Overview

Dataset statistics

Number of variables61
Number of observations5276
Missing cells107887
Missing cells (%)33.5%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory2.6 MiB
Average record size in memory515.0 B

Variable types

Categorical25
Numeric11
Unsupported7
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(천원),폐기장소,폐기방법,소재지(도로명),소재지(지번),업소전화번호,점검목적,점검일자,점검구분,점검내용,점검결과코드,(구)제조유통기한,(구)제조회사주소,부적합항목,기준치부적합내용
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-2382/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
수거계획 is highly imbalanced (66.1%)Imbalance
수거사유코드 is highly imbalanced (65.4%)Imbalance
음식물명 is highly imbalanced (97.5%)Imbalance
제조일자(롯트) is highly imbalanced (94.2%)Imbalance
국가명 is highly imbalanced (83.7%)Imbalance
처리결과 is highly imbalanced (97.5%)Imbalance
수거품처리 is highly imbalanced (98.8%)Imbalance
폐기일자 is highly imbalanced (99.3%)Imbalance
폐기량(kg) is highly imbalanced (99.5%)Imbalance
폐기금액(천원) is highly imbalanced (99.3%)Imbalance
폐기장소 is highly imbalanced (99.3%)Imbalance
폐기방법 is highly imbalanced (99.2%)Imbalance
계획구분명 has 5276 (100.0%) missing valuesMissing
수거증번호 has 601 (11.4%) missing valuesMissing
식품군코드 has 255 (4.8%) missing valuesMissing
식품군 has 782 (14.8%) missing valuesMissing
품목명 has 209 (4.0%) missing valuesMissing
원료명 has 5265 (99.8%) missing valuesMissing
생산업소 has 4852 (92.0%) missing valuesMissing
수거량(정량) has 186 (3.5%) missing valuesMissing
제품규격(정량) has 787 (14.9%) missing valuesMissing
수거량(자유) has 5090 (96.5%) missing valuesMissing
제조일자(일자) has 3553 (67.3%) missing valuesMissing
유통기한(일자) has 5119 (97.0%) missing valuesMissing
유통기한(제조일기준) has 5209 (98.7%) missing valuesMissing
바코드번호 has 5276 (100.0%) missing valuesMissing
어린이기호식품유형 has 5273 (99.9%) missing valuesMissing
(구)제조사명 has 4405 (83.5%) missing valuesMissing
검사의뢰일자 has 2630 (49.8%) missing valuesMissing
결과회보일자 has 3688 (69.9%) missing valuesMissing
처리구분 has 5276 (100.0%) missing valuesMissing
수거검사구분코드 has 5276 (100.0%) missing valuesMissing
단속지역구분코드 has 5276 (100.0%) missing valuesMissing
수거장소구분코드 has 5276 (100.0%) missing valuesMissing
소재지(도로명) has 1917 (36.3%) missing valuesMissing
소재지(지번) has 232 (4.4%) missing valuesMissing
업소전화번호 has 489 (9.3%) missing valuesMissing
점검내용 has 5276 (100.0%) missing valuesMissing
(구)제조유통기한 has 5119 (97.0%) missing valuesMissing
(구)제조회사주소 has 4770 (90.4%) missing valuesMissing
부적합항목 has 5263 (99.8%) missing valuesMissing
기준치부적합내용 has 5261 (99.7%) missing valuesMissing
수거량(정량) is highly skewed (γ1 = 61.79465809)Skewed
계획구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
바코드번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
처리구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거검사구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단속지역구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거장소구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 00:13:21.818097
Analysis finished2024-05-11 00:13:27.288963
Duration5.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
3120000
5276 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 5276
100.0%

Length

2024-05-11T00:13:27.475852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:13:27.762165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 5276
100.0%

업종코드
Real number (ℝ)

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.26422
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:13:28.085424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1106
median114
Q3114
95-th percentile114
Maximum134
Range33
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.6838623
Coefficient of variation (CV)0.05108437
Kurtosis1.9593934
Mean111.26422
Median Absolute Deviation (MAD)0
Skewness0.07152206
Sum587030
Variance32.306291
MonotonicityNot monotonic
2024-05-11T00:13:28.335388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
114 3366
63.8%
101 620
 
11.8%
105 494
 
9.4%
107 179
 
3.4%
104 177
 
3.4%
112 148
 
2.8%
106 89
 
1.7%
134 67
 
1.3%
120 63
 
1.2%
121 61
 
1.2%
Other values (3) 12
 
0.2%
ValueCountFrequency (%)
101 620
 
11.8%
104 177
 
3.4%
105 494
 
9.4%
106 89
 
1.7%
107 179
 
3.4%
109 6
 
0.1%
110 5
 
0.1%
112 148
 
2.8%
114 3366
63.8%
120 63
 
1.2%
ValueCountFrequency (%)
134 67
 
1.3%
122 1
 
< 0.1%
121 61
 
1.2%
120 63
 
1.2%
114 3366
63.8%
112 148
 
2.8%
110 5
 
0.1%
109 6
 
0.1%
107 179
 
3.4%
106 89
 
1.7%

업종명
Categorical

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
기타식품판매업
3366 
일반음식점
620 
집단급식소
494 
즉석판매제조가공업
 
179
휴게음식점
 
177
Other values (8)
440 

Length

Max length11
Median length7
Mean length6.6504928
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 3366
63.8%
일반음식점 620
 
11.8%
집단급식소 494
 
9.4%
즉석판매제조가공업 179
 
3.4%
휴게음식점 177
 
3.4%
식품자동판매기영업 148
 
2.8%
식품제조가공업 89
 
1.7%
건강기능식품일반판매업 67
 
1.3%
위탁급식영업 63
 
1.2%
제과점영업 61
 
1.2%
Other values (3) 12
 
0.2%

Length

2024-05-11T00:13:28.716693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 3366
63.7%
일반음식점 620
 
11.7%
집단급식소 494
 
9.4%
즉석판매제조가공업 179
 
3.4%
휴게음식점 177
 
3.4%
식품자동판매기영업 148
 
2.8%
식품제조가공업 89
 
1.7%
건강기능식품일반판매업 67
 
1.3%
위탁급식영업 63
 
1.2%
제과점영업 61
 
1.2%
Other values (4) 17
 
0.3%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
2655 
999
2090 
7
 
252
1
 
154
2
 
121

Length

Max length4
Median length4
Mean length3.3019333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999
2nd row999
3rd row999
4th row999
5th row999

Common Values

ValueCountFrequency (%)
<NA> 2655
50.3%
999 2090
39.6%
7 252
 
4.8%
1 154
 
2.9%
2 121
 
2.3%
3 4
 
0.1%

Length

2024-05-11T00:13:29.125556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:13:29.461722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2655
50.3%
999 2090
39.6%
7 252
 
4.8%
1 154
 
2.9%
2 121
 
2.3%
3 4
 
0.1%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5276
Missing (%)100.0%
Memory size46.5 KiB
Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
2655 
2021년 유통식품 수거검사
305 
2017년 서대문구 가공식품 안전관리 계획
 
263
유통식품 수거검사강화
 
207
식품제조판매업소 지도점검
 
190
Other values (41)
1656 

Length

Max length33
Median length4
Mean length10.800227
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row식품제조판매업소 지도점검
2nd row식품제조판매업소 지도점검
3rd row식품제조판매업소 지도점검
4th row식품제조판매업소 지도점검
5th row식품제조판매업소 지도점검

Common Values

ValueCountFrequency (%)
<NA> 2655
50.3%
2021년 유통식품 수거검사 305
 
5.8%
2017년 서대문구 가공식품 안전관리 계획 263
 
5.0%
유통식품 수거검사강화 207
 
3.9%
식품제조판매업소 지도점검 190
 
3.6%
2016년 가공식품 안전관리계획 190
 
3.6%
유통식품수거 강화 179
 
3.4%
2020년 유통식품 수거 및 검사 계획 169
 
3.2%
2018년 식품 제조ㆍ유통 등 안전관리 계획 156
 
3.0%
부정불량식품 지도점검 103
 
2.0%
Other values (36) 859
 
16.3%

Length

2024-05-11T00:13:29.795265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2655
21.5%
계획 880
 
7.1%
지도점검 721
 
5.8%
유통식품 681
 
5.5%
가공식품 476
 
3.8%
안전관리 442
 
3.6%
2017년 352
 
2.8%
식품접객업소 319
 
2.6%
수거검사 305
 
2.5%
2021년 305
 
2.5%
Other values (73) 5232
42.3%

수거계획
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
4289 
2013년 유통식품수거검사 계획
 
216
2018 다소비식품 수거검사
 
157
2015년 유통식품 수거검사 계획
 
120
2014년 유통식품 수거 검사 계획
 
114
Other values (9)
 
380

Length

Max length28
Median length4
Mean length6.6702047
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4289
81.3%
2013년 유통식품수거검사 계획 216
 
4.1%
2018 다소비식품 수거검사 157
 
3.0%
2015년 유통식품 수거검사 계획 120
 
2.3%
2014년 유통식품 수거 검사 계획 114
 
2.2%
2015년 식중독 예방 등 수거검사 계획 87
 
1.6%
2016년 가공식품 안전관리 계획 80
 
1.5%
2016 조리식품 수거검사 계획 76
 
1.4%
2019년 조리식품 및 식품자동판매기 다류 수거검사 70
 
1.3%
2019 다소비식품 수거검사 34
 
0.6%
Other values (4) 33
 
0.6%

Length

2024-05-11T00:13:30.203765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4289
52.0%
계획 693
 
8.4%
수거검사 568
 
6.9%
유통식품 234
 
2.8%
유통식품수거검사 216
 
2.6%
2013년 216
 
2.6%
2015년 207
 
2.5%
다소비식품 191
 
2.3%
조리식품 163
 
2.0%
2018 157
 
1.9%
Other values (22) 1313
 
15.9%

수거증번호
Text

MISSING 

Distinct3016
Distinct (%)64.5%
Missing601
Missing (%)11.4%
Memory size41.3 KiB
2024-05-11T00:13:30.821599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.524492
Min length1

Characters and Unicode

Total characters25827
Distinct characters102
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2058 ?
Unique (%)44.0%

Sample

1st row서-3-10
2nd row서-3-5
3rd row서-3-6
4th row서-3-7
5th row서-3-8
ValueCountFrequency (%)
88
 
1.8%
청소년 14
 
0.3%
2015식품 9
 
0.2%
6-2 6
 
0.1%
6-1 6
 
0.1%
3-4 6
 
0.1%
6-5 6
 
0.1%
6-3 6
 
0.1%
1-15 5
 
0.1%
11-5 5
 
0.1%
Other values (2904) 4649
96.9%
2024-05-11T00:13:31.920562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6360
24.6%
1 3887
15.1%
2 2270
 
8.8%
1518
 
5.9%
3 1407
 
5.4%
4 1305
 
5.1%
0 1269
 
4.9%
6 1140
 
4.4%
5 1126
 
4.4%
9 883
 
3.4%
Other values (92) 4662
18.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14796
57.3%
Dash Punctuation 6360
24.6%
Other Letter 4457
 
17.3%
Space Separator 125
 
0.5%
Uppercase Letter 72
 
0.3%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1518
34.1%
247
 
5.5%
247
 
5.5%
240
 
5.4%
223
 
5.0%
223
 
5.0%
205
 
4.6%
196
 
4.4%
168
 
3.8%
100
 
2.2%
Other values (73) 1090
24.5%
Decimal Number
ValueCountFrequency (%)
1 3887
26.3%
2 2270
15.3%
3 1407
 
9.5%
4 1305
 
8.8%
0 1269
 
8.6%
6 1140
 
7.7%
5 1126
 
7.6%
9 883
 
6.0%
7 764
 
5.2%
8 745
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
M 24
33.3%
G 24
33.3%
O 24
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 6360
100.0%
Space Separator
ValueCountFrequency (%)
125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21298
82.5%
Hangul 4457
 
17.3%
Latin 72
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1518
34.1%
247
 
5.5%
247
 
5.5%
240
 
5.4%
223
 
5.0%
223
 
5.0%
205
 
4.6%
196
 
4.4%
168
 
3.8%
100
 
2.2%
Other values (73) 1090
24.5%
Common
ValueCountFrequency (%)
- 6360
29.9%
1 3887
18.3%
2 2270
 
10.7%
3 1407
 
6.6%
4 1305
 
6.1%
0 1269
 
6.0%
6 1140
 
5.4%
5 1126
 
5.3%
9 883
 
4.1%
7 764
 
3.6%
Other values (6) 887
 
4.2%
Latin
ValueCountFrequency (%)
M 24
33.3%
G 24
33.3%
O 24
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21370
82.7%
Hangul 4357
 
16.9%
Compat Jamo 100
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6360
29.8%
1 3887
18.2%
2 2270
 
10.6%
3 1407
 
6.6%
4 1305
 
6.1%
0 1269
 
5.9%
6 1140
 
5.3%
5 1126
 
5.3%
9 883
 
4.1%
7 764
 
3.6%
Other values (9) 959
 
4.5%
Hangul
ValueCountFrequency (%)
1518
34.8%
247
 
5.7%
247
 
5.7%
240
 
5.5%
223
 
5.1%
223
 
5.1%
205
 
4.7%
196
 
4.5%
168
 
3.9%
89
 
2.0%
Other values (72) 1001
23.0%
Compat Jamo
ValueCountFrequency (%)
100
100.0%

수거사유코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
검사용
4089 
<NA>
1166 
증거용
 
11
기타
 
7
압류
 
3

Length

Max length4
Median length3
Mean length3.2191054
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 4089
77.5%
<NA> 1166
 
22.1%
증거용 11
 
0.2%
기타 7
 
0.1%
압류 3
 
0.1%

Length

2024-05-11T00:13:32.428845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:13:32.773282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 4089
77.5%
na 1166
 
22.1%
증거용 11
 
0.2%
기타 7
 
0.1%
압류 3
 
0.1%
Distinct514
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
2024-05-11T00:13:33.245082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length7.8468537
Min length1

Characters and Unicode

Total characters41400
Distinct characters423
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)4.1%

Sample

1st row롯데슈퍼 유진점
2nd row롯데슈퍼 유진점
3rd row롯데슈퍼 유진점
4th row롯데슈퍼 유진점
5th row롯데슈퍼 유진점
ValueCountFrequency (%)
유진점 656
 
9.9%
주)사러가 608
 
9.2%
롯데슈퍼 522
 
7.9%
굿모닝마트 336
 
5.1%
주)주양쇼핑 331
 
5.0%
주)지에스리테일북가좌점 238
 
3.6%
현대백화점신촌점(기타식품 201
 
3.0%
진로식자재마트 175
 
2.6%
하나마트 118
 
1.8%
홍제점 114
 
1.7%
Other values (554) 3312
50.1%
2024-05-11T00:13:34.233515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2054
 
5.0%
( 2045
 
4.9%
) 2045
 
4.9%
2014
 
4.9%
1387
 
3.4%
1345
 
3.2%
1336
 
3.2%
979
 
2.4%
851
 
2.1%
850
 
2.1%
Other values (413) 26494
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35663
86.1%
Open Punctuation 2045
 
4.9%
Close Punctuation 2045
 
4.9%
Space Separator 1336
 
3.2%
Decimal Number 204
 
0.5%
Lowercase Letter 53
 
0.1%
Uppercase Letter 53
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2054
 
5.8%
2014
 
5.6%
1387
 
3.9%
1345
 
3.8%
979
 
2.7%
851
 
2.4%
850
 
2.4%
844
 
2.4%
824
 
2.3%
748
 
2.1%
Other values (388) 23767
66.6%
Uppercase Letter
ValueCountFrequency (%)
C 12
22.6%
W 10
18.9%
T 7
13.2%
D 6
11.3%
E 6
11.3%
F 4
 
7.5%
U 2
 
3.8%
A 2
 
3.8%
M 1
 
1.9%
K 1
 
1.9%
Other values (2) 2
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 158
77.5%
6 15
 
7.4%
1 11
 
5.4%
9 7
 
3.4%
4 4
 
2.0%
7 4
 
2.0%
3 3
 
1.5%
5 2
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 2045
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2045
100.0%
Space Separator
ValueCountFrequency (%)
1336
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 53
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35661
86.1%
Common 5631
 
13.6%
Latin 106
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2054
 
5.8%
2014
 
5.6%
1387
 
3.9%
1345
 
3.8%
979
 
2.7%
851
 
2.4%
850
 
2.4%
844
 
2.4%
824
 
2.3%
748
 
2.1%
Other values (386) 23765
66.6%
Latin
ValueCountFrequency (%)
e 53
50.0%
C 12
 
11.3%
W 10
 
9.4%
T 7
 
6.6%
D 6
 
5.7%
E 6
 
5.7%
F 4
 
3.8%
U 2
 
1.9%
A 2
 
1.9%
M 1
 
0.9%
Other values (3) 3
 
2.8%
Common
ValueCountFrequency (%)
( 2045
36.3%
) 2045
36.3%
1336
23.7%
2 158
 
2.8%
6 15
 
0.3%
1 11
 
0.2%
9 7
 
0.1%
4 4
 
0.1%
7 4
 
0.1%
3 3
 
0.1%
Other values (2) 3
 
0.1%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35661
86.1%
ASCII 5737
 
13.9%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2054
 
5.8%
2014
 
5.6%
1387
 
3.9%
1345
 
3.8%
979
 
2.7%
851
 
2.4%
850
 
2.4%
844
 
2.4%
824
 
2.3%
748
 
2.1%
Other values (386) 23765
66.6%
ASCII
ValueCountFrequency (%)
( 2045
35.6%
) 2045
35.6%
1336
23.3%
2 158
 
2.8%
e 53
 
0.9%
6 15
 
0.3%
C 12
 
0.2%
1 11
 
0.2%
W 10
 
0.2%
9 7
 
0.1%
Other values (15) 45
 
0.8%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

식품군코드
Text

MISSING 

Distinct405
Distinct (%)8.1%
Missing255
Missing (%)4.8%
Memory size41.3 KiB
2024-05-11T00:13:34.788718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length11.472615
Min length1

Characters and Unicode

Total characters57604
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

Unique129 ?
Unique (%)2.6%

Sample

1st rowC0309020000000
2nd rowC0315030200000
3rd rowC0309020000000
4th rowC0315030200000
5th rowC0315030200000
ValueCountFrequency (%)
g0100000100000 418
 
8.7%
830000000 235
 
4.9%
801000000 220
 
4.6%
829000000 173
 
3.6%
600000000 159
 
3.3%
g01000000 154
 
3.2%
818000000 143
 
3.0%
821000000 122
 
2.5%
803000000 109
 
2.3%
c01000000 101
 
2.1%
Other values (393) 2970
61.8%
2024-05-11T00:13:35.723796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39304
68.2%
1 5106
 
8.9%
2 2295
 
4.0%
8 2156
 
3.7%
3 2008
 
3.5%
C 1876
 
3.3%
1553
 
2.7%
9 686
 
1.2%
G 680
 
1.2%
6 464
 
0.8%
Other values (11) 1476
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53169
92.3%
Uppercase Letter 2882
 
5.0%
Space Separator 1553
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39304
73.9%
1 5106
 
9.6%
2 2295
 
4.3%
8 2156
 
4.1%
3 2008
 
3.8%
9 686
 
1.3%
6 464
 
0.9%
5 429
 
0.8%
4 399
 
0.8%
7 322
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 1876
65.1%
G 680
 
23.6%
A 103
 
3.6%
X 78
 
2.7%
B 76
 
2.6%
E 49
 
1.7%
F 7
 
0.2%
Z 6
 
0.2%
D 4
 
0.1%
H 3
 
0.1%
Space Separator
ValueCountFrequency (%)
1553
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54722
95.0%
Latin 2882
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39304
71.8%
1 5106
 
9.3%
2 2295
 
4.2%
8 2156
 
3.9%
3 2008
 
3.7%
1553
 
2.8%
9 686
 
1.3%
6 464
 
0.8%
5 429
 
0.8%
4 399
 
0.7%
Latin
ValueCountFrequency (%)
C 1876
65.1%
G 680
 
23.6%
A 103
 
3.6%
X 78
 
2.7%
B 76
 
2.6%
E 49
 
1.7%
F 7
 
0.2%
Z 6
 
0.2%
D 4
 
0.1%
H 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39304
68.2%
1 5106
 
8.9%
2 2295
 
4.0%
8 2156
 
3.7%
3 2008
 
3.5%
C 1876
 
3.3%
1553
 
2.7%
9 686
 
1.2%
G 680
 
1.2%
6 464
 
0.8%
Other values (11) 1476
 
2.6%

식품군
Text

MISSING 

Distinct315
Distinct (%)7.0%
Missing782
Missing (%)14.8%
Memory size41.3 KiB
2024-05-11T00:13:36.280346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length17
Mean length5.5838896
Min length1

Characters and Unicode

Total characters25094
Distinct characters305
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

Unique101 ?
Unique (%)2.2%

Sample

1st row커피
2nd row땅콩 또는 견과류가공품
3rd row커피
4th row땅콩 또는 견과류가공품
5th row땅콩 또는 견과류가공품
ValueCountFrequency (%)
479
 
7.9%
조리식품 418
 
6.9%
과자류 236
 
3.9%
규격외일반가공식품 235
 
3.9%
기타식품류 186
 
3.1%
과자 162
 
2.7%
식품접객업 159
 
2.6%
음료류 156
 
2.6%
조미식품 153
 
2.5%
코코아가공품류또는초콜릿류 109
 
1.8%
Other values (333) 3795
62.3%
2024-05-11T00:13:37.248704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2026
 
8.1%
1945
 
7.8%
1596
 
6.4%
1594
 
6.4%
1054
 
4.2%
889
 
3.5%
778
 
3.1%
594
 
2.4%
507
 
2.0%
483
 
1.9%
Other values (295) 13628
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22979
91.6%
Space Separator 1594
 
6.4%
Other Punctuation 319
 
1.3%
Open Punctuation 94
 
0.4%
Close Punctuation 94
 
0.4%
Uppercase Letter 10
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2026
 
8.8%
1945
 
8.5%
1596
 
6.9%
1054
 
4.6%
889
 
3.9%
778
 
3.4%
594
 
2.6%
507
 
2.2%
483
 
2.1%
481
 
2.1%
Other values (282) 12626
54.9%
Uppercase Letter
ValueCountFrequency (%)
C 7
70.0%
B 1
 
10.0%
L 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 194
60.8%
. 113
35.4%
/ 12
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
1594
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22979
91.6%
Common 2105
 
8.4%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2026
 
8.8%
1945
 
8.5%
1596
 
6.9%
1054
 
4.6%
889
 
3.9%
778
 
3.4%
594
 
2.6%
507
 
2.2%
483
 
2.1%
481
 
2.1%
Other values (282) 12626
54.9%
Common
ValueCountFrequency (%)
1594
75.7%
, 194
 
9.2%
. 113
 
5.4%
( 94
 
4.5%
) 94
 
4.5%
/ 12
 
0.6%
- 2
 
0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
Latin
ValueCountFrequency (%)
C 7
70.0%
B 1
 
10.0%
L 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22979
91.6%
ASCII 2115
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2026
 
8.8%
1945
 
8.5%
1596
 
6.9%
1054
 
4.6%
889
 
3.9%
778
 
3.4%
594
 
2.6%
507
 
2.2%
483
 
2.1%
481
 
2.1%
Other values (282) 12626
54.9%
ASCII
ValueCountFrequency (%)
1594
75.4%
, 194
 
9.2%
. 113
 
5.3%
( 94
 
4.4%
) 94
 
4.4%
/ 12
 
0.6%
C 7
 
0.3%
- 2
 
0.1%
B 1
 
< 0.1%
1 1
 
< 0.1%
Other values (3) 3
 
0.1%

품목명
Text

MISSING 

Distinct379
Distinct (%)7.5%
Missing209
Missing (%)4.0%
Memory size41.3 KiB
2024-05-11T00:13:37.850297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length17
Mean length5.4543122
Min length1

Characters and Unicode

Total characters27637
Distinct characters328
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

Unique113 ?
Unique (%)2.2%

Sample

1st row커피
2nd row땅콩 또는 견과류가공품
3rd row커피
4th row땅콩 또는 견과류가공품
5th row땅콩 또는 견과류가공품
ValueCountFrequency (%)
853
 
11.8%
조리식품 841
 
11.6%
과자 259
 
3.6%
수산물가공품 159
 
2.2%
곡류가공품 128
 
1.8%
기타가공품 128
 
1.8%
기타 123
 
1.7%
초콜릿가공품 119
 
1.6%
즉석조리식품 111
 
1.5%
떡류 103
 
1.4%
Other values (397) 4414
61.0%
2024-05-11T00:13:38.793260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2171
 
7.9%
1948
 
7.0%
1430
 
5.2%
1293
 
4.7%
1068
 
3.9%
1033
 
3.7%
1014
 
3.7%
905
 
3.3%
828
 
3.0%
758
 
2.7%
Other values (318) 15189
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24573
88.9%
Space Separator 2171
 
7.9%
Other Punctuation 411
 
1.5%
Close Punctuation 231
 
0.8%
Open Punctuation 231
 
0.8%
Uppercase Letter 16
 
0.1%
Dash Punctuation 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1948
 
7.9%
1430
 
5.8%
1293
 
5.3%
1068
 
4.3%
1033
 
4.2%
1014
 
4.1%
905
 
3.7%
828
 
3.4%
758
 
3.1%
481
 
2.0%
Other values (301) 13815
56.2%
Uppercase Letter
ValueCountFrequency (%)
C 7
43.8%
D 2
 
12.5%
A 2
 
12.5%
L 1
 
6.2%
B 1
 
6.2%
E 1
 
6.2%
P 1
 
6.2%
H 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 213
51.8%
. 186
45.3%
/ 12
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
2171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24573
88.9%
Common 3048
 
11.0%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1948
 
7.9%
1430
 
5.8%
1293
 
5.3%
1068
 
4.3%
1033
 
4.2%
1014
 
4.1%
905
 
3.7%
828
 
3.4%
758
 
3.1%
481
 
2.0%
Other values (301) 13815
56.2%
Common
ValueCountFrequency (%)
2171
71.2%
) 231
 
7.6%
( 231
 
7.6%
, 213
 
7.0%
. 186
 
6.1%
/ 12
 
0.4%
- 2
 
0.1%
1 1
 
< 0.1%
3 1
 
< 0.1%
Latin
ValueCountFrequency (%)
C 7
43.8%
D 2
 
12.5%
A 2
 
12.5%
L 1
 
6.2%
B 1
 
6.2%
E 1
 
6.2%
P 1
 
6.2%
H 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24573
88.9%
ASCII 3064
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2171
70.9%
) 231
 
7.5%
( 231
 
7.5%
, 213
 
7.0%
. 186
 
6.1%
/ 12
 
0.4%
C 7
 
0.2%
D 2
 
0.1%
A 2
 
0.1%
- 2
 
0.1%
Other values (7) 7
 
0.2%
Hangul
ValueCountFrequency (%)
1948
 
7.9%
1430
 
5.8%
1293
 
5.3%
1068
 
4.3%
1033
 
4.2%
1014
 
4.1%
905
 
3.7%
828
 
3.4%
758
 
3.1%
481
 
2.0%
Other values (301) 13815
56.2%
Distinct3592
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
2024-05-11T00:13:39.460004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length44
Mean length6.4992418
Min length1

Characters and Unicode

Total characters34290
Distinct characters878
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2929 ?
Unique (%)55.5%

Sample

1st row콜롬비아 수프레모
2nd row카라멜솔티드아몬드앤프레첼
3rd row지세븐 커피
4th row간식견과
5th row허니버터아몬드
ValueCountFrequency (%)
등심 71
 
1.0%
68
 
0.9%
친환경 65
 
0.9%
한우 49
 
0.7%
커피 42
 
0.6%
도마 40
 
0.5%
청정원 35
 
0.5%
35
 
0.5%
차돌박이 31
 
0.4%
밀크커피 27
 
0.4%
Other values (4116) 6873
93.7%
2024-05-11T00:13:40.711122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2068
 
6.0%
713
 
2.1%
573
 
1.7%
526
 
1.5%
497
 
1.4%
432
 
1.3%
425
 
1.2%
389
 
1.1%
345
 
1.0%
321
 
0.9%
Other values (868) 28001
81.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29614
86.4%
Space Separator 2068
 
6.0%
Uppercase Letter 1316
 
3.8%
Decimal Number 333
 
1.0%
Open Punctuation 269
 
0.8%
Close Punctuation 268
 
0.8%
Lowercase Letter 259
 
0.8%
Other Punctuation 127
 
0.4%
Dash Punctuation 22
 
0.1%
Math Symbol 9
 
< 0.1%
Other values (5) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
713
 
2.4%
573
 
1.9%
526
 
1.8%
497
 
1.7%
432
 
1.5%
425
 
1.4%
389
 
1.3%
345
 
1.2%
321
 
1.1%
312
 
1.1%
Other values (786) 25081
84.7%
Uppercase Letter
ValueCountFrequency (%)
E 140
 
10.6%
I 110
 
8.4%
C 108
 
8.2%
A 106
 
8.1%
O 101
 
7.7%
R 78
 
5.9%
L 77
 
5.9%
S 74
 
5.6%
N 70
 
5.3%
T 70
 
5.3%
Other values (16) 382
29.0%
Lowercase Letter
ValueCountFrequency (%)
i 27
 
10.4%
e 27
 
10.4%
a 26
 
10.0%
m 21
 
8.1%
o 20
 
7.7%
n 15
 
5.8%
u 14
 
5.4%
p 12
 
4.6%
x 12
 
4.6%
t 11
 
4.2%
Other values (16) 74
28.6%
Decimal Number
ValueCountFrequency (%)
0 88
26.4%
1 72
21.6%
2 63
18.9%
3 35
 
10.5%
5 28
 
8.4%
7 13
 
3.9%
8 12
 
3.6%
6 10
 
3.0%
4 7
 
2.1%
9 5
 
1.5%
Other Punctuation
ValueCountFrequency (%)
& 34
26.8%
, 20
15.7%
. 18
14.2%
; 15
11.8%
13
 
10.2%
% 10
 
7.9%
/ 7
 
5.5%
' 6
 
4.7%
! 3
 
2.4%
? 1
 
0.8%
Space Separator
ValueCountFrequency (%)
2068
100.0%
Open Punctuation
ValueCountFrequency (%)
( 269
100.0%
Close Punctuation
ValueCountFrequency (%)
) 268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29602
86.3%
Common 3099
 
9.0%
Latin 1576
 
4.6%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
713
 
2.4%
573
 
1.9%
526
 
1.8%
497
 
1.7%
432
 
1.5%
425
 
1.4%
389
 
1.3%
345
 
1.2%
321
 
1.1%
312
 
1.1%
Other values (778) 25069
84.7%
Latin
ValueCountFrequency (%)
E 140
 
8.9%
I 110
 
7.0%
C 108
 
6.9%
A 106
 
6.7%
O 101
 
6.4%
R 78
 
4.9%
L 77
 
4.9%
S 74
 
4.7%
N 70
 
4.4%
T 70
 
4.4%
Other values (43) 642
40.7%
Common
ValueCountFrequency (%)
2068
66.7%
( 269
 
8.7%
) 268
 
8.6%
0 88
 
2.8%
1 72
 
2.3%
2 63
 
2.0%
3 35
 
1.1%
& 34
 
1.1%
5 28
 
0.9%
- 22
 
0.7%
Other values (18) 152
 
4.9%
Han
ValueCountFrequency (%)
2
15.4%
2
15.4%
2
15.4%
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29600
86.3%
ASCII 4660
 
13.6%
None 14
 
< 0.1%
CJK 13
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2068
44.4%
( 269
 
5.8%
) 268
 
5.8%
E 140
 
3.0%
I 110
 
2.4%
C 108
 
2.3%
A 106
 
2.3%
O 101
 
2.2%
0 88
 
1.9%
R 78
 
1.7%
Other values (68) 1324
28.4%
Hangul
ValueCountFrequency (%)
713
 
2.4%
573
 
1.9%
526
 
1.8%
497
 
1.7%
432
 
1.5%
425
 
1.4%
389
 
1.3%
345
 
1.2%
321
 
1.1%
312
 
1.1%
Other values (776) 25067
84.7%
None
ValueCountFrequency (%)
13
92.9%
1
 
7.1%
CJK
ValueCountFrequency (%)
2
15.4%
2
15.4%
2
15.4%
2
15.4%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
1
7.7%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%

음식물명
Categorical

IMBALANCE 

Distinct21
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5226 
커피
 
17
율무차
 
9
케?
 
3
패스츄리
 
3
Other values (16)
 
18

Length

Max length5
Median length4
Mean length3.9878696
Min length2

Unique

Unique15 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5226
99.1%
커피 17
 
0.3%
율무차 9
 
0.2%
케? 3
 
0.1%
패스츄리 3
 
0.1%
쿠키 3
 
0.1%
정수기물 1
 
< 0.1%
아메리카노 1
 
< 0.1%
단과자 1
 
< 0.1%
식빵 1
 
< 0.1%
Other values (11) 11
 
0.2%

Length

2024-05-11T00:13:41.159640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5226
99.1%
커피 17
 
0.3%
율무차 9
 
0.2%
케? 3
 
0.1%
패스츄리 3
 
0.1%
쿠키 3
 
0.1%
포기김치 1
 
< 0.1%
햄버거 1
 
< 0.1%
불고기 1
 
< 0.1%
제육볶음 1
 
< 0.1%
Other values (11) 11
 
0.2%

원료명
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing5265
Missing (%)99.8%
Memory size41.3 KiB
2024-05-11T00:13:41.719545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length3.9090909
Min length2

Characters and Unicode

Total characters43
Distinct characters33
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

Unique11 ?
Unique (%)100.0%

Sample

1st row오색소반포기김치
2nd row풍산포기김치
3rd row한울포기김치
4th row아메리카노
5th row커피
ValueCountFrequency (%)
오색소반포기김치 1
9.1%
풍산포기김치 1
9.1%
한울포기김치 1
9.1%
아메리카노 1
9.1%
커피 1
9.1%
광어회 1
9.1%
먹는샘물 1
9.1%
홍삼 1
9.1%
우엉채 1
9.1%
한우 1
9.1%
2024-05-11T00:13:42.690774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
7.0%
3
 
7.0%
3
 
7.0%
3
 
7.0%
2
 
4.7%
2
 
4.7%
1
 
2.3%
1
 
2.3%
1
 
2.3%
1
 
2.3%
Other values (23) 23
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
 
7.0%
3
 
7.0%
3
 
7.0%
3
 
7.0%
2
 
4.7%
2
 
4.7%
1
 
2.3%
1
 
2.3%
1
 
2.3%
1
 
2.3%
Other values (23) 23
53.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
 
7.0%
3
 
7.0%
3
 
7.0%
3
 
7.0%
2
 
4.7%
2
 
4.7%
1
 
2.3%
1
 
2.3%
1
 
2.3%
1
 
2.3%
Other values (23) 23
53.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3
 
7.0%
3
 
7.0%
3
 
7.0%
3
 
7.0%
2
 
4.7%
2
 
4.7%
1
 
2.3%
1
 
2.3%
1
 
2.3%
1
 
2.3%
Other values (23) 23
53.5%

생산업소
Text

MISSING 

Distinct230
Distinct (%)54.2%
Missing4852
Missing (%)92.0%
Memory size41.3 KiB
2024-05-11T00:13:43.327480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length30
Mean length7.8608491
Min length1

Characters and Unicode

Total characters3333
Distinct characters326
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)40.6%

Sample

1st row써브웨이/서울특별시 서대문구 연희로 93(연희동)
2nd row한국농협김치조합공동사업법인/경기도 연천군
3rd row서안동농협/경북 안동시
4th row선도농협/충남 아산시
5th row(주)한울/충남 청양시
ValueCountFrequency (%)
창서초등학교 33
 
5.8%
24
 
4.2%
서울특별시서대문구청소년수련관 15
 
2.6%
씨제이제일제당(주 11
 
1.9%
오뚜기 11
 
1.9%
연희점 10
 
1.8%
co.ltd 10
 
1.8%
씨제이 9
 
1.6%
중앙여고 9
 
1.6%
서대문청소년수련관 9
 
1.6%
Other values (284) 427
75.2%
2024-05-11T00:13:44.392911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
 
4.3%
125
 
3.8%
( 122
 
3.7%
) 122
 
3.7%
94
 
2.8%
87
 
2.6%
65
 
2.0%
63
 
1.9%
54
 
1.6%
47
 
1.4%
Other values (316) 2410
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2484
74.5%
Lowercase Letter 198
 
5.9%
Uppercase Letter 190
 
5.7%
Space Separator 144
 
4.3%
Open Punctuation 122
 
3.7%
Close Punctuation 122
 
3.7%
Other Punctuation 38
 
1.1%
Decimal Number 27
 
0.8%
Other Symbol 6
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
125
 
5.0%
94
 
3.8%
87
 
3.5%
65
 
2.6%
63
 
2.5%
54
 
2.2%
47
 
1.9%
47
 
1.9%
44
 
1.8%
44
 
1.8%
Other values (254) 1814
73.0%
Uppercase Letter
ValueCountFrequency (%)
A 20
 
10.5%
C 16
 
8.4%
T 16
 
8.4%
O 15
 
7.9%
N 14
 
7.4%
E 14
 
7.4%
D 11
 
5.8%
M 10
 
5.3%
L 10
 
5.3%
I 10
 
5.3%
Other values (13) 54
28.4%
Lowercase Letter
ValueCountFrequency (%)
o 24
12.1%
a 18
 
9.1%
c 16
 
8.1%
t 16
 
8.1%
i 16
 
8.1%
r 12
 
6.1%
d 12
 
6.1%
s 12
 
6.1%
l 11
 
5.6%
e 11
 
5.6%
Other values (12) 50
25.3%
Decimal Number
ValueCountFrequency (%)
1 10
37.0%
2 9
33.3%
0 3
 
11.1%
3 2
 
7.4%
8 1
 
3.7%
5 1
 
3.7%
9 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 15
39.5%
, 9
23.7%
/ 6
 
15.8%
; 5
 
13.2%
& 3
 
7.9%
Space Separator
ValueCountFrequency (%)
144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2490
74.7%
Common 455
 
13.7%
Latin 388
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
125
 
5.0%
94
 
3.8%
87
 
3.5%
65
 
2.6%
63
 
2.5%
54
 
2.2%
47
 
1.9%
47
 
1.9%
44
 
1.8%
44
 
1.8%
Other values (255) 1820
73.1%
Latin
ValueCountFrequency (%)
o 24
 
6.2%
A 20
 
5.2%
a 18
 
4.6%
C 16
 
4.1%
c 16
 
4.1%
t 16
 
4.1%
T 16
 
4.1%
i 16
 
4.1%
O 15
 
3.9%
N 14
 
3.6%
Other values (35) 217
55.9%
Common
ValueCountFrequency (%)
144
31.6%
( 122
26.8%
) 122
26.8%
. 15
 
3.3%
1 10
 
2.2%
2 9
 
2.0%
, 9
 
2.0%
/ 6
 
1.3%
; 5
 
1.1%
& 3
 
0.7%
Other values (6) 10
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2484
74.5%
ASCII 843
 
25.3%
None 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
17.1%
( 122
 
14.5%
) 122
 
14.5%
o 24
 
2.8%
A 20
 
2.4%
a 18
 
2.1%
C 16
 
1.9%
c 16
 
1.9%
t 16
 
1.9%
T 16
 
1.9%
Other values (51) 329
39.0%
Hangul
ValueCountFrequency (%)
125
 
5.0%
94
 
3.8%
87
 
3.5%
65
 
2.6%
63
 
2.5%
54
 
2.2%
47
 
1.9%
47
 
1.9%
44
 
1.8%
44
 
1.8%
Other values (254) 1814
73.0%
None
ValueCountFrequency (%)
6
100.0%

수거일자
Real number (ℝ)

Distinct416
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156677
Minimum20070726
Maximum20240313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:13:44.918198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070726
5-th percentile20090922
Q120120614
median20160525
Q320190408
95-th percentile20220223
Maximum20240313
Range169587
Interquartile range (IQR)69794

Descriptive statistics

Standard deviation40258.362
Coefficient of variation (CV)0.0019972718
Kurtosis-1.0663351
Mean20156677
Median Absolute Deviation (MAD)30321
Skewness0.053401967
Sum1.0634663 × 1011
Variance1.6207357 × 109
MonotonicityDecreasing
2024-05-11T00:13:45.496548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111031 95
 
1.8%
20131015 94
 
1.8%
20160525 75
 
1.4%
20130304 72
 
1.4%
20100625 64
 
1.2%
20130204 59
 
1.1%
20111101 58
 
1.1%
20110516 53
 
1.0%
20170620 53
 
1.0%
20090521 53
 
1.0%
Other values (406) 4600
87.2%
ValueCountFrequency (%)
20070726 1
 
< 0.1%
20080511 15
 
0.3%
20080709 6
 
0.1%
20090115 41
0.8%
20090122 3
 
0.1%
20090407 2
 
< 0.1%
20090414 2
 
< 0.1%
20090417 10
 
0.2%
20090427 25
0.5%
20090521 53
1.0%
ValueCountFrequency (%)
20240313 6
 
0.1%
20240312 3
 
0.1%
20240307 1
 
< 0.1%
20240304 3
 
0.1%
20240228 2
 
< 0.1%
20240226 1
 
< 0.1%
20240130 14
 
0.3%
20240117 2
 
< 0.1%
20231222 1
 
< 0.1%
20231221 38
0.7%

수거량(정량)
Real number (ℝ)

MISSING  SKEWED 

Distinct40
Distinct (%)0.8%
Missing186
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean12.019253
Minimum1
Maximum16260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:13:45.919874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9
Maximum16260
Range16259
Interquartile range (IQR)3

Descriptive statistics

Standard deviation240.30039
Coefficient of variation (CV)19.992954
Kurtosis4124.6037
Mean12.019253
Median Absolute Deviation (MAD)1
Skewness61.794658
Sum61178
Variance57744.275
MonotonicityNot monotonic
2024-05-11T00:13:46.341513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 2154
40.8%
3 836
 
15.8%
2 782
 
14.8%
6 474
 
9.0%
4 281
 
5.3%
5 174
 
3.3%
8 78
 
1.5%
10 66
 
1.3%
7 52
 
1.0%
9 35
 
0.7%
Other values (30) 158
 
3.0%
(Missing) 186
 
3.5%
ValueCountFrequency (%)
1 2154
40.8%
2 782
 
14.8%
3 836
 
15.8%
4 281
 
5.3%
5 174
 
3.3%
6 474
 
9.0%
7 52
 
1.0%
8 78
 
1.5%
9 35
 
0.7%
10 66
 
1.3%
ValueCountFrequency (%)
16260 1
 
< 0.1%
4020 1
 
< 0.1%
1000 1
 
< 0.1%
900 2
 
< 0.1%
700 3
 
0.1%
626 1
 
< 0.1%
600 18
0.3%
400 6
 
0.1%
350 1
 
< 0.1%
300 20
0.4%

제품규격(정량)
Text

MISSING 

Distinct593
Distinct (%)13.2%
Missing787
Missing (%)14.9%
Memory size41.3 KiB
2024-05-11T00:13:47.423837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.9100022
Min length1

Characters and Unicode

Total characters13063
Distinct characters34
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)7.1%

Sample

1st row226
2nd row120
3rd row200
4th row200
5th row120
ValueCountFrequency (%)
300 397
 
8.8%
1 368
 
8.2%
500 274
 
6.1%
100 271
 
6.0%
200 234
 
5.2%
600 199
 
4.4%
400 164
 
3.7%
150 141
 
3.1%
900 108
 
2.4%
250 80
 
1.8%
Other values (582) 2254
50.2%
2024-05-11T00:13:49.411423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5428
41.6%
1 1583
 
12.1%
5 1133
 
8.7%
2 1082
 
8.3%
3 907
 
6.9%
4 566
 
4.3%
6 516
 
4.0%
g 406
 
3.1%
9 356
 
2.7%
8 343
 
2.6%
Other values (24) 743
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12190
93.3%
Lowercase Letter 656
 
5.0%
Other Letter 113
 
0.9%
Other Punctuation 98
 
0.8%
Uppercase Letter 5
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
38.9%
44
38.9%
8
 
7.1%
4
 
3.5%
4
 
3.5%
2
 
1.8%
2
 
1.8%
1
 
0.9%
1
 
0.9%
1
 
0.9%
Other values (2) 2
 
1.8%
Decimal Number
ValueCountFrequency (%)
0 5428
44.5%
1 1583
 
13.0%
5 1133
 
9.3%
2 1082
 
8.9%
3 907
 
7.4%
4 566
 
4.6%
6 516
 
4.2%
9 356
 
2.9%
8 343
 
2.8%
7 276
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
g 406
61.9%
m 112
 
17.1%
l 111
 
16.9%
k 22
 
3.4%
3
 
0.5%
r 1
 
0.2%
o 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 96
98.0%
, 1
 
1.0%
* 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
L 5
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12292
94.1%
Latin 658
 
5.0%
Hangul 113
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5428
44.2%
1 1583
 
12.9%
5 1133
 
9.2%
2 1082
 
8.8%
3 907
 
7.4%
4 566
 
4.6%
6 516
 
4.2%
9 356
 
2.9%
8 343
 
2.8%
7 276
 
2.2%
Other values (5) 102
 
0.8%
Hangul
ValueCountFrequency (%)
44
38.9%
44
38.9%
8
 
7.1%
4
 
3.5%
4
 
3.5%
2
 
1.8%
2
 
1.8%
1
 
0.9%
1
 
0.9%
1
 
0.9%
Other values (2) 2
 
1.8%
Latin
ValueCountFrequency (%)
g 406
61.7%
m 112
 
17.0%
l 111
 
16.9%
k 22
 
3.3%
L 5
 
0.8%
r 1
 
0.2%
o 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12947
99.1%
Hangul 112
 
0.9%
Letterlike Symbols 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5428
41.9%
1 1583
 
12.2%
5 1133
 
8.8%
2 1082
 
8.4%
3 907
 
7.0%
4 566
 
4.4%
6 516
 
4.0%
g 406
 
3.1%
9 356
 
2.7%
8 343
 
2.6%
Other values (11) 627
 
4.8%
Hangul
ValueCountFrequency (%)
44
39.3%
44
39.3%
8
 
7.1%
4
 
3.6%
4
 
3.6%
2
 
1.8%
2
 
1.8%
1
 
0.9%
1
 
0.9%
1
 
0.9%
Letterlike Symbols
ValueCountFrequency (%)
3
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

단위(정량)
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
g
3049 
<NA>
1351 
ML
459 
KG
331 
LT
 
86

Length

Max length4
Median length1
Mean length1.9342305
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
g 3049
57.8%
<NA> 1351
25.6%
ML 459
 
8.7%
KG 331
 
6.3%
LT 86
 
1.6%

Length

2024-05-11T00:13:50.042027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:13:50.604831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 3049
57.8%
na 1351
25.6%
ml 459
 
8.7%
kg 331
 
6.3%
lt 86
 
1.6%

수거량(자유)
Text

MISSING 

Distinct91
Distinct (%)48.9%
Missing5090
Missing (%)96.5%
Memory size41.3 KiB
2024-05-11T00:13:51.601680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length4.9139785
Min length2

Characters and Unicode

Total characters914
Distinct characters63
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)31.7%

Sample

1st row스왑*2개
2nd row스왑*2개
3rd row7알
4th row스왑*1
5th row스왑*1
ValueCountFrequency (%)
1개 23
 
10.3%
스왑*1 13
 
5.8%
1pp 11
 
4.9%
2개 10
 
4.5%
스왑 9
 
4.0%
7
 
3.1%
3개 6
 
2.7%
6개 6
 
2.7%
1x2 6
 
2.7%
100g*6 5
 
2.2%
Other values (86) 127
57.0%
2024-05-11T00:13:53.214825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 107
11.7%
* 101
11.1%
1 100
10.9%
g 75
 
8.2%
2 69
 
7.5%
62
 
6.8%
3 50
 
5.5%
6 44
 
4.8%
37
 
4.0%
37
 
4.0%
Other values (53) 232
25.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 451
49.3%
Other Letter 170
 
18.6%
Lowercase Letter 107
 
11.7%
Other Punctuation 102
 
11.2%
Space Separator 37
 
4.0%
Uppercase Letter 36
 
3.9%
Math Symbol 7
 
0.8%
Other Symbol 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
36.5%
37
21.8%
37
21.8%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
1
 
0.6%
Other values (21) 21
 
12.4%
Decimal Number
ValueCountFrequency (%)
0 107
23.7%
1 100
22.2%
2 69
15.3%
3 50
11.1%
6 44
9.8%
5 33
 
7.3%
7 17
 
3.8%
8 12
 
2.7%
4 12
 
2.7%
9 7
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
g 75
70.1%
e 9
 
8.4%
p 6
 
5.6%
m 5
 
4.7%
l 5
 
4.7%
a 3
 
2.8%
x 2
 
1.9%
k 1
 
0.9%
1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 24
66.7%
X 10
27.8%
M 1
 
2.8%
L 1
 
2.8%
Math Symbol
ValueCountFrequency (%)
× 5
71.4%
+ 1
 
14.3%
= 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 101
99.0%
, 1
 
1.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 602
65.9%
Hangul 170
 
18.6%
Latin 142
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
36.5%
37
21.8%
37
21.8%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
1
 
0.6%
Other values (21) 21
 
12.4%
Common
ValueCountFrequency (%)
0 107
17.8%
* 101
16.8%
1 100
16.6%
2 69
11.5%
3 50
8.3%
6 44
7.3%
37
 
6.1%
5 33
 
5.5%
7 17
 
2.8%
8 12
 
2.0%
Other values (10) 32
 
5.3%
Latin
ValueCountFrequency (%)
g 75
52.8%
P 24
 
16.9%
X 10
 
7.0%
e 9
 
6.3%
p 6
 
4.2%
m 5
 
3.5%
l 5
 
3.5%
a 3
 
2.1%
x 2
 
1.4%
k 1
 
0.7%
Other values (2) 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 736
80.5%
Hangul 170
 
18.6%
None 5
 
0.5%
CJK Compat 2
 
0.2%
Letterlike Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 107
14.5%
* 101
13.7%
1 100
13.6%
g 75
10.2%
2 69
9.4%
3 50
6.8%
6 44
6.0%
37
 
5.0%
5 33
 
4.5%
P 24
 
3.3%
Other values (19) 96
13.0%
Hangul
ValueCountFrequency (%)
62
36.5%
37
21.8%
37
21.8%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
1
 
0.6%
Other values (21) 21
 
12.4%
None
ValueCountFrequency (%)
× 5
100.0%
CJK Compat
ValueCountFrequency (%)
2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

제조일자(일자)
Real number (ℝ)

MISSING 

Distinct446
Distinct (%)25.9%
Missing3553
Missing (%)67.3%
Infinite0
Infinite (%)0.0%
Mean20167915
Minimum20111216
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:13:54.113073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111216
5-th percentile20130114
Q120150364
median20160809
Q320190704
95-th percentile20230817
Maximum20240312
Range129096
Interquartile range (IQR)40339.5

Descriptive statistics

Standard deviation29644.176
Coefficient of variation (CV)0.0014698682
Kurtosis-0.58792979
Mean20167915
Median Absolute Deviation (MAD)29308
Skewness0.39259811
Sum3.4749318 × 1010
Variance8.7877718 × 108
MonotonicityNot monotonic
2024-05-11T00:13:54.656594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160525 77
 
1.5%
20131209 45
 
0.9%
20140924 40
 
0.8%
20151224 32
 
0.6%
20191203 28
 
0.5%
20170620 27
 
0.5%
20190528 25
 
0.5%
20150204 24
 
0.5%
20160809 23
 
0.4%
20191209 22
 
0.4%
Other values (436) 1380
 
26.2%
(Missing) 3553
67.3%
ValueCountFrequency (%)
20111216 2
 
< 0.1%
20120106 2
 
< 0.1%
20120207 4
0.1%
20120313 1
 
< 0.1%
20120413 7
0.1%
20120420 4
0.1%
20120506 1
 
< 0.1%
20120507 7
0.1%
20120605 4
0.1%
20120608 1
 
< 0.1%
ValueCountFrequency (%)
20240312 2
 
< 0.1%
20240308 1
 
< 0.1%
20240307 1
 
< 0.1%
20240228 2
 
< 0.1%
20240226 1
 
< 0.1%
20240117 2
 
< 0.1%
20231222 1
 
< 0.1%
20231221 12
0.2%
20231219 7
0.1%
20231218 7
0.1%

제조일자(롯트)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5189 
0
 
37
201802
 
24
201810
 
23
2021년도
 
2

Length

Max length6
Median length4
Mean length3.9979151
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5189
98.4%
0 37
 
0.7%
201802 24
 
0.5%
201810 23
 
0.4%
2021년도 2
 
< 0.1%
201809 1
 
< 0.1%

Length

2024-05-11T00:13:55.258506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:13:55.665769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5189
98.4%
0 37
 
0.7%
201802 24
 
0.5%
201810 23
 
0.4%
2021년도 2
 
< 0.1%
201809 1
 
< 0.1%

유통기한(일자)
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)73.9%
Missing5119
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean20120238
Minimum20100410
Maximum20140928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:13:56.146881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100410
5-th percentile20111014
Q120111213
median20120610
Q320121128
95-th percentile20131009
Maximum20140928
Range40518
Interquartile range (IQR)9915

Descriptive statistics

Standard deviation7660.5286
Coefficient of variation (CV)0.00038073748
Kurtosis-0.16439797
Mean20120238
Median Absolute Deviation (MAD)9392
Skewness0.19581343
Sum3.1588773 × 109
Variance58683699
MonotonicityNot monotonic
2024-05-11T00:13:56.726860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111206 7
 
0.1%
20120507 6
 
0.1%
20131009 5
 
0.1%
20111125 5
 
0.1%
20111115 4
 
0.1%
20111014 3
 
0.1%
20120922 3
 
0.1%
20120425 3
 
0.1%
20120501 3
 
0.1%
20120101 2
 
< 0.1%
Other values (106) 116
 
2.2%
(Missing) 5119
97.0%
ValueCountFrequency (%)
20100410 1
 
< 0.1%
20100605 1
 
< 0.1%
20110106 1
 
< 0.1%
20110902 2
< 0.1%
20110926 1
 
< 0.1%
20111012 1
 
< 0.1%
20111014 3
0.1%
20111016 1
 
< 0.1%
20111017 1
 
< 0.1%
20111104 1
 
< 0.1%
ValueCountFrequency (%)
20140928 1
 
< 0.1%
20140519 1
 
< 0.1%
20140317 1
 
< 0.1%
20131023 1
 
< 0.1%
20131011 1
 
< 0.1%
20131009 5
0.1%
20131006 1
 
< 0.1%
20130924 1
 
< 0.1%
20130823 1
 
< 0.1%
20130727 1
 
< 0.1%

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)20.9%
Missing5209
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean603835.91
Minimum1
Maximum20120221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:13:57.326629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q130
median180
Q3365
95-th percentile730
Maximum20120221
Range20120220
Interquartile range (IQR)335

Descriptive statistics

Standard deviation3449325.6
Coefficient of variation (CV)5.7123559
Kurtosis30.872045
Mean603835.91
Median Absolute Deviation (MAD)179
Skewness5.65236
Sum40457006
Variance1.1897847 × 1013
MonotonicityNot monotonic
2024-05-11T00:13:57.833960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
365 18
 
0.3%
180 9
 
0.2%
30 9
 
0.2%
730 8
 
0.2%
1 5
 
0.1%
7 5
 
0.1%
90 3
 
0.1%
24 2
 
< 0.1%
10 2
 
< 0.1%
20120221 2
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 5209
98.7%
ValueCountFrequency (%)
1 5
0.1%
4 1
 
< 0.1%
7 5
0.1%
10 2
 
< 0.1%
20 1
 
< 0.1%
24 2
 
< 0.1%
30 9
0.2%
60 1
 
< 0.1%
90 3
 
0.1%
180 9
0.2%
ValueCountFrequency (%)
20120221 2
 
< 0.1%
201802 1
 
< 0.1%
730 8
0.2%
365 18
0.3%
180 9
0.2%
90 3
 
0.1%
60 1
 
< 0.1%
30 9
0.2%
24 2
 
< 0.1%
20 1
 
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
실온
2718 
<NA>
1167 
냉장
803 
냉동
534 
기타
 
54

Length

Max length4
Median length2
Mean length2.4423806
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 2718
51.5%
<NA> 1167
22.1%
냉장 803
 
15.2%
냉동 534
 
10.1%
기타 54
 
1.0%

Length

2024-05-11T00:13:58.497865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:13:59.015758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 2718
51.5%
na 1167
22.1%
냉장 803
 
15.2%
냉동 534
 
10.1%
기타 54
 
1.0%

바코드번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5276
Missing (%)100.0%
Memory size46.5 KiB
Distinct2
Distinct (%)66.7%
Missing5273
Missing (%)99.9%
Memory size41.3 KiB
2024-05-11T00:13:59.456199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.3333333
Min length2

Characters and Unicode

Total characters10
Distinct characters6
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 (%)33.3%

Sample

1st row초콜릿류
2nd row초콜릿류
3rd row김밥
ValueCountFrequency (%)
초콜릿류 2
66.7%
김밥 1
33.3%
2024-05-11T00:14:00.464273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
20.0%
2
20.0%
릿 2
20.0%
2
20.0%
1
10.0%
1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
20.0%
2
20.0%
릿 2
20.0%
2
20.0%
1
10.0%
1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
릿 2
20.0%
2
20.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
릿 2
20.0%
2
20.0%
1
10.0%
1
10.0%

검사기관명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
1
3245 
<NA>
2029 
0
 
2

Length

Max length4
Median length1
Mean length2.1537149
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3245
61.5%
<NA> 2029
38.5%
0 2
 
< 0.1%

Length

2024-05-11T00:14:01.181557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:01.563196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3245
61.5%
na 2029
38.5%
0 2
 
< 0.1%

(구)제조사명
Text

MISSING 

Distinct378
Distinct (%)43.4%
Missing4405
Missing (%)83.5%
Memory size41.3 KiB
2024-05-11T00:14:02.184398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length6.7726751
Min length2

Characters and Unicode

Total characters5899
Distinct characters338
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)26.1%

Sample

1st row경복식품
2nd row경복식품
3rd row경복식품
4th row경복식품
5th row(주)영심
ValueCountFrequency (%)
씨제이제일제당(주 22
 
2.1%
주식회사 21
 
2.0%
㈜오뚜기 21
 
2.0%
씨제이제일제당㈜ 19
 
1.8%
19
 
1.8%
주)오뚜기 18
 
1.7%
대상(주 15
 
1.4%
대상㈜ 13
 
1.2%
㈜대상 13
 
1.2%
롯데제과(주 13
 
1.2%
Other values (461) 898
83.8%
2024-05-11T00:14:03.795811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
 
6.0%
252
 
4.3%
248
 
4.2%
207
 
3.5%
) 207
 
3.5%
( 205
 
3.5%
201
 
3.4%
164
 
2.8%
92
 
1.6%
91
 
1.5%
Other values (328) 3876
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4369
74.1%
Other Symbol 356
 
6.0%
Uppercase Letter 256
 
4.3%
Close Punctuation 207
 
3.5%
Open Punctuation 205
 
3.5%
Space Separator 201
 
3.4%
Decimal Number 195
 
3.3%
Lowercase Letter 53
 
0.9%
Other Punctuation 36
 
0.6%
Dash Punctuation 20
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
252
 
5.8%
248
 
5.7%
207
 
4.7%
164
 
3.8%
92
 
2.1%
91
 
2.1%
86
 
2.0%
84
 
1.9%
77
 
1.8%
75
 
1.7%
Other values (269) 2993
68.5%
Uppercase Letter
ValueCountFrequency (%)
O 36
14.1%
C 21
 
8.2%
A 17
 
6.6%
I 15
 
5.9%
F 15
 
5.9%
E 15
 
5.9%
L 14
 
5.5%
R 14
 
5.5%
T 14
 
5.5%
B 13
 
5.1%
Other values (13) 82
32.0%
Lowercase Letter
ValueCountFrequency (%)
a 14
26.4%
m 12
22.6%
p 11
20.8%
e 2
 
3.8%
r 2
 
3.8%
y 2
 
3.8%
t 1
 
1.9%
k 1
 
1.9%
s 1
 
1.9%
i 1
 
1.9%
Other values (6) 6
11.3%
Decimal Number
ValueCountFrequency (%)
1 38
19.5%
6 35
17.9%
3 27
13.8%
2 22
11.3%
0 18
9.2%
4 14
 
7.2%
8 12
 
6.2%
7 10
 
5.1%
9 10
 
5.1%
5 9
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 12
33.3%
& 11
30.6%
; 11
30.6%
, 2
 
5.6%
Other Symbol
ValueCountFrequency (%)
356
100.0%
Close Punctuation
ValueCountFrequency (%)
) 207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 205
100.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4725
80.1%
Common 865
 
14.7%
Latin 309
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
356
 
7.5%
252
 
5.3%
248
 
5.2%
207
 
4.4%
164
 
3.5%
92
 
1.9%
91
 
1.9%
86
 
1.8%
84
 
1.8%
77
 
1.6%
Other values (270) 3068
64.9%
Latin
ValueCountFrequency (%)
O 36
 
11.7%
C 21
 
6.8%
A 17
 
5.5%
I 15
 
4.9%
F 15
 
4.9%
E 15
 
4.9%
a 14
 
4.5%
L 14
 
4.5%
R 14
 
4.5%
T 14
 
4.5%
Other values (29) 134
43.4%
Common
ValueCountFrequency (%)
) 207
23.9%
( 205
23.7%
201
23.2%
1 38
 
4.4%
6 35
 
4.0%
3 27
 
3.1%
2 22
 
2.5%
- 20
 
2.3%
0 18
 
2.1%
4 14
 
1.6%
Other values (9) 78
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4369
74.1%
ASCII 1174
 
19.9%
None 356
 
6.0%

Most frequent character per block

None
ValueCountFrequency (%)
356
100.0%
Hangul
ValueCountFrequency (%)
252
 
5.8%
248
 
5.7%
207
 
4.7%
164
 
3.8%
92
 
2.1%
91
 
2.1%
86
 
2.0%
84
 
1.9%
77
 
1.8%
75
 
1.7%
Other values (269) 2993
68.5%
ASCII
ValueCountFrequency (%)
) 207
17.6%
( 205
17.5%
201
17.1%
1 38
 
3.2%
O 36
 
3.1%
6 35
 
3.0%
3 27
 
2.3%
2 22
 
1.9%
C 21
 
1.8%
- 20
 
1.7%
Other values (48) 362
30.8%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
국내
4116 
국외
1160 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 4116
78.0%
국외 1160
 
22.0%

Length

2024-05-11T00:14:04.442980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:04.879307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 4116
78.0%
국외 1160
 
22.0%

국가명
Categorical

IMBALANCE 

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
4717 
중국
 
115
미국
 
102
일본
 
75
러시아 연방
 
39
Other values (41)
 
228

Length

Max length6
Median length4
Mean length3.8709249
Min length2

Unique

Unique12 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4717
89.4%
중국 115
 
2.2%
미국 102
 
1.9%
일본 75
 
1.4%
러시아 연방 39
 
0.7%
베트남 38
 
0.7%
태국 35
 
0.7%
이탈리아 21
 
0.4%
뉴질랜드 13
 
0.2%
말레이지아 11
 
0.2%
Other values (36) 110
 
2.1%

Length

2024-05-11T00:14:05.417809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4717
88.7%
중국 117
 
2.2%
미국 102
 
1.9%
일본 75
 
1.4%
러시아 39
 
0.7%
연방 39
 
0.7%
베트남 38
 
0.7%
태국 35
 
0.7%
이탈리아 21
 
0.4%
뉴질랜드 13
 
0.2%
Other values (37) 121
 
2.3%

검사구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
1
3467 
2
1067 
<NA>
742 

Length

Max length4
Median length1
Mean length1.4219105
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3467
65.7%
2 1067
 
20.2%
<NA> 742
 
14.1%

Length

2024-05-11T00:14:06.040659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:06.498850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3467
65.7%
2 1067
 
20.2%
na 742
 
14.1%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct179
Distinct (%)6.8%
Missing2630
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean20164712
Minimum20110114
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:14:07.041538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110114
5-th percentile20110408
Q120120427
median20180320
Q320210323
95-th percentile20231030
Maximum20240314
Range130200
Interquartile range (IQR)89896

Descriptive statistics

Standard deviation44385.091
Coefficient of variation (CV)0.002201127
Kurtosis-1.6063728
Mean20164712
Median Absolute Deviation (MAD)49303
Skewness0.065731586
Sum5.3355827 × 1010
Variance1.9700363 × 109
MonotonicityNot monotonic
2024-05-11T00:14:07.720763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111101 101
 
1.9%
20131017 95
 
1.8%
20130305 75
 
1.4%
20130205 60
 
1.1%
20110517 58
 
1.1%
20110927 50
 
0.9%
20110325 50
 
0.9%
20191209 47
 
0.9%
20210818 47
 
0.9%
20210323 46
 
0.9%
Other values (169) 2017
38.2%
(Missing) 2630
49.8%
ValueCountFrequency (%)
20110114 37
0.7%
20110211 21
 
0.4%
20110224 2
 
< 0.1%
20110323 1
 
< 0.1%
20110325 50
0.9%
20110408 40
0.8%
20110517 58
1.1%
20110518 3
 
0.1%
20110519 6
 
0.1%
20110520 5
 
0.1%
ValueCountFrequency (%)
20240314 6
0.1%
20240312 3
 
0.1%
20240307 1
 
< 0.1%
20240305 2
 
< 0.1%
20240304 1
 
< 0.1%
20240228 2
 
< 0.1%
20240226 1
 
< 0.1%
20240131 14
0.3%
20240117 2
 
< 0.1%
20231222 1
 
< 0.1%

결과회보일자
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)10.2%
Missing3688
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean20153454
Minimum20110207
Maximum20230926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:14:08.294108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110207
5-th percentile20111028
Q120120826
median20131204
Q320190422
95-th percentile20200811
Maximum20230926
Range120719
Interquartile range (IQR)69596.25

Descriptive statistics

Standard deviation34505.212
Coefficient of variation (CV)0.001712124
Kurtosis-1.492262
Mean20153454
Median Absolute Deviation (MAD)20094
Skewness0.26840647
Sum3.2003685 × 1010
Variance1.1906097 × 109
MonotonicityNot monotonic
2024-05-11T00:14:08.786437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131029 96
 
1.8%
20111123 46
 
0.9%
20190208 44
 
0.8%
20121120 43
 
0.8%
20120629 40
 
0.8%
20130320 38
 
0.7%
20190423 36
 
0.7%
20190312 34
 
0.6%
20130221 34
 
0.6%
20190705 32
 
0.6%
Other values (152) 1145
 
21.7%
(Missing) 3688
69.9%
ValueCountFrequency (%)
20110207 1
 
< 0.1%
20110519 1
 
< 0.1%
20110524 8
0.2%
20110525 5
0.1%
20110527 5
0.1%
20110614 5
0.1%
20110629 7
0.1%
20110704 8
0.2%
20110706 4
0.1%
20110711 6
0.1%
ValueCountFrequency (%)
20230926 1
 
< 0.1%
20230921 14
0.3%
20230920 9
0.2%
20211201 2
 
< 0.1%
20211027 2
 
< 0.1%
20210917 3
 
0.1%
20210831 2
 
< 0.1%
20210714 1
 
< 0.1%
20210705 3
 
0.1%
20210629 1
 
< 0.1%

판정구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
3638 
1
1617 
2
 
21

Length

Max length4
Median length4
Mean length3.0686126
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> 3638
69.0%
1 1617
30.6%
2 21
 
0.4%

Length

2024-05-11T00:14:09.403062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:09.809207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3638
69.0%
1 1617
30.6%
2 21
 
0.4%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5276
Missing (%)100.0%
Memory size46.5 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5276
Missing (%)100.0%
Memory size46.5 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5276
Missing (%)100.0%
Memory size46.5 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5276
Missing (%)100.0%
Memory size46.5 KiB

처리결과
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5226 
적합
 
19
한우
 
12
리스테리아 양성
 
2
행정처분(영업정지)
 
2
Other values (13)
 
15

Length

Max length23
Median length4
Mean length4.0163002
Min length2

Unique

Unique11 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5226
99.1%
적합 19
 
0.4%
한우 12
 
0.2%
리스테리아 양성 2
 
< 0.1%
행정처분(영업정지) 2
 
< 0.1%
행정처분(영업정지 7일) 2
 
< 0.1%
유통재고량 및 식품첨가물 사용 확인점검 2
 
< 0.1%
프로바이오틱스 수 부적합 1
 
< 0.1%
상기실험을 확인함. 1
 
< 0.1%
식중독균 검출, 시험을 확인함. 1
 
< 0.1%
Other values (8) 8
 
0.2%

Length

2024-05-11T00:14:10.190020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5226
98.5%
적합 20
 
0.4%
한우 12
 
0.2%
행정처분(영업정지 4
 
0.1%
3
 
0.1%
검출 3
 
0.1%
확인함 3
 
0.1%
확인점검 3
 
0.1%
유통재고량 3
 
0.1%
식품첨가물 2
 
< 0.1%
Other values (19) 25
 
0.5%

수거품처리
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5264 
해당없음
 
7
검사의뢰
 
3
폐기
 
1
특이사항 없음
 
1

Length

Max length7
Median length4
Mean length4.0001895
Min length2

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> 5264
99.8%
해당없음 7
 
0.1%
검사의뢰 3
 
0.1%
폐기 1
 
< 0.1%
특이사항 없음 1
 
< 0.1%

Length

2024-05-11T00:14:10.559278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:11.066189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5264
99.8%
해당없음 7
 
0.1%
검사의뢰 3
 
0.1%
폐기 1
 
< 0.1%
특이사항 1
 
< 0.1%
없음 1
 
< 0.1%

교부번호
Real number (ℝ)

Distinct513
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0036325 × 1010
Minimum1.9710066 × 1010
Maximum2.0230089 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:14:11.533073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9710066 × 1010
5-th percentile1.9920067 × 1010
Q11.9970066 × 1010
median2.0020067 × 1010
Q32.0090066 × 1010
95-th percentile2.0170067 × 1010
Maximum2.0230089 × 1010
Range5.2002262 × 108
Interquartile range (IQR)1.199999 × 108

Descriptive statistics

Standard deviation84433103
Coefficient of variation (CV)0.0042140015
Kurtosis-0.012809064
Mean2.0036325 × 1010
Median Absolute Deviation (MAD)59999381
Skewness0.09680501
Sum1.0571165 × 1014
Variance7.128949 × 1015
MonotonicityNot monotonic
2024-05-11T00:14:12.206056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000066650 754
 
14.3%
19960066219 603
 
11.4%
20070066228 331
 
6.3%
19970066496 237
 
4.5%
19920066648 201
 
3.8%
20170066381 175
 
3.3%
20100066123 127
 
2.4%
20070066184 118
 
2.2%
20090066392 113
 
2.1%
20040066679 112
 
2.1%
Other values (503) 2505
47.5%
ValueCountFrequency (%)
19710066001 7
0.1%
19730066004 1
 
< 0.1%
19730066015 1
 
< 0.1%
19740066017 2
 
< 0.1%
19760066026 1
 
< 0.1%
19760066028 1
 
< 0.1%
19760066029 3
 
0.1%
19760066035 8
0.2%
19790066063 3
 
0.1%
19800066029 1
 
< 0.1%
ValueCountFrequency (%)
20230088618 1
 
< 0.1%
20230088552 38
0.7%
20230088206 1
 
< 0.1%
20220103094 1
 
< 0.1%
20220080864 1
 
< 0.1%
20220080681 1
 
< 0.1%
20220080275 26
0.5%
20220080262 1
 
< 0.1%
20220080178 1
 
< 0.1%
20210067184 1
 
< 0.1%

폐기일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5269 
20190409
 
2
20080715
 
2
20161004
 
1
20160525
 
1

Length

Max length8
Median length4
Mean length4.0053071
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5269
99.9%
20190409 2
 
< 0.1%
20080715 2
 
< 0.1%
20161004 1
 
< 0.1%
20160525 1
 
< 0.1%
20150806 1
 
< 0.1%

Length

2024-05-11T00:14:12.811109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:13.352658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5269
99.9%
20190409 2
 
< 0.1%
20080715 2
 
< 0.1%
20161004 1
 
< 0.1%
20160525 1
 
< 0.1%
20150806 1
 
< 0.1%

폐기량(kg)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5273 
2
 
2
0
 
1

Length

Max length4
Median length4
Mean length3.9982942
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5273
99.9%
2 2
 
< 0.1%
0 1
 
< 0.1%

Length

2024-05-11T00:14:13.873856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:14.383364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5273
99.9%
2 2
 
< 0.1%
0 1
 
< 0.1%

폐기금액(천원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5273 
0
 
3

Length

Max length4
Median length4
Mean length3.9982942
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> 5273
99.9%
0 3
 
0.1%

Length

2024-05-11T00:14:14.900239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:15.286952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5273
99.9%
0 3
 
0.1%

폐기장소
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5271 
-
 
4
상동
 
1

Length

Max length4
Median length4
Mean length3.9973465
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5271
99.9%
- 4
 
0.1%
상동 1
 
< 0.1%

Length

2024-05-11T00:14:15.793624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:16.244871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5271
99.9%
4
 
0.1%
상동 1
 
< 0.1%

폐기방법
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
<NA>
5269 
-
 
4
수거당일 소진으로 폐기식품 없음
 
2
전량 소비
 
1

Length

Max length17
Median length4
Mean length4.0028431
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5269
99.9%
- 4
 
0.1%
수거당일 소진으로 폐기식품 없음 2
 
< 0.1%
전량 소비 1
 
< 0.1%

Length

2024-05-11T00:14:16.804683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:17.142470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5269
99.7%
4
 
0.1%
수거당일 2
 
< 0.1%
소진으로 2
 
< 0.1%
폐기식품 2
 
< 0.1%
없음 2
 
< 0.1%
전량 1
 
< 0.1%
소비 1
 
< 0.1%

소재지(도로명)
Text

MISSING 

Distinct307
Distinct (%)9.1%
Missing1917
Missing (%)36.3%
Memory size41.3 KiB
2024-05-11T00:14:17.739282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length32.370051
Min length23

Characters and Unicode

Total characters108731
Distinct characters183
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

Unique97 ?
Unique (%)2.9%

Sample

1st row서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)
2nd row서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)
3rd row서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)
4th row서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)
5th row서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)
ValueCountFrequency (%)
서울특별시 3359
 
17.0%
서대문구 3359
 
17.0%
연희동 523
 
2.6%
지하1층 408
 
2.1%
통일로 398
 
2.0%
남가좌동 374
 
1.9%
1층 367
 
1.9%
홍은동 353
 
1.8%
창천동 349
 
1.8%
연희맛로 344
 
1.7%
Other values (424) 9938
50.3%
2024-05-11T00:14:18.987295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16413
 
15.1%
6899
 
6.3%
, 5203
 
4.8%
1 4097
 
3.8%
( 4033
 
3.7%
) 4033
 
3.7%
3943
 
3.6%
3571
 
3.3%
3494
 
3.2%
3450
 
3.2%
Other values (173) 53595
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63688
58.6%
Space Separator 16413
 
15.1%
Decimal Number 14335
 
13.2%
Other Punctuation 5203
 
4.8%
Open Punctuation 4033
 
3.7%
Close Punctuation 4033
 
3.7%
Uppercase Letter 571
 
0.5%
Dash Punctuation 351
 
0.3%
Math Symbol 104
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6899
 
10.8%
3943
 
6.2%
3571
 
5.6%
3494
 
5.5%
3450
 
5.4%
3369
 
5.3%
3361
 
5.3%
3359
 
5.3%
3359
 
5.3%
2881
 
4.5%
Other values (151) 26002
40.8%
Decimal Number
ValueCountFrequency (%)
1 4097
28.6%
3 2033
14.2%
4 1813
12.6%
2 1605
 
11.2%
5 1090
 
7.6%
0 1068
 
7.5%
7 932
 
6.5%
8 712
 
5.0%
9 518
 
3.6%
6 467
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 467
81.8%
C 64
 
11.2%
M 30
 
5.3%
D 5
 
0.9%
E 4
 
0.7%
J 1
 
0.2%
Space Separator
ValueCountFrequency (%)
16413
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4033
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4033
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 351
100.0%
Math Symbol
ValueCountFrequency (%)
~ 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63688
58.6%
Common 44472
40.9%
Latin 571
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6899
 
10.8%
3943
 
6.2%
3571
 
5.6%
3494
 
5.5%
3450
 
5.4%
3369
 
5.3%
3361
 
5.3%
3359
 
5.3%
3359
 
5.3%
2881
 
4.5%
Other values (151) 26002
40.8%
Common
ValueCountFrequency (%)
16413
36.9%
, 5203
 
11.7%
1 4097
 
9.2%
( 4033
 
9.1%
) 4033
 
9.1%
3 2033
 
4.6%
4 1813
 
4.1%
2 1605
 
3.6%
5 1090
 
2.5%
0 1068
 
2.4%
Other values (6) 3084
 
6.9%
Latin
ValueCountFrequency (%)
B 467
81.8%
C 64
 
11.2%
M 30
 
5.3%
D 5
 
0.9%
E 4
 
0.7%
J 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63688
58.6%
ASCII 45043
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16413
36.4%
, 5203
 
11.6%
1 4097
 
9.1%
( 4033
 
9.0%
) 4033
 
9.0%
3 2033
 
4.5%
4 1813
 
4.0%
2 1605
 
3.6%
5 1090
 
2.4%
0 1068
 
2.4%
Other values (12) 3655
 
8.1%
Hangul
ValueCountFrequency (%)
6899
 
10.8%
3943
 
6.2%
3571
 
5.6%
3494
 
5.5%
3450
 
5.4%
3369
 
5.3%
3361
 
5.3%
3359
 
5.3%
3359
 
5.3%
2881
 
4.5%
Other values (151) 26002
40.8%

소재지(지번)
Text

MISSING 

Distinct477
Distinct (%)9.5%
Missing232
Missing (%)4.4%
Memory size41.3 KiB
2024-05-11T00:14:20.031377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length31.563838
Min length21

Characters and Unicode

Total characters159208
Distinct characters188
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

Unique197 ?
Unique (%)3.9%

Sample

1st row서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스
2nd row서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스
3rd row서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스
4th row서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스
5th row서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스
ValueCountFrequency (%)
서울특별시 5044
 
17.1%
서대문구 5044
 
17.1%
연희동 1240
 
4.2%
홍은동 1171
 
4.0%
1층 1014
 
3.4%
1호 1002
 
3.4%
48번지 744
 
2.5%
131번지 609
 
2.1%
84호 538
 
1.8%
홍제동 511
 
1.7%
Other values (506) 12635
42.8%
2024-05-11T00:14:21.573677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36325
22.8%
10352
 
6.5%
1 7611
 
4.8%
6455
 
4.1%
5625
 
3.5%
5309
 
3.3%
5083
 
3.2%
5068
 
3.2%
5050
 
3.2%
5046
 
3.2%
Other values (178) 67284
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92279
58.0%
Space Separator 36325
 
22.8%
Decimal Number 26041
 
16.4%
Open Punctuation 1455
 
0.9%
Close Punctuation 1455
 
0.9%
Uppercase Letter 607
 
0.4%
Other Punctuation 566
 
0.4%
Dash Punctuation 378
 
0.2%
Math Symbol 102
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10352
 
11.2%
6455
 
7.0%
5625
 
6.1%
5309
 
5.8%
5083
 
5.5%
5068
 
5.5%
5050
 
5.5%
5046
 
5.5%
5045
 
5.5%
5044
 
5.5%
Other values (154) 34202
37.1%
Decimal Number
ValueCountFrequency (%)
1 7611
29.2%
3 3658
14.0%
4 3591
13.8%
8 2326
 
8.9%
2 1993
 
7.7%
7 1905
 
7.3%
0 1766
 
6.8%
9 1254
 
4.8%
6 1131
 
4.3%
5 806
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 517
85.2%
A 76
 
12.5%
D 5
 
0.8%
C 4
 
0.7%
M 4
 
0.7%
J 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 561
99.1%
@ 5
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 100
98.0%
+ 2
 
2.0%
Space Separator
ValueCountFrequency (%)
36325
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1455
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1455
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92279
58.0%
Common 66322
41.7%
Latin 607
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10352
 
11.2%
6455
 
7.0%
5625
 
6.1%
5309
 
5.8%
5083
 
5.5%
5068
 
5.5%
5050
 
5.5%
5046
 
5.5%
5045
 
5.5%
5044
 
5.5%
Other values (154) 34202
37.1%
Common
ValueCountFrequency (%)
36325
54.8%
1 7611
 
11.5%
3 3658
 
5.5%
4 3591
 
5.4%
8 2326
 
3.5%
2 1993
 
3.0%
7 1905
 
2.9%
0 1766
 
2.7%
( 1455
 
2.2%
) 1455
 
2.2%
Other values (8) 4237
 
6.4%
Latin
ValueCountFrequency (%)
B 517
85.2%
A 76
 
12.5%
D 5
 
0.8%
C 4
 
0.7%
M 4
 
0.7%
J 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92279
58.0%
ASCII 66929
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36325
54.3%
1 7611
 
11.4%
3 3658
 
5.5%
4 3591
 
5.4%
8 2326
 
3.5%
2 1993
 
3.0%
7 1905
 
2.8%
0 1766
 
2.6%
( 1455
 
2.2%
) 1455
 
2.2%
Other values (14) 4844
 
7.2%
Hangul
ValueCountFrequency (%)
10352
 
11.2%
6455
 
7.0%
5625
 
6.1%
5309
 
5.8%
5083
 
5.5%
5068
 
5.5%
5050
 
5.5%
5046
 
5.5%
5045
 
5.5%
5044
 
5.5%
Other values (154) 34202
37.1%

업소전화번호
Text

MISSING 

Distinct408
Distinct (%)8.5%
Missing489
Missing (%)9.3%
Memory size41.3 KiB
2024-05-11T00:14:22.261841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.201588
Min length2

Characters and Unicode

Total characters48835
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)3.3%

Sample

1st row02 3953676
2nd row02 3953676
3rd row02 3953676
4th row02 3953676
5th row02 3953676
ValueCountFrequency (%)
02 3844
41.7%
3953676 760
 
8.2%
0231425841 331
 
3.6%
3246830 329
 
3.6%
3246829 274
 
3.0%
3764397 237
 
2.6%
0231453039 201
 
2.2%
3643838 175
 
1.9%
739 127
 
1.4%
6780 127
 
1.4%
Other values (451) 2814
30.5%
2024-05-11T00:14:23.372334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 7937
16.3%
0 7785
15.9%
2 7450
15.3%
5040
10.3%
6 3874
7.9%
5 3100
 
6.3%
9 3078
 
6.3%
4 2982
 
6.1%
7 2613
 
5.4%
8 2515
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43795
89.7%
Space Separator 5040
 
10.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7937
18.1%
0 7785
17.8%
2 7450
17.0%
6 3874
8.8%
5 3100
 
7.1%
9 3078
 
7.0%
4 2982
 
6.8%
7 2613
 
6.0%
8 2515
 
5.7%
1 2461
 
5.6%
Space Separator
ValueCountFrequency (%)
5040
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48835
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 7937
16.3%
0 7785
15.9%
2 7450
15.3%
5040
10.3%
6 3874
7.9%
5 3100
 
6.3%
9 3078
 
6.3%
4 2982
 
6.1%
7 2613
 
5.4%
8 2515
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 7937
16.3%
0 7785
15.9%
2 7450
15.3%
5040
10.3%
6 3874
7.9%
5 3100
 
6.3%
9 3078
 
6.3%
4 2982
 
6.1%
7 2613
 
5.4%
8 2515
 
5.1%

점검목적
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
위생점검(전체)
3486 
<NA>
736 
수거
678 
위생점검(부분)
375 
시설점검
 
1

Length

Max length8
Median length8
Mean length6.6702047
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
위생점검(전체) 3486
66.1%
<NA> 736
 
13.9%
수거 678
 
12.9%
위생점검(부분) 375
 
7.1%
시설점검 1
 
< 0.1%

Length

2024-05-11T00:14:23.825197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:24.409609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위생점검(전체 3486
66.1%
na 736
 
13.9%
수거 678
 
12.9%
위생점검(부분 375
 
7.1%
시설점검 1
 
< 0.1%

점검일자
Real number (ℝ)

Distinct431
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156769
Minimum20070726
Maximum20240313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:14:24.787867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070726
5-th percentile20090922
Q120120614
median20160609
Q320190408
95-th percentile20220223
Maximum20240313
Range169587
Interquartile range (IQR)69794

Descriptive statistics

Standard deviation40322.83
Coefficient of variation (CV)0.002000461
Kurtosis-1.0755656
Mean20156769
Median Absolute Deviation (MAD)30405
Skewness0.046300207
Sum1.0634711 × 1011
Variance1.6259306 × 109
MonotonicityNot monotonic
2024-05-11T00:14:25.248080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130204 104
 
2.0%
20131015 92
 
1.7%
20130304 72
 
1.4%
20100623 64
 
1.2%
20190208 54
 
1.0%
20090609 53
 
1.0%
20110516 53
 
1.0%
20090521 53
 
1.0%
20200420 51
 
1.0%
20110926 50
 
0.9%
Other values (421) 4630
87.8%
ValueCountFrequency (%)
20070726 1
 
< 0.1%
20080511 15
 
0.3%
20080709 6
 
0.1%
20090115 41
0.8%
20090122 3
 
0.1%
20090326 2
 
< 0.1%
20090414 2
 
< 0.1%
20090417 10
 
0.2%
20090427 25
0.5%
20090521 53
1.0%
ValueCountFrequency (%)
20240313 6
 
0.1%
20240312 3
 
0.1%
20240306 1
 
< 0.1%
20240304 3
 
0.1%
20240228 2
 
< 0.1%
20240226 1
 
< 0.1%
20240130 14
 
0.3%
20240117 2
 
< 0.1%
20231221 39
0.7%
20231204 19
0.4%

점검구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
수시
2526 
합동
1332 
<NA>
736 
기타
568 
일제
 
114

Length

Max length4
Median length2
Mean length2.2789992
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수시 2526
47.9%
합동 1332
25.2%
<NA> 736
 
13.9%
기타 568
 
10.8%
일제 114
 
2.2%

Length

2024-05-11T00:14:25.845250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:26.207460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 2526
47.9%
합동 1332
25.2%
na 736
 
13.9%
기타 568
 
10.8%
일제 114
 
2.2%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5276
Missing (%)100.0%
Memory size46.5 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.3 KiB
1
4354 
<NA>
737 
2
 
185

Length

Max length4
Median length1
Mean length1.4190675
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4354
82.5%
<NA> 737
 
14.0%
2 185
 
3.5%

Length

2024-05-11T00:14:26.592616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:14:27.204234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4354
82.5%
na 737
 
14.0%
2 185
 
3.5%

(구)제조유통기한
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)73.9%
Missing5119
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean20120238
Minimum20100410
Maximum20140928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.5 KiB
2024-05-11T00:14:27.649782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100410
5-th percentile20111014
Q120111213
median20120610
Q320121128
95-th percentile20131009
Maximum20140928
Range40518
Interquartile range (IQR)9915

Descriptive statistics

Standard deviation7660.5286
Coefficient of variation (CV)0.00038073748
Kurtosis-0.16439797
Mean20120238
Median Absolute Deviation (MAD)9392
Skewness0.19581343
Sum3.1588773 × 109
Variance58683699
MonotonicityNot monotonic
2024-05-11T00:14:28.232377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111206 7
 
0.1%
20120507 6
 
0.1%
20131009 5
 
0.1%
20111125 5
 
0.1%
20111115 4
 
0.1%
20111014 3
 
0.1%
20120922 3
 
0.1%
20120425 3
 
0.1%
20120501 3
 
0.1%
20120101 2
 
< 0.1%
Other values (106) 116
 
2.2%
(Missing) 5119
97.0%
ValueCountFrequency (%)
20100410 1
 
< 0.1%
20100605 1
 
< 0.1%
20110106 1
 
< 0.1%
20110902 2
< 0.1%
20110926 1
 
< 0.1%
20111012 1
 
< 0.1%
20111014 3
0.1%
20111016 1
 
< 0.1%
20111017 1
 
< 0.1%
20111104 1
 
< 0.1%
ValueCountFrequency (%)
20140928 1
 
< 0.1%
20140519 1
 
< 0.1%
20140317 1
 
< 0.1%
20131023 1
 
< 0.1%
20131011 1
 
< 0.1%
20131009 5
0.1%
20131006 1
 
< 0.1%
20130924 1
 
< 0.1%
20130823 1
 
< 0.1%
20130727 1
 
< 0.1%
Distinct330
Distinct (%)65.2%
Missing4770
Missing (%)90.4%
Memory size41.3 KiB
2024-05-11T00:14:28.919489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length17.652174
Min length3

Characters and Unicode

Total characters8932
Distinct characters267
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)49.0%

Sample

1st row서대문구 창천동 30번지 33호
2nd row서대문구 창천동 30번지 33호
3rd row서대문구 창천동 30번지 33호
4th row서대문구 창천동 30번지 33호
5th row서울 서대문구 창천동 30-33
ValueCountFrequency (%)
경기도 85
 
4.6%
충북 60
 
3.2%
음성군 48
 
2.6%
서울 33
 
1.8%
대소면 30
 
1.6%
경남 27
 
1.4%
서울시 23
 
1.2%
대풍산단로 22
 
1.2%
128 22
 
1.2%
충남 22
 
1.2%
Other values (679) 1493
80.1%
2024-05-11T00:14:29.976086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1370
 
15.3%
1 400
 
4.5%
2 321
 
3.6%
311
 
3.5%
- 244
 
2.7%
237
 
2.7%
233
 
2.6%
176
 
2.0%
5 169
 
1.9%
169
 
1.9%
Other values (257) 5302
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5435
60.8%
Decimal Number 1815
 
20.3%
Space Separator 1370
 
15.3%
Dash Punctuation 244
 
2.7%
Open Punctuation 27
 
0.3%
Close Punctuation 27
 
0.3%
Other Punctuation 7
 
0.1%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
311
 
5.7%
237
 
4.4%
233
 
4.3%
176
 
3.2%
169
 
3.1%
159
 
2.9%
156
 
2.9%
152
 
2.8%
150
 
2.8%
149
 
2.7%
Other values (235) 3543
65.2%
Decimal Number
ValueCountFrequency (%)
1 400
22.0%
2 321
17.7%
5 169
9.3%
3 169
9.3%
4 150
 
8.3%
0 139
 
7.7%
7 139
 
7.7%
6 131
 
7.2%
8 103
 
5.7%
9 94
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
2
28.6%
, 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
A 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
f 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
1370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5435
60.8%
Common 3491
39.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
311
 
5.7%
237
 
4.4%
233
 
4.3%
176
 
3.2%
169
 
3.1%
159
 
2.9%
156
 
2.9%
152
 
2.8%
150
 
2.8%
149
 
2.7%
Other values (235) 3543
65.2%
Common
ValueCountFrequency (%)
1370
39.2%
1 400
 
11.5%
2 321
 
9.2%
- 244
 
7.0%
5 169
 
4.8%
3 169
 
4.8%
4 150
 
4.3%
0 139
 
4.0%
7 139
 
4.0%
6 131
 
3.8%
Other values (8) 259
 
7.4%
Latin
ValueCountFrequency (%)
T 2
33.3%
A 2
33.3%
f 1
16.7%
b 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5435
60.8%
ASCII 3495
39.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1370
39.2%
1 400
 
11.4%
2 321
 
9.2%
- 244
 
7.0%
5 169
 
4.8%
3 169
 
4.8%
4 150
 
4.3%
0 139
 
4.0%
7 139
 
4.0%
6 131
 
3.7%
Other values (11) 263
 
7.5%
Hangul
ValueCountFrequency (%)
311
 
5.7%
237
 
4.4%
233
 
4.3%
176
 
3.2%
169
 
3.1%
159
 
2.9%
156
 
2.9%
152
 
2.8%
150
 
2.8%
149
 
2.7%
Other values (235) 3543
65.2%
None
ValueCountFrequency (%)
2
100.0%

부적합항목
Text

MISSING 

Distinct7
Distinct (%)53.8%
Missing5263
Missing (%)99.8%
Memory size41.3 KiB
2024-05-11T00:14:30.367852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6
Min length3

Characters and Unicode

Total characters78
Distinct characters39
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 (%)23.1%

Sample

1st row여시니아엔테로콜리티카
2nd row여시니아엔테로콜리티카
3rd row식중독균9항목
4th row식중독균9항목
5th row히드록시메틸푸르푸랄
ValueCountFrequency (%)
세균수 4
30.8%
여시니아엔테로콜리티카 2
15.4%
식중독균9항목 2
15.4%
삭카린나트륨 2
15.4%
히드록시메틸푸르푸랄 1
 
7.7%
리놀렌산 1
 
7.7%
냉면육수 1
 
7.7%
2024-05-11T00:14:31.195558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
7.7%
5
 
6.4%
4
 
5.1%
4
 
5.1%
3
 
3.8%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (29) 45
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
97.4%
Decimal Number 2
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
7.9%
5
 
6.6%
4
 
5.3%
4
 
5.3%
3
 
3.9%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (28) 43
56.6%
Decimal Number
ValueCountFrequency (%)
9 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
97.4%
Common 2
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
7.9%
5
 
6.6%
4
 
5.3%
4
 
5.3%
3
 
3.9%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (28) 43
56.6%
Common
ValueCountFrequency (%)
9 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
97.4%
ASCII 2
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
7.9%
5
 
6.6%
4
 
5.3%
4
 
5.3%
3
 
3.9%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (28) 43
56.6%
ASCII
ValueCountFrequency (%)
9 2
100.0%
Distinct12
Distinct (%)80.0%
Missing5261
Missing (%)99.7%
Memory size41.3 KiB
2024-05-11T00:14:31.670354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length5.6666667
Min length2

Characters and Unicode

Total characters85
Distinct characters40
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)60.0%

Sample

1st row부적합 및 시험을 확인함.
2nd row부적합 및 시험을 확인함.
3rd row양성
4th row양성
5th row살모넬라
ValueCountFrequency (%)
검출 3
12.0%
부적합 2
 
8.0%
시험을 2
 
8.0%
확인함 2
 
8.0%
양성 2
 
8.0%
대장균 2
 
8.0%
2
 
8.0%
0.5이하 1
 
4.0%
980 1
 
4.0%
4600 1
 
4.0%
Other values (7) 7
28.0%
2024-05-11T00:14:32.542942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
11.8%
0 9
 
10.6%
. 4
 
4.7%
3
 
3.5%
3
 
3.5%
2
 
2.4%
4 2
 
2.4%
2 2
 
2.4%
5 2
 
2.4%
1 2
 
2.4%
Other values (30) 46
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49
57.6%
Decimal Number 20
23.5%
Space Separator 10
 
11.8%
Other Punctuation 4
 
4.7%
Close Punctuation 1
 
1.2%
Open Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
 
6.1%
3
 
6.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
Other values (18) 27
55.1%
Decimal Number
ValueCountFrequency (%)
0 9
45.0%
4 2
 
10.0%
2 2
 
10.0%
5 2
 
10.0%
1 2
 
10.0%
9 1
 
5.0%
6 1
 
5.0%
8 1
 
5.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49
57.6%
Common 36
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
 
6.1%
3
 
6.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
Other values (18) 27
55.1%
Common
ValueCountFrequency (%)
10
27.8%
0 9
25.0%
. 4
 
11.1%
4 2
 
5.6%
2 2
 
5.6%
5 2
 
5.6%
1 2
 
5.6%
9 1
 
2.8%
6 1
 
2.8%
) 1
 
2.8%
Other values (2) 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49
57.6%
ASCII 36
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
27.8%
0 9
25.0%
. 4
 
11.1%
4 2
 
5.6%
2 2
 
5.6%
5 2
 
5.6%
1 2
 
5.6%
9 1
 
2.8%
6 1
 
2.8%
) 1
 
2.8%
Other values (2) 2
 
5.6%
Hangul
ValueCountFrequency (%)
3
 
6.1%
3
 
6.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
2
 
4.1%
Other values (18) 27
55.1%

Sample

시군구코드업종코드업종명계획구분코드계획구분명지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드바코드번호어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리구분수거검사구분코드단속지역구분코드수거장소구분코드처리결과수거품처리교부번호폐기일자폐기량(kg)폐기금액(천원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검내용점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용
03120000114기타식품판매업999<NA>식품제조판매업소 지도점검<NA>서-3-10검사용롯데슈퍼 유진점C0309020000000커피커피콜롬비아 수프레모<NA><NA><NA>202403136226g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240314<NA><NA><NA><NA><NA><NA><NA><NA>20000066650<NA><NA><NA><NA><NA>서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스02 3953676수거20240313수시<NA>1<NA><NA><NA><NA>
13120000114기타식품판매업999<NA>식품제조판매업소 지도점검<NA>서-3-5검사용롯데슈퍼 유진점C0315030200000땅콩 또는 견과류가공품땅콩 또는 견과류가공품카라멜솔티드아몬드앤프레첼<NA><NA><NA>2024031310120g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240314<NA><NA><NA><NA><NA><NA><NA><NA>20000066650<NA><NA><NA><NA><NA>서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스02 3953676수거20240313수시<NA>1<NA><NA><NA><NA>
23120000114기타식품판매업999<NA>식품제조판매업소 지도점검<NA>서-3-6검사용롯데슈퍼 유진점C0309020000000커피커피지세븐 커피<NA><NA><NA>202403134200g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국외베트남120240314<NA><NA><NA><NA><NA><NA><NA><NA>20000066650<NA><NA><NA><NA><NA>서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스02 3953676수거20240313수시<NA>1<NA><NA><NA><NA>
33120000114기타식품판매업999<NA>식품제조판매업소 지도점검<NA>서-3-7검사용롯데슈퍼 유진점C0315030200000땅콩 또는 견과류가공품땅콩 또는 견과류가공품간식견과<NA><NA><NA>202403133200g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240314<NA><NA><NA><NA><NA><NA><NA><NA>20000066650<NA><NA><NA><NA><NA>서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스02 3953676수거20240313수시<NA>1<NA><NA><NA><NA>
43120000114기타식품판매업999<NA>식품제조판매업소 지도점검<NA>서-3-8검사용롯데슈퍼 유진점C0315030200000땅콩 또는 견과류가공품땅콩 또는 견과류가공품허니버터아몬드<NA><NA><NA>202403136120g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240314<NA><NA><NA><NA><NA><NA><NA><NA>20000066650<NA><NA><NA><NA><NA>서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스02 3953676수거20240313수시<NA>1<NA><NA><NA><NA>
53120000114기타식품판매업999<NA>식품제조판매업소 지도점검<NA>서-3-9검사용롯데슈퍼 유진점C0309020000000커피커피스타벅스 하우스 블렌드 분쇄원두<NA><NA><NA>202403136200g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국외베트남120240314<NA><NA><NA><NA><NA><NA><NA><NA>20000066650<NA><NA><NA><NA><NA>서울특별시 서대문구 통일로 484, 유진상가, 유진아파트,공유캠퍼스 1층 (홍제동)서울특별시 서대문구 홍제동 294번지 46호 유진상가, 유진아파트,공유캠퍼스02 3953676수거20240313수시<NA>1<NA><NA><NA><NA>
63120000105집단급식소<NA><NA><NA><NA>서-조-3-2검사용홍은중학교G0300000300000칼.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)<NA><NA><NA>20240312<NA><NA><NA>스왑*2개20240312<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240312<NA><NA><NA><NA><NA><NA><NA><NA>20010066769<NA><NA><NA><NA><NA>서울특별시 서대문구 연희로41길 94, (홍은동)서울특별시 서대문구 홍은동 183번지32170446위생점검(전체)20240312합동<NA>1<NA><NA><NA><NA>
73120000105집단급식소<NA><NA><NA><NA>서-조-3-3검사용홍은중학교G0300000300000칼.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<NA><NA><NA>20240312<NA><NA><NA>스왑*2개20240312<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240312<NA><NA><NA><NA><NA><NA><NA><NA>20010066769<NA><NA><NA><NA><NA>서울특별시 서대문구 연희로41길 94, (홍은동)서울특별시 서대문구 홍은동 183번지32170446위생점검(전체)20240312합동<NA>1<NA><NA><NA><NA>
83120000105집단급식소<NA><NA><NA><NA>서-조-3-1검사용홍은중학교C0313010100000김치김치오색소반 포기김치<NA><NA><NA>2024031211KG<NA>20240308<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240312<NA><NA><NA><NA><NA><NA><NA><NA>20010066769<NA><NA><NA><NA><NA>서울특별시 서대문구 연희로41길 94, (홍은동)서울특별시 서대문구 홍은동 183번지32170446위생점검(전체)20240312합동<NA>1<NA><NA><NA><NA>
93120000106식품제조가공업<NA><NA><NA><NA>서-3-4검사용성실식품C0322020100000즉석섭취식품즉석섭취식품성실통김밥<NA><NA><NA>202403075260g<NA>20240307<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240307<NA><NA><NA><NA><NA><NA><NA><NA>19900066362<NA><NA><NA><NA><NA>서울특별시 서대문구 북아현로4길 9-7, (북아현동, 3층)서울특별시 서대문구 북아현동 129번지 75호 3층02 3625274위생점검(전체)20240306일제<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(천원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검내용점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용
52663120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이<NA><NA>샐러드<NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52673120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이<NA><NA>돼지껍데기<NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52683120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이<NA><NA><NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52693120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이<NA><NA>상추<NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52703120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이410000000기구류기구류중금속제<NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52713120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이<NA><NA><NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52723120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이<NA><NA>삼겹살<NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52733120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이<NA><NA>오징어<NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52743120000101일반음식점<NA><NA><NA><NA><NA><NA>미친구이<NA><NA>돼지갈비살<NA><NA><NA>200805111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20020066482<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 52번지 128호3341444위생점검(전체)20080511기타<NA>2<NA><NA><NA><NA>
52753120000106식품제조가공업<NA><NA><NA><NA><NA><NA>서강냉동(주)215000000얼음식용얼음수정얼음<NA><NA><NA>200707266<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>19910066437<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 218번지 7호02 3347020수거20070726수시<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드업종코드업종명계획구분코드지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과수거품처리교부번호폐기일자폐기량(kg)폐기금액(천원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용# duplicates
23120000120위탁급식영업<NA><NA><NA><NA><NA>한화호텔앤드리조트(주)중앙여중고점<NA><NA>정수기 물<NA><NA><NA>200904271<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA><NA><NA><NA>20060066408<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북아현동 190번지 1호02 3633128위생점검(전체)20090427기타1<NA><NA><NA><NA>8
03120000101일반음식점9992016년 서울시 위생 및 원산지표시 지도서비스<NA>2016한우-28검사용<NA><NA>조리식품 등등심<NA><NA><NA>201608091100g<NA>20160809<NA><NA><NA>냉동<NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA>19890066369<NA><NA><NA><NA><NA>서울특별시 서대문구 명물길 20-1, (창천동)서울특별시 서대문구 창천동 13번지 26호02 3929495위생점검(전체)20160909합동1<NA><NA><NA><NA>2
13120000101일반음식점<NA><NA><NA><NA><NA>광동수산19Z000000<NA><NA>수족관물<NA><NA><NA>200904141<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA><NA><NA><NA>19990067142<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 18번지 84호 (지상1층)02 3939202위생점검(전체)20090414수시1<NA><NA><NA><NA>2