interquartile range (IQR)697.25

Descriptive statistics

Standard deviation1011.3265
Coefficient of variation (CV)1.7975623
Kurtosis5.7118144
Mean562.61
Median Absolute Deviation (MAD)54.44
Skewness2.330358
Sum4500.88
Variance1022781.4
MonotonicityNot monotonic
2024-05-11T02:07:20.593031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13.88 1
 
< 0.1%
0.0 1
 
< 0.1%
10.0 1
 
< 0.1%
750.0 1
 
< 0.1%
96.0 1
 
< 0.1%
2940.0 1
 
< 0.1%
1.0 1
 
< 0.1%
690.0 1
 
< 0.1%
(Missing) 5828
99.9%
ValueCountFrequency (%)
0.0 1
< 0.1%
1.0 1
< 0.1%
10.0 1
< 0.1%
13.88 1
< 0.1%
96.0 1
< 0.1%
690.0 1
< 0.1%
750.0 1
< 0.1%
2940.0 1
< 0.1%
ValueCountFrequency (%)
2940.0 1
< 0.1%
750.0 1
< 0.1%
690.0 1
< 0.1%
96.0 1
< 0.1%
13.88 1
< 0.1%
10.0 1
< 0.1%
1.0 1
< 0.1%
0.0 1
< 0.1%

폐기금액(원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5829 
0
 
7

Length

Max length4
Median length4
Mean length3.9964016
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> 5829
99.9%
0 7
 
0.1%

Length

2024-05-11T02:07:21.012955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:21.337588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5829
99.9%
0 7
 
0.1%

폐기장소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing5834
Missing (%)> 99.9%
Memory size45.7 KiB
2024-05-11T02:07:21.616692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row이너솔루션
2nd row무궁화식품
ValueCountFrequency (%)
이너솔루션 1
50.0%
무궁화식품 1
50.0%
2024-05-11T02:07:22.459086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1
10.0%
너 1
10.0%
솔 1
10.0%
루 1
10.0%
션 1
10.0%
무 1
10.0%
궁 1
10.0%
화 1
10.0%
식 1
10.0%
품 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1
10.0%
너 1
10.0%
솔 1
10.0%
루 1
10.0%
션 1
10.0%
무 1
10.0%
궁 1
10.0%
화 1
10.0%
식 1
10.0%
품 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1
10.0%
너 1
10.0%
솔 1
10.0%
루 1
10.0%
션 1
10.0%
무 1
10.0%
궁 1
10.0%
화 1
10.0%
식 1
10.0%
품 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1
10.0%
너 1
10.0%
솔 1
10.0%
루 1
10.0%
션 1
10.0%
무 1
10.0%
궁 1
10.0%
화 1
10.0%
식 1
10.0%
품 1
10.0%

폐기방법
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing5833
Missing (%)99.9%
Memory size45.7 KiB
2024-05-11T02:07:22.778892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length4.3333333
Min length2

Characters and Unicode

Total characters13
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row수거 후 자체폐기
2nd row폐기
3rd row압류
ValueCountFrequency (%)
수거 1
20.0%
후 1
20.0%
자체폐기 1
20.0%
폐기 1
20.0%
압류 1
20.0%
2024-05-11T02:07:23.903648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
15.4%
폐 2
15.4%
기 2
15.4%
수 1
7.7%
거 1
7.7%
후 1
7.7%
자 1
7.7%
체 1
7.7%
압 1
7.7%
류 1
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
84.6%
Space Separator 2
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 2
18.2%
기 2
18.2%
수 1
9.1%
거 1
9.1%
후 1
9.1%
자 1
9.1%
체 1
9.1%
압 1
9.1%
류 1
9.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
84.6%
Common 2
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 2
18.2%
기 2
18.2%
수 1
9.1%
거 1
9.1%
후 1
9.1%
자 1
9.1%
체 1
9.1%
압 1
9.1%
류 1
9.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
84.6%
ASCII 2
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
100.0%
Hangul
ValueCountFrequency (%)
폐 2
18.2%
기 2
18.2%
수 1
9.1%
거 1
9.1%
후 1
9.1%
자 1
9.1%
체 1
9.1%
압 1
9.1%
류 1
9.1%

소재지(도로명)
Text

MISSING 

Distinct293
Distinct (%)5.7%
Missing691
Missing (%)11.8%
Memory size45.7 KiB
2024-05-11T02:07:24.733460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length49
Mean length33.119145
Min length23

Characters and Unicode

Total characters170398
Distinct characters185
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

Unique134 ?
Unique (%)2.6%

Sample

1st row서울특별시 은평구 불광로 60, (불광동,외 12필지 지하1층)
2nd row서울특별시 은평구 백련산로2길 35, 2층 (응암동)
3rd row서울특별시 은평구 백련산로2길 35, 2층 (응암동)
4th row서울특별시 은평구 백련산로2길 35, 2층 (응암동)
5th row서울특별시 은평구 은평로 111, 은평이마트 (응암동)
ValueCountFrequency (%)
서울특별시 5145
16.9%
은평구 5145
16.9%
은평로 1588
 
5.2%
응암동 1369
 
4.5%
111 1310
 
4.3%
1층,2층,지하1층 1041
 
3.4%
불광로 769
 
2.5%
수색로 718
 
2.4%
20 649
 
2.1%
217 648
 
2.1%
Other values (444) 12054
39.6%
2024-05-11T02:07:26.157668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25292
 
14.8%
1 11873
 
7.0%
, 10845
 
6.4%
은 6969
 
4.1%
평 6968
 
4.1%
서 6025
 
3.5%
2 5788
 
3.4%
층 5742
 
3.4%
) 5490
 
3.2%
( 5490
 
3.2%
Other values (175) 79916
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93654
55.0%
Decimal Number 26889
 
15.8%
Space Separator 25292
 
14.8%
Other Punctuation 10845
 
6.4%
Close Punctuation 5490
 
3.2%
Open Punctuation 5490
 
3.2%
Uppercase Letter 1839
 
1.1%
Dash Punctuation 851
 
0.5%
Lowercase Letter 35
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 6969
 
7.4%
평 6968
 
7.4%
서 6025
 
6.4%
층 5742
 
6.1%
구 5431
 
5.8%
동 5181
 
5.5%
울 5156
 
5.5%
시 5155
 
5.5%
특 5145
 
5.5%
별 5145
 
5.5%
Other values (146) 36737
39.2%
Uppercase Letter
ValueCountFrequency (%)
B 604
32.8%
C 591
32.1%
H 589
32.0%
A 23
 
1.3%
T 9
 
0.5%
M 6
 
0.3%
R 6
 
0.3%
E 6
 
0.3%
O 2
 
0.1%
I 1
 
0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 11873
44.2%
2 5788
21.5%
0 3344
 
12.4%
7 1199
 
4.5%
3 1107
 
4.1%
5 925
 
3.4%
4 915
 
3.4%
8 680
 
2.5%
6 678
 
2.5%
9 380
 
1.4%
Space Separator
ValueCountFrequency (%)
25292
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10845
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 851
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93654
55.0%
Common 74870
43.9%
Latin 1874
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 6969
 
7.4%
평 6968
 
7.4%
서 6025
 
6.4%
층 5742
 
6.1%
구 5431
 
5.8%
동 5181
 
5.5%
울 5156
 
5.5%
시 5155
 
5.5%
특 5145
 
5.5%
별 5145
 
5.5%
Other values (146) 36737
39.2%
Common
ValueCountFrequency (%)
25292
33.8%
1 11873
15.9%
, 10845
14.5%
2 5788
 
7.7%
) 5490
 
7.3%
( 5490
 
7.3%
0 3344
 
4.5%
7 1199
 
1.6%
3 1107
 
1.5%
5 925
 
1.2%
Other values (6) 3517
 
4.7%
Latin
ValueCountFrequency (%)
B 604
32.2%
C 591
31.5%
H 589
31.4%
e 35
 
1.9%
A 23
 
1.2%
T 9
 
0.5%
M 6
 
0.3%
R 6
 
0.3%
E 6
 
0.3%
O 2
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93654
55.0%
ASCII 76744
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25292
33.0%
1 11873
15.5%
, 10845
14.1%
2 5788
 
7.5%
) 5490
 
7.2%
( 5490
 
7.2%
0 3344
 
4.4%
7 1199
 
1.6%
3 1107
 
1.4%
5 925
 
1.2%
Other values (19) 5391
 
7.0%
Hangul
ValueCountFrequency (%)
은 6969
 
7.4%
평 6968
 
7.4%
서 6025
 
6.4%
층 5742
 
6.1%
구 5431
 
5.8%
동 5181
 
5.5%
울 5156
 
5.5%
시 5155
 
5.5%
특 5145
 
5.5%
별 5145
 
5.5%
Other values (146) 36737
39.2%

소재지(지번)
Text

MISSING 

Distinct485
Distinct (%)8.8%
Missing338
Missing (%)5.8%
Memory size45.7 KiB
2024-05-11T02:07:26.975420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length29.225537
Min length21

Characters and Unicode

Total characters160682
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

Unique271 ?
Unique (%)4.9%

Sample

1st row서울특별시 은평구 불광동 554번지 1호 외 12필지 지하1층
2nd row서울특별시 은평구 응암동 90번지 1호 은평이마트
3rd row서울특별시 은평구 응암동 90번지 1호 은평이마트
4th row서울특별시 은평구 녹번동 193번지 1층
5th row서울특별시 은평구 응암동 107번지 12호 성림빌딩
ValueCountFrequency (%)
서울특별시 5498
17.6%
은평구 5498
17.6%
1호 1828
 
5.9%
응암동 1800
 
5.8%
90번지 1142
 
3.7%
대조동 795
 
2.5%
수색동 686
 
2.2%
1층 662
 
2.1%
240번지 601
 
1.9%
75번지 601
 
1.9%
Other values (535) 12068
38.7%
2024-05-11T02:07:28.168630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39239
24.4%
지 8076
 
5.0%
1 7529
 
4.7%
번 5846
 
3.6%
구 5794
 
3.6%
은 5673
 
3.5%
평 5672
 
3.5%
서 5625
 
3.5%
동 5537
 
3.4%
울 5510
 
3.4%
Other values (186) 66181
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89222
55.5%
Space Separator 39239
24.4%
Decimal Number 27363
 
17.0%
Uppercase Letter 1678
 
1.0%
Other Punctuation 1068
 
0.7%
Open Punctuation 741
 
0.5%
Close Punctuation 741
 
0.5%
Dash Punctuation 582
 
0.4%
Lowercase Letter 35
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 8076
 
9.1%
번 5846
 
6.6%
구 5794
 
6.5%
은 5673
 
6.4%
평 5672
 
6.4%
서 5625
 
6.3%
동 5537
 
6.2%
울 5510
 
6.2%
시 5498
 
6.2%
별 5498
 
6.2%
Other values (156) 30493
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 550
32.8%
C 537
32.0%
H 535
31.9%
A 23
 
1.4%
T 9
 
0.5%
M 6
 
0.4%
E 6
 
0.4%
R 6
 
0.4%
O 2
 
0.1%
S 1
 
0.1%
Other values (3) 3
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 7529
27.5%
0 4840
17.7%
2 3892
14.2%
9 1965
 
7.2%
4 1956
 
7.1%
3 1939
 
7.1%
5 1750
 
6.4%
7 1475
 
5.4%
8 1082
 
4.0%
6 935
 
3.4%
Space Separator
ValueCountFrequency (%)
39239
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1068
100.0%
Open Punctuation
ValueCountFrequency (%)
( 741
100.0%
Close Punctuation
ValueCountFrequency (%)
) 741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 582
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89222
55.5%
Common 69747
43.4%
Latin 1713
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 8076
 
9.1%
번 5846
 
6.6%
구 5794
 
6.5%
은 5673
 
6.4%
평 5672
 
6.4%
서 5625
 
6.3%
동 5537
 
6.2%
울 5510
 
6.2%
시 5498
 
6.2%
별 5498
 
6.2%
Other values (156) 30493
34.2%
Common
ValueCountFrequency (%)
39239
56.3%
1 7529
 
10.8%
0 4840
 
6.9%
2 3892
 
5.6%
9 1965
 
2.8%
4 1956
 
2.8%
3 1939
 
2.8%
5 1750
 
2.5%
7 1475
 
2.1%
8 1082
 
1.6%
Other values (6) 4080
 
5.8%
Latin
ValueCountFrequency (%)
B 550
32.1%
C 537
31.3%
H 535
31.2%
e 35
 
2.0%
A 23
 
1.3%
T 9
 
0.5%
M 6
 
0.4%
E 6
 
0.4%
R 6
 
0.4%
O 2
 
0.1%
Other values (4) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89222
55.5%
ASCII 71460
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39239
54.9%
1 7529
 
10.5%
0 4840
 
6.8%
2 3892
 
5.4%
9 1965
 
2.7%
4 1956
 
2.7%
3 1939
 
2.7%
5 1750
 
2.4%
7 1475
 
2.1%
8 1082
 
1.5%
Other values (20) 5793
 
8.1%
Hangul
ValueCountFrequency (%)
지 8076
 
9.1%
번 5846
 
6.6%
구 5794
 
6.5%
은 5673
 
6.4%
평 5672
 
6.4%
서 5625
 
6.3%
동 5537
 
6.2%
울 5510
 
6.2%
시 5498
 
6.2%
별 5498
 
6.2%
Other values (156) 30493
34.2%

업소전화번호
Text

MISSING 

Distinct372
Distinct (%)7.0%
Missing489
Missing (%)8.4%
Memory size45.7 KiB
2024-05-11T02:07:28.949508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.567608
Min length7

Characters and Unicode

Total characters56505
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)3.7%

Sample

1st row02 3022999
2nd row02 3022999
3rd row02 3022999
4th row02 3801234
5th row02 3801234
ValueCountFrequency (%)
02 4031
39.1%
3801234 1267
 
12.3%
69431234 646
 
6.3%
0234172001 588
 
5.7%
0203828654 283
 
2.7%
358 160
 
1.6%
8546 156
 
1.5%
3047471 138
 
1.3%
352 119
 
1.2%
3081100 117
 
1.1%
Other values (400) 2803
27.2%
2024-05-11T02:07:30.328632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10746
19.0%
2 9540
16.9%
3 8126
14.4%
6437
11.4%
4 4888
8.7%
1 4711
8.3%
8 4219
 
7.5%
5 2327
 
4.1%
6 2224
 
3.9%
7 1793
 
3.2%
Other values (2) 1494
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50059
88.6%
Space Separator 6437
 
11.4%
Dash Punctuation 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10746
21.5%
2 9540
19.1%
3 8126
16.2%
4 4888
9.8%
1 4711
9.4%
8 4219
 
8.4%
5 2327
 
4.6%
6 2224
 
4.4%
7 1793
 
3.6%
9 1485
 
3.0%
Space Separator
ValueCountFrequency (%)
6437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10746
19.0%
2 9540
16.9%
3 8126
14.4%
6437
11.4%
4 4888
8.7%
1 4711
8.3%
8 4219
 
7.5%
5 2327
 
4.1%
6 2224
 
3.9%
7 1793
 
3.2%
Other values (2) 1494
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10746
19.0%
2 9540
16.9%
3 8126
14.4%
6437
11.4%
4 4888
8.7%
1 4711
8.3%
8 4219
 
7.5%
5 2327
 
4.1%
6 2224
 
3.9%
7 1793
 
3.2%
Other values (2) 1494
 
2.6%

점검목적
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
위생점검(전체)
3640 
수거
1670 
<NA>
474 
위생점검(부분)
 
52

Length

Max length8
Median length8
Mean length5.9581905
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위생점검(전체) 3640
62.4%
수거 1670
28.6%
<NA> 474
 
8.1%
위생점검(부분) 52
 
0.9%

Length

2024-05-11T02:07:30.783809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:31.121022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위생점검(전체 3640
62.4%
수거 1670
28.6%
na 474
 
8.1%
위생점검(부분 52
 
0.9%

점검일자
Real number (ℝ)

Distinct305
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20143953
Minimum20040105
Maximum20240315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T02:07:31.493316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040105
5-th percentile20090623
Q120110314
median20140117
Q320171128
95-th percentile20210928
Maximum20240315
Range200210
Interquartile range (IQR)60814

Descriptive statistics

Standard deviation40885.161
Coefficient of variation (CV)0.0020296493
Kurtosis-0.78364962
Mean20143953
Median Absolute Deviation (MAD)30812
Skewness0.46544974
Sum1.1756011 × 1011
Variance1.6715964 × 109
MonotonicityNot monotonic
2024-05-11T02:07:32.014349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160623 547
 
9.4%
20150921 331
 
5.7%
20111215 103
 
1.8%
20101210 91
 
1.6%
20091207 83
 
1.4%
20101203 81
 
1.4%
20181207 76
 
1.3%
20101123 72
 
1.2%
20191121 67
 
1.1%
20150623 65
 
1.1%
Other values (295) 4320
74.0%
ValueCountFrequency (%)
20040105 1
 
< 0.1%
20040415 1
 
< 0.1%
20050408 1
 
< 0.1%
20050526 2
 
< 0.1%
20050602 1
 
< 0.1%
20080411 1
 
< 0.1%
20090108 27
0.5%
20090115 46
0.8%
20090205 12
 
0.2%
20090212 15
 
0.3%
ValueCountFrequency (%)
20240315 3
 
0.1%
20240304 2
 
< 0.1%
20240227 3
 
0.1%
20240119 2
 
< 0.1%
20240110 41
0.7%
20240108 35
0.6%
20231116 21
0.4%
20231024 2
 
< 0.1%
20231016 9
 
0.2%
20231012 2
 
< 0.1%

점검구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
수시
4614 
기타
507 
<NA>
466 
합동
 
163
일제
 
86

Length

Max length4
Median length2
Mean length2.1596984
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수시 4614
79.1%
기타 507
 
8.7%
<NA> 466
 
8.0%
합동 163
 
2.8%
일제 86
 
1.5%

Length

2024-05-11T02:07:32.486009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:32.858121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 4614
79.1%
기타 507
 
8.7%
na 466
 
8.0%
합동 163
 
2.8%
일제 86
 
1.5%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

점검결과코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
1
5300 
<NA>
 
466
2
 
70

Length

Max length4
Median length1
Mean length1.2395476
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5300
90.8%
<NA> 466
 
8.0%
2 70
 
1.2%

Length

2024-05-11T02:07:33.352801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:33.723892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5300
90.8%
na 466
 
8.0%
2 70
 
1.2%

(구)제조유통기한
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

(구)제조회사주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5835
Missing (%)> 99.9%
Memory size45.7 KiB
2024-05-11T02:07:34.006398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row먹는해양심층수
ValueCountFrequency (%)
먹는해양심층수 1
100.0%
2024-05-11T02:07:34.729482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
먹 1
14.3%
는 1
14.3%
해 1
14.3%
양 1
14.3%
심 1
14.3%
층 1
14.3%
수 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
먹 1
14.3%
는 1
14.3%
해 1
14.3%
양 1
14.3%
심 1
14.3%
층 1
14.3%
수 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
먹 1
14.3%
는 1
14.3%
해 1
14.3%
양 1
14.3%
심 1
14.3%
층 1
14.3%
수 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
먹 1
14.3%
는 1
14.3%
해 1
14.3%
양 1
14.3%
심 1
14.3%
층 1
14.3%
수 1
14.3%

부적합항목
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5835
Missing (%)> 99.9%
Memory size45.7 KiB
2024-05-11T02:07:35.044275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row금속성이물
ValueCountFrequency (%)
금속성이물 1
100.0%
2024-05-11T02:07:35.992009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
금 1
20.0%
속 1
20.0%
성 1
20.0%
이 1
20.0%
물 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 1
20.0%
속 1
20.0%
성 1
20.0%
이 1
20.0%
물 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 1
20.0%
속 1
20.0%
성 1
20.0%
이 1
20.0%
물 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
금 1
20.0%
속 1
20.0%
성 1
20.0%
이 1
20.0%
물 1
20.0%

기준치부적합내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5836
Missing (%)100.0%
Memory size51.4 KiB

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
03110000114기타식품판매업<NA><NA><NA><NA><NA><NA>이마트 에브리데이 불광점818000000음료류두유연세두유고소한아몬드잣두유<NA><NA><NA>210111234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063491<NA><NA><NA><NA><NA>서울특별시 은평구 불광로 60, (불광동,외 12필지 지하1층)서울특별시 은평구 불광동 554번지 1호 외 12필지 지하1층<NA>수거20101123기타<NA>1<NA><NA><NA><NA>
13110000105집단급식소<NA><NA><NA><NA>은평학교-3검사용서울연은초등학교G0100000100000조리식품 등조리식품 등총각김치(은평학교-3)<NA><NA><NA>202403151600g<NA>20240315<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240315<NA><NA><NA><NA><NA><NA><NA><NA>19990064115<NA><NA><NA><NA><NA>서울특별시 은평구 백련산로2길 35, 2층 (응암동)<NA>02 3022999위생점검(전체)20240315수시<NA>1<NA><NA><NA><NA>
23110000105집단급식소<NA><NA><NA><NA>은평학교-2검사용서울연은초등학교G0300000300000칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)도마(수산물)(은평학교-2)<NA><NA><NA>20240315<NA><NA><NA>2스왑20240315<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240315<NA><NA><NA><NA><NA><NA><NA><NA>19990064115<NA><NA><NA><NA><NA>서울특별시 은평구 백련산로2길 35, 2층 (응암동)<NA>02 3022999위생점검(전체)20240315수시<NA>1<NA><NA><NA><NA>
33110000105집단급식소<NA><NA><NA><NA>은평학교-1검사용서울연은초등학교G0300000300000칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)칼(수산물)(은평학교-1)<NA><NA><NA>20240315<NA><NA><NA>2 스왑20240315<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240315<NA><NA><NA><NA><NA><NA><NA><NA>19990064115<NA><NA><NA><NA><NA>서울특별시 은평구 백련산로2길 35, 2층 (응암동)<NA>02 3022999위생점검(전체)20240315수시<NA>1<NA><NA><NA><NA>
43110000114기타식품판매업<NA><NA><NA><NA>은평3-1검사용주)이마트은평점C0322020100000즉석섭취식품즉석섭취식품담백한 에그 포테이토 샐러드<NA><NA><NA>202403046110g<NA><NA><NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>120240305<NA><NA><NA><NA><NA><NA><NA><NA>20010063953<NA><NA><NA><NA><NA>서울특별시 은평구 은평로 111, 은평이마트 (응암동)서울특별시 은평구 응암동 90번지 1호 은평이마트02 3801234<NA>20240304<NA><NA><NA><NA><NA><NA><NA>
53110000114기타식품판매업<NA><NA><NA><NA>은평3-2검사용주)이마트은평점C0322020100000즉석섭취식품즉석섭취식품샌드위치 샐러드 감자<NA><NA><NA>202403046250g<NA><NA><NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>120240305<NA><NA><NA><NA><NA><NA><NA><NA>20010063953<NA><NA><NA><NA><NA>서울특별시 은평구 은평로 111, 은평이마트 (응암동)서울특별시 은평구 응암동 90번지 1호 은평이마트02 3801234<NA>20240304<NA><NA><NA><NA><NA><NA><NA>
63110000104휴게음식점<NA><NA><NA><NA>2024-02-27-1검사용매머드익스프레스 은평구청점G0200000200000자가제조얼음자가제조얼음제빙기얼음(2024-2-27-1)<NA><NA><NA>202402271600g<NA>20240227<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240227<NA><NA><NA><NA><NA><NA><NA><NA>20130063797<NA><NA><NA><NA><NA>서울특별시 은평구 은평로 193-2, (녹번동, 1층)서울특별시 은평구 녹번동 193번지 1층<NA>수거20240227수시<NA>1<NA><NA><NA><NA>
73110000101일반음식점<NA><NA><NA><NA>은평-2024-02-27기타라사천마라탕 은평점G0100000100000조리식품 등조리식품 등꿔바로우(은평 2024-02-27)<NA><NA><NA>202402271600g<NA>20240227<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>120240227<NA><NA><NA><NA><NA><NA><NA><NA>20210064307<NA><NA><NA><NA><NA>서울특별시 은평구 응암로 286, 성림빌딩 1층 (응암동)서울특별시 은평구 응암동 107번지 12호 성림빌딩<NA>위생점검(전체)20240227수시<NA>1<NA><NA><NA><NA>
83110000104휴게음식점<NA><NA><NA><NA>2024-02-27-2검사용빈티지204G0200000200000자가제조얼음자가제조얼음제빙기얼음(2024-02-27-2)<NA><NA><NA>202402271600g<NA>20240227<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240227<NA><NA><NA><NA><NA><NA><NA><NA>20160063196<NA><NA><NA><NA><NA>서울특별시 은평구 은평로 193-1, (녹번동, 1층)서울특별시 은평구 녹번동 204번지 1층<NA>수거20240227수시<NA>1<NA><NA><NA><NA>
93110000104휴게음식점<NA><NA><NA><NA>2024-01-19-2검사용얌이얌이G0100000100000조리식품 등조리식품 등김말이튀김(2024-01-19-2)<NA><NA><NA>202401191600g<NA><NA><NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>120240119<NA><NA><NA><NA><NA><NA><NA><NA>20170063124<NA><NA><NA><NA><NA>서울특별시 은평구 녹번로 9, (녹번동, 1층 중앙)서울특별시 은평구 녹번동 82번지 11호 1층 중앙<NA>위생점검(전체)20240119수시<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
58263110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-39검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(스낵과자)매운 새우깡<NA><NA><NA>200402132400g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58273110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-40검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(스낵과자)포스틱<NA><NA><NA>200402133270g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58283110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-45검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(쿠키)버터링<NA><NA><NA>200402132302g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58293110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-31검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(웨이퍼)후렌치파이<NA><NA><NA>200402133256g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58303110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-30검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(스낵과자)나쵸 토틸라칩<NA><NA><NA>200402132320g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58313110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-41검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(스낵과자)세이브 쌀과자<NA><NA><NA>200402133220g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58323110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-42검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(스낵과자)참쌀전병<NA><NA><NA>200402132315g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58333110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-43검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(스낵과자)프링글스 양파맛<NA><NA><NA>200402136110g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58343110000114기타식품판매업999<NA>2014년 가공식품 안전관리 지도점검 계획(공중위생팀)<NA>2-44검사용롯데쇼핑(주)롯데슈퍼갈현점801000000과자류과자(크래커)빠다코코넛<NA><NA><NA>200402132300g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, 지상1, 지상2층 (갈현동)서울특별시 은평구 갈현동 456번지 27호02 388 5601위생점검(전체)20140213수시<NA>1<NA><NA><NA><NA>
58353110000106식품제조가공업<NA><NA><NA><NA><NA><NA>수예당제과001<NA><NA>화과자, 양과자, 티타임, 만주<NA><NA><NA>20040105690<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000006300920040105690.00<NA><NA>서울특별시 은평구 서오릉로 71, (역촌동)서울특별시 은평구 역촌동 16번지 2호02-389-6431<NA>20040105일제<NA>2<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드업종코드업종명계획구분코드지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(제조일기준)보관상태코드바코드번호검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과수거품처리교부번호폐기일자폐기량(Kg)폐기금액(원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조회사주소부적합항목# duplicates
53110000105집단급식소<NA><NA><NA><NA><NA>충암고등학교<NA><NA>정수기<NA><NA><NA>200905251<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>19990063786<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 산 9번지 1호02 3022314위생점검(전체)20090525기타2<NA><NA>13
73110000114기타식품판매업<NA><NA><NA><NA><NA>(주)이천일아울렛불광점킴스클럽802000000빵또는떡류떡류재래식전통떡국<NA><NA><NA>201002053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국외<NA><NA><NA><NA><NA><NA><NA>20070063139<NA><NA><NA><NA><NA>서울특별시 은평구 불광로 20, (대조동,지하2층 2BHC-001)서울특별시 은평구 대조동 240번지 지하2층 2BHC-0010234172001수거20100205수시1<NA><NA>3
113110000114기타식품판매업<NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼갈현점829000000기타식품류견과류가공품깐호두<NA><NA><NA>200909173<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20090063335<NA><NA><NA><NA><NA>서울특별시 은평구 연서로 215, (갈현동,지상1층, 지상2층)서울특별시 은평구 갈현동 456번지 27호 지상1층, 지상2층02 388 5601위생점검(전체)20090917수시1<NA><NA>3
123110000114기타식품판매업<NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼범서점<NA><NA><NA><NA><NA>200902051<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20040063730<NA><NA><NA><NA><NA>서울특별시 은평구 통일로 842, (불광동,외3필지)서울특별시 은평구 불광동 308번지 1호 외3필지0203828654위생점검(전체)20090205수시1<NA><NA>3
03110000101일반음식점<NA><NA><NA><NA><NA>보길도<NA><NA>음용수<NA><NA><NA>200901081<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>19970063926<NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 83번지 18호 (지상1,2,3층)02 3872220위생점검(전체)20090108수시2<NA><NA>2
13110000101일반음식점<NA><NA><NA><NA><NA>보길도<NA><NA>종사자손검체<NA><NA><NA>200901081<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>19970063926<NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 83번지 18호 (지상1,2,3층)02 3872220위생점검(전체)20090108수시2<NA><NA>2
23110000105집단급식소<NA><NA><NA><NA><NA>충암고등학교<NA><NA>보존식(5월18일)<NA><NA><NA>200905211<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>19990063786<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 산 9번지 1호02 3022314위생점검(전체)20090521수시1<NA><NA>2
33110000105집단급식소<NA><NA><NA><NA><NA>충암고등학교<NA><NA>보존식(5월19일)<NA><NA><NA>200905211<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>19990063786<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 산 9번지 1호02 3022314위생점검(전체)20090521수시1<NA><NA>2
43110000105집단급식소<NA><NA><NA><NA><NA>충암고등학교<NA><NA>보존식(5월20일)<NA><NA><NA>200905211<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>19990063786<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 산 9번지 1호02 3022314위생점검(전체)20090521수시1<NA><NA>2
63110000112식품자동판매기영업7식품자동판매기 지도점검 계획<NA>은평10-15검사용신성슈퍼C01000000<NA>액상차밀크커피<NA><NA><NA>201510061250ML<NA>20151006<NA><NA>실온<NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA>20050063731<NA><NA><NA><NA><NA>서울특별시 은평구 불광로14길 4, (불광동)서울특별시 은평구 불광동 13번지 7호02384 8162위생점검(전체)20151104수시1<NA><NA>2