Overview

Dataset statistics

Number of variables61
Number of observations4637
Missing cells131747
Missing cells (%)46.6%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory2.3 MiB
Average record size in memory519.0 B

Variable types

Categorical17
Numeric12
Unsupported13
Text19

Dataset

Description시군구코드,업종코드,업종명,계획구분코드,계획구분명,지도점검계획,수거계획,수거증번호,수거사유코드,업소명,식품군코드,식품군,품목명,제품명,음식물명,원료명,생산업소,수거일자,수거량(정량),제품규격(정량),단위(정량),수거량(자유),제조일자(일자),제조일자(롯트),유통기한(일자),유통기한(제조일기준),보관상태코드,바코드번호,어린이기호식품유형,검사기관명,(구)제조사명,내외국산,국가명,검사구분,검사의뢰일자,결과회보일자,판정구분,처리구분,수거검사구분코드,단속지역구분코드,수거장소구분코드,처리결과,수거품처리,교부번호,폐기일자,폐기량(Kg),폐기금액(원),폐기장소,폐기방법,소재지(도로명),소재지(지번),업소전화번호,점검목적,점검일자,점검구분,점검내용,점검결과코드,(구)제조유통기한,(구)제조회사주소,부적합항목,기준치부적합내용
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-9916/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
수거계획 is highly imbalanced (71.9%)Imbalance
수거사유코드 is highly imbalanced (67.3%)Imbalance
어린이기호식품유형 is highly imbalanced (97.7%)Imbalance
국가명 is highly imbalanced (86.5%)Imbalance
계획구분명 has 4637 (100.0%) missing valuesMissing
수거증번호 has 153 (3.3%) missing valuesMissing
식품군코드 has 221 (4.8%) missing valuesMissing
식품군 has 964 (20.8%) missing valuesMissing
품목명 has 158 (3.4%) missing valuesMissing
음식물명 has 4576 (98.7%) missing valuesMissing
원료명 has 4625 (99.7%) missing valuesMissing
생산업소 has 3881 (83.7%) missing valuesMissing
수거량(정량) has 683 (14.7%) missing valuesMissing
제품규격(정량) has 836 (18.0%) missing valuesMissing
수거량(자유) has 3954 (85.3%) missing valuesMissing
제조일자(일자) has 2888 (62.3%) missing valuesMissing
제조일자(롯트) has 4637 (100.0%) missing valuesMissing
유통기한(일자) has 4393 (94.7%) missing valuesMissing
유통기한(제조일기준) has 4507 (97.2%) missing valuesMissing
바코드번호 has 4624 (99.7%) missing valuesMissing
(구)제조사명 has 4353 (93.9%) missing valuesMissing
검사의뢰일자 has 2784 (60.0%) missing valuesMissing
결과회보일자 has 3723 (80.3%) missing valuesMissing
처리구분 has 4637 (100.0%) missing valuesMissing
수거검사구분코드 has 4637 (100.0%) missing valuesMissing
단속지역구분코드 has 4637 (100.0%) missing valuesMissing
수거장소구분코드 has 4637 (100.0%) missing valuesMissing
처리결과 has 4630 (99.8%) missing valuesMissing
수거품처리 has 4637 (100.0%) missing valuesMissing
폐기일자 has 4637 (100.0%) missing valuesMissing
폐기량(Kg) has 4637 (100.0%) missing valuesMissing
폐기금액(원) has 4637 (100.0%) missing valuesMissing
폐기장소 has 4637 (100.0%) missing valuesMissing
폐기방법 has 4637 (100.0%) missing valuesMissing
소재지(도로명) has 872 (18.8%) missing valuesMissing
소재지(지번) has 180 (3.9%) missing valuesMissing
업소전화번호 has 354 (7.6%) missing valuesMissing
점검내용 has 4637 (100.0%) missing valuesMissing
(구)제조유통기한 has 4393 (94.7%) missing valuesMissing
(구)제조회사주소 has 4445 (95.9%) missing valuesMissing
부적합항목 has 4630 (99.8%) missing valuesMissing
기준치부적합내용 has 4632 (99.9%) missing valuesMissing
수거량(정량) is highly skewed (γ1 = 62.88083958)Skewed
계획구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제조일자(롯트) is an unsupported type, check if it needs cleaning or further analysisUnsupported
처리구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거검사구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단속지역구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거장소구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거품처리 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기량(Kg) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기금액(원) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기장소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기방법 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 23:22:12.061706
Analysis finished2024-05-10 23:22:17.726562
Duration5.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
3040000
4637 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 4637
100.0%

Length

2024-05-10T23:22:17.905663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:18.161474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 4637
100.0%

업종코드
Real number (ℝ)

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.0386
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:18.324366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1105
median114
Q3114
95-th percentile114
Maximum134
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.8546491
Coefficient of variation (CV)0.062293131
Kurtosis1.7294096
Mean110.0386
Median Absolute Deviation (MAD)0
Skewness0.72366031
Sum510249
Variance46.986214
MonotonicityIncreasing
2024-05-10T23:22:18.597556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
114 2449
52.8%
101 951
 
20.5%
105 628
 
13.5%
104 171
 
3.7%
134 120
 
2.6%
107 113
 
2.4%
109 79
 
1.7%
122 46
 
1.0%
106 38
 
0.8%
112 20
 
0.4%
Other values (3) 22
 
0.5%
ValueCountFrequency (%)
101 951
 
20.5%
104 171
 
3.7%
105 628
 
13.5%
106 38
 
0.8%
107 113
 
2.4%
109 79
 
1.7%
110 3
 
0.1%
112 20
 
0.4%
114 2449
52.8%
120 3
 
0.1%
ValueCountFrequency (%)
134 120
 
2.6%
122 46
 
1.0%
121 16
 
0.3%
120 3
 
0.1%
114 2449
52.8%
112 20
 
0.4%
110 3
 
0.1%
109 79
 
1.7%
107 113
 
2.4%
106 38
 
0.8%

업종명
Categorical

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
기타식품판매업
2449 
일반음식점
951 
집단급식소
628 
휴게음식점
 
171
건강기능식품일반판매업
 
120
Other values (8)
318 

Length

Max length11
Median length7
Mean length6.3955143
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 2449
52.8%
일반음식점 951
 
20.5%
집단급식소 628
 
13.5%
휴게음식점 171
 
3.7%
건강기능식품일반판매업 120
 
2.6%
즉석판매제조가공업 113
 
2.4%
식품소분업 79
 
1.7%
집단급식소식품판매업 46
 
1.0%
식품제조가공업 38
 
0.8%
식품자동판매기영업 20
 
0.4%
Other values (3) 22
 
0.5%

Length

2024-05-10T23:22:19.019907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 2449
52.8%
일반음식점 951
 
20.5%
집단급식소 628
 
13.5%
휴게음식점 171
 
3.7%
건강기능식품일반판매업 120
 
2.6%
즉석판매제조가공업 113
 
2.4%
식품소분업 79
 
1.7%
집단급식소식품판매업 46
 
1.0%
식품제조가공업 38
 
0.8%
식품자동판매기영업 20
 
0.4%
Other values (4) 25
 
0.5%

계획구분코드
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
<NA>
2097 
999
1246 
2
765 
7
299 
1
220 

Length

Max length4
Median length3
Mean length2.8941126
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row7
3rd row999
4th row7
5th row7

Common Values

ValueCountFrequency (%)
<NA> 2097
45.2%
999 1246
26.9%
2 765
 
16.5%
7 299
 
6.4%
1 220
 
4.7%
3 10
 
0.2%

Length

2024-05-10T23:22:19.378981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:19.703500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2097
45.2%
999 1246
26.9%
2 765
 
16.5%
7 299
 
6.4%
1 220
 
4.7%
3 10
 
0.2%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

지도점검계획
Categorical

Distinct48
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
<NA>
2097 
유통판매업소 관리
323 
유통판매업소
319 
2014 식중독안전광진만들기
225 
2017년 유통식품제조판매업소관리
 
137
Other values (43)
1536 

Length

Max length33
Median length30
Mean length9.3683416
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row식중독 안전 광진 만들기
2nd row한우 취급음식점 유전자 검사(점검)
3rd row민원업처리 등
4th row한우 취급음식점 유전자 검사(점검)
5th row2019년 한우유전자검사

Common Values

ValueCountFrequency (%)
<NA> 2097
45.2%
유통판매업소 관리 323
 
7.0%
유통판매업소 319
 
6.9%
2014 식중독안전광진만들기 225
 
4.9%
2017년 유통식품제조판매업소관리 137
 
3.0%
학교급식소 위생관리 계획 133
 
2.9%
민원업처리 등 123
 
2.7%
2013년 식중독 안전 광진만들기 121
 
2.6%
유통식품 안전관리 95
 
2.0%
식품등수입판매업소 점검 86
 
1.9%
Other values (38) 978
21.1%

Length

2024-05-10T23:22:20.093834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2097
22.9%
유통판매업소 643
 
7.0%
관리 352
 
3.8%
식중독 301
 
3.3%
계획 260
 
2.8%
안전 259
 
2.8%
식중독안전광진만들기 225
 
2.5%
2014 225
 
2.5%
점검 204
 
2.2%
2017년 184
 
2.0%
Other values (102) 4409
48.1%

수거계획
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
<NA>
3950 
유통식품 수거검사
 
254
2023년 유통식품 수거검사
 
106
2015년 유통식품 수거검사
 
96
2019. 유통식품등 수거검사
 
87
Other values (7)
 
144

Length

Max length32
Median length4
Mean length5.4287255
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3950
85.2%
유통식품 수거검사 254
 
5.5%
2023년 유통식품 수거검사 106
 
2.3%
2015년 유통식품 수거검사 96
 
2.1%
2019. 유통식품등 수거검사 87
 
1.9%
2024년 유통식품 수거검사 42
 
0.9%
2018 식중독 예방관리를 위한 조리식품 등 수거검사 계획 27
 
0.6%
식품접객업소 조리식품 등 수거검사 23
 
0.5%
16 유통식품 수거검사 23
 
0.5%
2018 한우 수거검사(원산지) 22
 
0.5%
Other values (2) 7
 
0.2%

Length

2024-05-10T23:22:20.470865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3950
66.8%
수거검사 663
 
11.2%
유통식품 526
 
8.9%
2023년 106
 
1.8%
2015년 96
 
1.6%
2019 87
 
1.5%
유통식품등 87
 
1.5%
등 52
 
0.9%
조리식품 50
 
0.8%
2018 49
 
0.8%
Other values (12) 249
 
4.2%

수거증번호
Text

MISSING 

Distinct3109
Distinct (%)69.3%
Missing153
Missing (%)3.3%
Memory size36.4 KiB
2024-05-10T23:22:20.983882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.7549063
Min length5

Characters and Unicode

Total characters39257
Distinct characters34
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2430 ?
Unique (%)54.2%

Sample

1st row105-07-식05
2nd row105-7-128
3rd row105-10월-3
4th row105-7-116
5th row105-7-식53
ValueCountFrequency (%)
105-3 8
 
0.2%
105-4-2 7
 
0.2%
105-7-22 7
 
0.2%
105-10-2 7
 
0.2%
105-7-2 7
 
0.2%
105-7-21 7
 
0.2%
105-7-1 7
 
0.2%
105-7-3 7
 
0.2%
105-10-1 7
 
0.2%
105-4-14 7
 
0.2%
Other values (3102) 4429
98.4%
2024-05-10T23:22:21.916658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 9167
23.4%
1 8221
20.9%
0 5890
15.0%
5 5625
14.3%
2 1918
 
4.9%
4 1351
 
3.4%
7 1313
 
3.3%
3 1294
 
3.3%
9 1103
 
2.8%
6 1039
 
2.6%
Other values (24) 2336
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28687
73.1%
Dash Punctuation 9167
 
23.4%
Other Letter 1374
 
3.5%
Space Separator 16
 
< 0.1%
Connector Punctuation 6
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 720
52.4%
식 402
29.3%
월 103
 
7.5%
생 40
 
2.9%
위 40
 
2.9%
건 17
 
1.2%
기 12
 
0.9%
산 10
 
0.7%
농 10
 
0.7%
얼 4
 
0.3%
Other values (7) 16
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 8221
28.7%
0 5890
20.5%
5 5625
19.6%
2 1918
 
6.7%
4 1351
 
4.7%
7 1313
 
4.6%
3 1294
 
4.5%
9 1103
 
3.8%
6 1039
 
3.6%
8 933
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
O 2
33.3%
G 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 9167
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37877
96.5%
Hangul 1374
 
3.5%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 720
52.4%
식 402
29.3%
월 103
 
7.5%
생 40
 
2.9%
위 40
 
2.9%
건 17
 
1.2%
기 12
 
0.9%
산 10
 
0.7%
농 10
 
0.7%
얼 4
 
0.3%
Other values (7) 16
 
1.2%
Common
ValueCountFrequency (%)
- 9167
24.2%
1 8221
21.7%
0 5890
15.6%
5 5625
14.9%
2 1918
 
5.1%
4 1351
 
3.6%
7 1313
 
3.5%
3 1294
 
3.4%
9 1103
 
2.9%
6 1039
 
2.7%
Other values (4) 956
 
2.5%
Latin
ValueCountFrequency (%)
M 2
33.3%
O 2
33.3%
G 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37883
96.5%
Hangul 1374
 
3.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 9167
24.2%
1 8221
21.7%
0 5890
15.5%
5 5625
14.8%
2 1918
 
5.1%
4 1351
 
3.6%
7 1313
 
3.5%
3 1294
 
3.4%
9 1103
 
2.9%
6 1039
 
2.7%
Other values (7) 962
 
2.5%
Hangul
ValueCountFrequency (%)
미 720
52.4%
식 402
29.3%
월 103
 
7.5%
생 40
 
2.9%
위 40
 
2.9%
건 17
 
1.2%
기 12
 
0.9%
산 10
 
0.7%
농 10
 
0.7%
얼 4
 
0.3%
Other values (7) 16
 
1.2%

수거사유코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
검사용
3779 
<NA>
812 
기타
 
28
증거용
 
9
압류
 
9

Length

Max length4
Median length3
Mean length3.1671339
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 3779
81.5%
<NA> 812
 
17.5%
기타 28
 
0.6%
증거용 9
 
0.2%
압류 9
 
0.2%

Length

2024-05-10T23:22:22.562968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:22.904161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 3779
81.5%
na 812
 
17.5%
기타 28
 
0.6%
증거용 9
 
0.2%
압류 9
 
0.2%

업소명
Text

Distinct618
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
2024-05-10T23:22:23.299690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length23
Mean length9.7627777
Min length2

Characters and Unicode

Total characters45270
Distinct characters518
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)3.9%

Sample

1st row서북면옥
2nd row부림정숯불갈비
3rd row금수산
4th row(주)장군갈비
5th row(주)장군갈비
ValueCountFrequency (%)
주)이마트자양점 678
 
11.3%
강변점 609
 
10.1%
롯데쇼핑(주)롯데마트 577
 
9.6%
롯데백화점건대스타시티점 228
 
3.8%
중앙농협하나로마트 199
 
3.3%
구의점 153
 
2.5%
롯데쇼핑(주)롯데슈퍼 152
 
2.5%
하이웨이 128
 
2.1%
마트 128
 
2.1%
주)지에스리테일gs수퍼광진화양점 108
 
1.8%
Other values (664) 3043
50.7%
2024-05-10T23:22:24.299168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2590
 
5.7%
마 2116
 
4.7%
) 2071
 
4.6%
( 2068
 
4.6%
트 2049
 
4.5%
주 1997
 
4.4%
데 1871
 
4.1%
롯 1780
 
3.9%
이 1423
 
3.1%
1366
 
3.0%
Other values (508) 25939
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39140
86.5%
Close Punctuation 2071
 
4.6%
Open Punctuation 2068
 
4.6%
Space Separator 1366
 
3.0%
Uppercase Letter 385
 
0.9%
Lowercase Letter 116
 
0.3%
Other Punctuation 62
 
0.1%
Decimal Number 36
 
0.1%
Dash Punctuation 26
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2590
 
6.6%
마 2116
 
5.4%
트 2049
 
5.2%
주 1997
 
5.1%
데 1871
 
4.8%
롯 1780
 
4.5%
이 1423
 
3.6%
양 1130
 
2.9%
자 1057
 
2.7%
학 834
 
2.1%
Other values (456) 22293
57.0%
Uppercase Letter
ValueCountFrequency (%)
G 136
35.3%
S 134
34.8%
K 30
 
7.8%
C 9
 
2.3%
T 9
 
2.3%
R 8
 
2.1%
B 7
 
1.8%
U 6
 
1.6%
M 6
 
1.6%
J 6
 
1.6%
Other values (11) 34
 
8.8%
Lowercase Letter
ValueCountFrequency (%)
a 16
13.8%
e 15
12.9%
o 14
12.1%
t 10
8.6%
s 8
 
6.9%
r 7
 
6.0%
y 7
 
6.0%
n 6
 
5.2%
m 6
 
5.2%
p 5
 
4.3%
Other values (9) 22
19.0%
Other Punctuation
ValueCountFrequency (%)
. 23
37.1%
, 20
32.3%
& 14
22.6%
; 5
 
8.1%
Decimal Number
ValueCountFrequency (%)
2 20
55.6%
1 8
 
22.2%
5 5
 
13.9%
3 3
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 2071
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2068
100.0%
Space Separator
ValueCountFrequency (%)
1366
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39128
86.4%
Common 5629
 
12.4%
Latin 501
 
1.1%
Han 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2590
 
6.6%
마 2116
 
5.4%
트 2049
 
5.2%
주 1997
 
5.1%
데 1871
 
4.8%
롯 1780
 
4.5%
이 1423
 
3.6%
양 1130
 
2.9%
자 1057
 
2.7%
학 834
 
2.1%
Other values (454) 22281
56.9%
Latin
ValueCountFrequency (%)
G 136
27.1%
S 134
26.7%
K 30
 
6.0%
a 16
 
3.2%
e 15
 
3.0%
o 14
 
2.8%
t 10
 
2.0%
C 9
 
1.8%
T 9
 
1.8%
R 8
 
1.6%
Other values (30) 120
24.0%
Common
ValueCountFrequency (%)
) 2071
36.8%
( 2068
36.7%
1366
24.3%
- 26
 
0.5%
. 23
 
0.4%
, 20
 
0.4%
2 20
 
0.4%
& 14
 
0.2%
1 8
 
0.1%
; 5
 
0.1%
Other values (2) 8
 
0.1%
Han
ValueCountFrequency (%)
宴 6
50.0%
禧 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39128
86.4%
ASCII 6130
 
13.5%
CJK 12
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2590
 
6.6%
마 2116
 
5.4%
트 2049
 
5.2%
주 1997
 
5.1%
데 1871
 
4.8%
롯 1780
 
4.5%
이 1423
 
3.6%
양 1130
 
2.9%
자 1057
 
2.7%
학 834
 
2.1%
Other values (454) 22281
56.9%
ASCII
ValueCountFrequency (%)
) 2071
33.8%
( 2068
33.7%
1366
22.3%
G 136
 
2.2%
S 134
 
2.2%
K 30
 
0.5%
- 26
 
0.4%
. 23
 
0.4%
, 20
 
0.3%
2 20
 
0.3%
Other values (42) 236
 
3.8%
CJK
ValueCountFrequency (%)
宴 6
50.0%
禧 6
50.0%

식품군코드
Text

MISSING 

Distinct368
Distinct (%)8.3%
Missing221
Missing (%)4.8%
Memory size36.4 KiB
2024-05-10T23:22:24.715651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length11.112998
Min length1

Characters and Unicode

Total characters49075
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)2.6%

Sample

1st rowG01000000
2nd row121000000
3rd row121000000
4th rowB01010100F1000
5th rowB01010100F1000
ValueCountFrequency (%)
600000000 467
 
10.9%
c01000000 455
 
10.6%
410000000 293
 
6.8%
g0100000100000 205
 
4.8%
801000000 127
 
3.0%
g03000000 112
 
2.6%
821000000 95
 
2.2%
823000000 87
 
2.0%
c0101010000000 85
 
2.0%
b01010100f1000 81
 
1.9%
Other values (356) 2281
53.2%
2024-05-10T23:22:25.466249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34368
70.0%
1 4793
 
9.8%
C 1788
 
3.6%
2 1689
 
3.4%
3 1260
 
2.6%
8 1105
 
2.3%
1048
 
2.1%
6 749
 
1.5%
4 693
 
1.4%
G 422
 
0.9%
Other values (10) 1160
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45424
92.6%
Uppercase Letter 2603
 
5.3%
Space Separator 1048
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34368
75.7%
1 4793
 
10.6%
2 1689
 
3.7%
3 1260
 
2.8%
8 1105
 
2.4%
6 749
 
1.6%
4 693
 
1.5%
9 292
 
0.6%
5 266
 
0.6%
7 209
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 1788
68.7%
G 422
 
16.2%
B 102
 
3.9%
F 101
 
3.9%
A 78
 
3.0%
E 76
 
2.9%
X 26
 
1.0%
Z 7
 
0.3%
D 3
 
0.1%
Space Separator
ValueCountFrequency (%)
1048
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46472
94.7%
Latin 2603
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34368
74.0%
1 4793
 
10.3%
2 1689
 
3.6%
3 1260
 
2.7%
8 1105
 
2.4%
1048
 
2.3%
6 749
 
1.6%
4 693
 
1.5%
9 292
 
0.6%
5 266
 
0.6%
Latin
ValueCountFrequency (%)
C 1788
68.7%
G 422
 
16.2%
B 102
 
3.9%
F 101
 
3.9%
A 78
 
3.0%
E 76
 
2.9%
X 26
 
1.0%
Z 7
 
0.3%
D 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34368
70.0%
1 4793
 
9.8%
C 1788
 
3.6%
2 1689
 
3.4%
3 1260
 
2.6%
8 1105
 
2.3%
1048
 
2.1%
6 749
 
1.5%
4 693
 
1.4%
G 422
 
0.9%
Other values (10) 1160
 
2.4%

식품군
Text

MISSING 

Distinct285
Distinct (%)7.8%
Missing964
Missing (%)20.8%
Memory size36.4 KiB
2024-05-10T23:22:25.900423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length17
Mean length4.8665941
Min length1

Characters and Unicode

Total characters17875
Distinct characters288
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

Unique91 ?
Unique (%)2.5%

Sample

1st row식육류중육류
2nd row식육류중육류
3rd row소고기
4th row소고기
5th row기타
ValueCountFrequency (%)
식품접객업 467
 
10.3%
기구류 293
 
6.5%
등 239
 
5.3%
조리식품 205
 
4.5%
과자류 168
 
3.7%
과자 108
 
2.4%
조미식품 104
 
2.3%
김치류 87
 
1.9%
소고기 81
 
1.8%
기타식품류 79
 
1.7%
Other values (299) 2702
59.6%
2024-05-10T23:22:26.642645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 1529
 
8.6%
품 1316
 
7.4%
식 1247
 
7.0%
860
 
4.8%
기 761
 
4.3%
접 486
 
2.7%
객 486
 
2.7%
업 467
 
2.6%
가 443
 
2.5%
조 441
 
2.5%
Other values (278) 9839
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16650
93.1%
Space Separator 860
 
4.8%
Other Punctuation 197
 
1.1%
Close Punctuation 70
 
0.4%
Open Punctuation 70
 
0.4%
Uppercase Letter 24
 
0.1%
Dash Punctuation 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 1529
 
9.2%
품 1316
 
7.9%
식 1247
 
7.5%
기 761
 
4.6%
접 486
 
2.9%
객 486
 
2.9%
업 467
 
2.8%
가 443
 
2.7%
조 441
 
2.6%
과 352
 
2.1%
Other values (264) 9122
54.8%
Uppercase Letter
ValueCountFrequency (%)
C 13
54.2%
D 5
 
20.8%
E 4
 
16.7%
N 1
 
4.2%
B 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 107
54.3%
. 84
42.6%
/ 6
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16650
93.1%
Common 1201
 
6.7%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 1529
 
9.2%
품 1316
 
7.9%
식 1247
 
7.5%
기 761
 
4.6%
접 486
 
2.9%
객 486
 
2.9%
업 467
 
2.8%
가 443
 
2.7%
조 441
 
2.6%
과 352
 
2.1%
Other values (264) 9122
54.8%
Common
ValueCountFrequency (%)
860
71.6%
, 107
 
8.9%
. 84
 
7.0%
) 70
 
5.8%
( 70
 
5.8%
/ 6
 
0.5%
- 2
 
0.2%
1 1
 
0.1%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
C 13
54.2%
D 5
 
20.8%
E 4
 
16.7%
N 1
 
4.2%
B 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16650
93.1%
ASCII 1225
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 1529
 
9.2%
품 1316
 
7.9%
식 1247
 
7.5%
기 761
 
4.6%
접 486
 
2.9%
객 486
 
2.9%
업 467
 
2.8%
가 443
 
2.7%
조 441
 
2.6%
과 352
 
2.1%
Other values (264) 9122
54.8%
ASCII
ValueCountFrequency (%)
860
70.2%
, 107
 
8.7%
. 84
 
6.9%
) 70
 
5.7%
( 70
 
5.7%
C 13
 
1.1%
/ 6
 
0.5%
D 5
 
0.4%
E 4
 
0.3%
- 2
 
0.2%
Other values (4) 4
 
0.3%

품목명
Text

MISSING 

Distinct320
Distinct (%)7.1%
Missing158
Missing (%)3.4%
Memory size36.4 KiB
2024-05-10T23:22:27.369071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length21
Mean length6.6530476
Min length1

Characters and Unicode

Total characters29799
Distinct characters322
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 (%)2.3%

Sample

1st row조리식품 등
2nd row소고기
3rd row조리식품 등
4th row소고기
5th row소고기
ValueCountFrequency (%)
등 500
 
6.6%
조리식품 412
 
5.4%
기타 379
 
5.0%
중인 186
 
2.4%
제외한다 183
 
2.4%
것은 183
 
2.4%
과자 167
 
2.2%
먹을 161
 
2.1%
것(사용 161
 
2.1%
칼.도마 161
 
2.1%
Other values (340) 5114
67.2%
2024-05-10T23:22:28.429782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3128
 
10.5%
기 1417
 
4.8%
식 1103
 
3.7%
류 1050
 
3.5%
품 1018
 
3.4%
가 781
 
2.6%
조 703
 
2.4%
타 630
 
2.1%
용 620
 
2.1%
리 601
 
2.0%
Other values (312) 18748
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25246
84.7%
Space Separator 3128
 
10.5%
Other Punctuation 742
 
2.5%
Close Punctuation 297
 
1.0%
Open Punctuation 297
 
1.0%
Uppercase Letter 63
 
0.2%
Decimal Number 16
 
0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1417
 
5.6%
식 1103
 
4.4%
류 1050
 
4.2%
품 1018
 
4.0%
가 781
 
3.1%
조 703
 
2.8%
타 630
 
2.5%
용 620
 
2.5%
리 601
 
2.4%
등 535
 
2.1%
Other values (292) 16788
66.5%
Uppercase Letter
ValueCountFrequency (%)
C 47
74.6%
D 5
 
7.9%
E 4
 
6.3%
A 4
 
6.3%
B 2
 
3.2%
N 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
3 9
56.2%
1 3
 
18.8%
2 1
 
6.2%
0 1
 
6.2%
4 1
 
6.2%
6 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 483
65.1%
. 252
34.0%
/ 6
 
0.8%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25246
84.7%
Common 4490
 
15.1%
Latin 63
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1417
 
5.6%
식 1103
 
4.4%
류 1050
 
4.2%
품 1018
 
4.0%
가 781
 
3.1%
조 703
 
2.8%
타 630
 
2.5%
용 620
 
2.5%
리 601
 
2.4%
등 535
 
2.1%
Other values (292) 16788
66.5%
Common
ValueCountFrequency (%)
3128
69.7%
, 483
 
10.8%
) 297
 
6.6%
( 297
 
6.6%
. 252
 
5.6%
- 10
 
0.2%
3 9
 
0.2%
/ 6
 
0.1%
1 3
 
0.1%
2 1
 
< 0.1%
Other values (4) 4
 
0.1%
Latin
ValueCountFrequency (%)
C 47
74.6%
D 5
 
7.9%
E 4
 
6.3%
A 4
 
6.3%
B 2
 
3.2%
N 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25246
84.7%
ASCII 4553
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3128
68.7%
, 483
 
10.6%
) 297
 
6.5%
( 297
 
6.5%
. 252
 
5.5%
C 47
 
1.0%
- 10
 
0.2%
3 9
 
0.2%
/ 6
 
0.1%
D 5
 
0.1%
Other values (10) 19
 
0.4%
Hangul
ValueCountFrequency (%)
기 1417
 
5.6%
식 1103
 
4.4%
류 1050
 
4.2%
품 1018
 
4.0%
가 781
 
3.1%
조 703
 
2.8%
타 630
 
2.5%
용 620
 
2.5%
리 601
 
2.4%
등 535
 
2.1%
Other values (292) 16788
66.5%

제품명
Text

Distinct3192
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
2024-05-10T23:22:29.026711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length6.9516929
Min length1

Characters and Unicode

Total characters32235
Distinct characters874
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2857 ?
Unique (%)61.6%

Sample

1st row냉면육수
2nd row한우
3rd row개고기 수육
4th row한우(등심)
5th row갈비살
ValueCountFrequency (%)
도마 277
 
4.1%
칼 271
 
4.0%
행주 184
 
2.7%
한우 66
 
1.0%
40
 
0.6%
보존식 38
 
0.6%
김치 35
 
0.5%
청정원 27
 
0.4%
참기름 24
 
0.4%
등심 23
 
0.3%
Other values (3830) 5816
85.5%
2024-05-10T23:22:30.201777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2168
 
6.7%
스 699
 
2.2%
리 557
 
1.7%
마 531
 
1.6%
이 507
 
1.6%
도 441
 
1.4%
- 439
 
1.4%
1 432
 
1.3%
기 421
 
1.3%
( 394
 
1.2%
Other values (864) 25646
79.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25350
78.6%
Space Separator 2168
 
6.7%
Decimal Number 1541
 
4.8%
Uppercase Letter 1373
 
4.3%
Dash Punctuation 439
 
1.4%
Lowercase Letter 408
 
1.3%
Open Punctuation 394
 
1.2%
Close Punctuation 394
 
1.2%
Other Punctuation 153
 
0.5%
Math Symbol 10
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 699
 
2.8%
리 557
 
2.2%
마 531
 
2.1%
이 507
 
2.0%
도 441
 
1.7%
기 421
 
1.7%
칼 344
 
1.4%
치 325
 
1.3%
고 316
 
1.2%
가 281
 
1.1%
Other values (784) 20928
82.6%
Uppercase Letter
ValueCountFrequency (%)
E 155
 
11.3%
I 115
 
8.4%
C 113
 
8.2%
O 107
 
7.8%
L 96
 
7.0%
A 93
 
6.8%
R 87
 
6.3%
T 82
 
6.0%
N 74
 
5.4%
M 60
 
4.4%
Other values (16) 391
28.5%
Lowercase Letter
ValueCountFrequency (%)
a 78
19.1%
p 64
15.7%
s 50
12.3%
w 46
11.3%
e 31
 
7.6%
m 22
 
5.4%
c 17
 
4.2%
i 16
 
3.9%
r 13
 
3.2%
t 10
 
2.5%
Other values (14) 61
15.0%
Other Punctuation
ValueCountFrequency (%)
. 50
32.7%
% 29
19.0%
& 26
17.0%
, 18
 
11.8%
; 15
 
9.8%
! 5
 
3.3%
？ 4
 
2.6%
/ 2
 
1.3%
＆ 2
 
1.3%
' 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 432
28.0%
0 345
22.4%
5 293
19.0%
2 128
 
8.3%
3 78
 
5.1%
9 70
 
4.5%
4 62
 
4.0%
7 50
 
3.2%
6 42
 
2.7%
8 41
 
2.7%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
2168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 439
100.0%
Open Punctuation
ValueCountFrequency (%)
( 394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 394
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25344
78.6%
Common 5102
 
15.8%
Latin 1783
 
5.5%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 699
 
2.8%
리 557
 
2.2%
마 531
 
2.1%
이 507
 
2.0%
도 441
 
1.7%
기 421
 
1.7%
칼 344
 
1.4%
치 325
 
1.3%
고 316
 
1.2%
가 281
 
1.1%
Other values (781) 20922
82.6%
Latin
ValueCountFrequency (%)
E 155
 
8.7%
I 115
 
6.4%
C 113
 
6.3%
O 107
 
6.0%
L 96
 
5.4%
A 93
 
5.2%
R 87
 
4.9%
T 82
 
4.6%
a 78
 
4.4%
N 74
 
4.2%
Other values (42) 783
43.9%
Common
ValueCountFrequency (%)
2168
42.5%
- 439
 
8.6%
1 432
 
8.5%
( 394
 
7.7%
) 394
 
7.7%
0 345
 
6.8%
5 293
 
5.7%
2 128
 
2.5%
3 78
 
1.5%
9 70
 
1.4%
Other values (18) 361
 
7.1%
Han
ValueCountFrequency (%)
家 4
66.7%
進 1
 
16.7%
色 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25340
78.6%
ASCII 6876
 
21.3%
None 6
 
< 0.1%
CJK 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Number Forms 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2168
31.5%
- 439
 
6.4%
1 432
 
6.3%
( 394
 
5.7%
) 394
 
5.7%
0 345
 
5.0%
5 293
 
4.3%
E 155
 
2.3%
2 128
 
1.9%
I 115
 
1.7%
Other values (65) 2013
29.3%
Hangul
ValueCountFrequency (%)
스 699
 
2.8%
리 557
 
2.2%
마 531
 
2.1%
이 507
 
2.0%
도 441
 
1.7%
기 421
 
1.7%
칼 344
 
1.4%
치 325
 
1.3%
고 316
 
1.2%
가 281
 
1.1%
Other values (777) 20918
82.5%
None
ValueCountFrequency (%)
？ 4
66.7%
＆ 2
33.3%
CJK
ValueCountFrequency (%)
家 4
66.7%
進 1
 
16.7%
色 1
 
16.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
25.0%
ㅡ 1
25.0%
ㅁ 1
25.0%
ㅇ 1
25.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

음식물명
Text

MISSING 

Distinct57
Distinct (%)93.4%
Missing4576
Missing (%)98.7%
Memory size36.4 KiB
2024-05-10T23:22:30.682631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length6.2295082
Min length1

Characters and Unicode

Total characters380
Distinct characters128
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

Unique55 ?
Unique (%)90.2%

Sample

1st row콩국물
2nd row냉면육수
3rd row돈가스
4th row돈가스
5th row정수기물
ValueCountFrequency (%)
프리미엄 6
 
6.9%
1단계 4
 
4.6%
치킨 3
 
3.4%
돈가스 3
 
3.4%
궁 2
 
2.3%
남양 2
 
2.3%
임페리얼분유xo 2
 
2.3%
2단계 2
 
2.3%
앱솔루트 2
 
2.3%
프리머엄 1
 
1.1%
Other values (60) 60
69.0%
2024-05-10T23:22:31.512383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
6.8%
리 16
 
4.2%
- 15
 
3.9%
스 14
 
3.7%
미 12
 
3.2%
1 11
 
2.9%
2 10
 
2.6%
엄 10
 
2.6%
프 10
 
2.6%
양 7
 
1.8%
Other values (118) 249
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
78.7%
Space Separator 26
 
6.8%
Decimal Number 21
 
5.5%
Dash Punctuation 15
 
3.9%
Uppercase Letter 8
 
2.1%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 16
 
5.4%
스 14
 
4.7%
미 12
 
4.0%
엄 10
 
3.3%
프 10
 
3.3%
양 7
 
2.3%
이 7
 
2.3%
계 6
 
2.0%
냉 6
 
2.0%
동 6
 
2.0%
Other values (107) 205
68.6%
Uppercase Letter
ValueCountFrequency (%)
X 2
25.0%
Q 2
25.0%
T 2
25.0%
O 2
25.0%
Decimal Number
ValueCountFrequency (%)
1 11
52.4%
2 10
47.6%
Space Separator
ValueCountFrequency (%)
26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
78.7%
Common 73
 
19.2%
Latin 8
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 16
 
5.4%
스 14
 
4.7%
미 12
 
4.0%
엄 10
 
3.3%
프 10
 
3.3%
양 7
 
2.3%
이 7
 
2.3%
계 6
 
2.0%
냉 6
 
2.0%
동 6
 
2.0%
Other values (107) 205
68.6%
Common
ValueCountFrequency (%)
26
35.6%
- 15
20.5%
1 11
15.1%
2 10
 
13.7%
( 5
 
6.8%
) 5
 
6.8%
, 1
 
1.4%
Latin
ValueCountFrequency (%)
X 2
25.0%
Q 2
25.0%
T 2
25.0%
O 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
78.7%
ASCII 81
 
21.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
32.1%
- 15
18.5%
1 11
13.6%
2 10
 
12.3%
( 5
 
6.2%
) 5
 
6.2%
X 2
 
2.5%
Q 2
 
2.5%
T 2
 
2.5%
O 2
 
2.5%
Hangul
ValueCountFrequency (%)
리 16
 
5.4%
스 14
 
4.7%
미 12
 
4.0%
엄 10
 
3.3%
프 10
 
3.3%
양 7
 
2.3%
이 7
 
2.3%
계 6
 
2.0%
냉 6
 
2.0%
동 6
 
2.0%
Other values (107) 205
68.6%

원료명
Text

MISSING 

Distinct7
Distinct (%)58.3%
Missing4625
Missing (%)99.7%
Memory size36.4 KiB
2024-05-10T23:22:31.760645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.9166667
Min length2

Characters and Unicode

Total characters35
Distinct characters23
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

Unique5 ?
Unique (%)41.7%

Sample

1st row식육
2nd row콩국물
3rd row훈제연어
4th row식육
5th row식육
ValueCountFrequency (%)
벌꿀 4
33.3%
식육 3
25.0%
콩국물 1
 
8.3%
훈제연어 1
 
8.3%
냉면육수 1
 
8.3%
소고기마요김밥 1
 
8.3%
팥빙수 1
 
8.3%
2024-05-10T23:22:32.223155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
벌 4
 
11.4%
육 4
 
11.4%
꿀 4
 
11.4%
식 3
 
8.6%
수 2
 
5.7%
팥 1
 
2.9%
밥 1
 
2.9%
김 1
 
2.9%
요 1
 
2.9%
마 1
 
2.9%
Other values (13) 13
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
벌 4
 
11.4%
육 4
 
11.4%
꿀 4
 
11.4%
식 3
 
8.6%
수 2
 
5.7%
팥 1
 
2.9%
밥 1
 
2.9%
김 1
 
2.9%
요 1
 
2.9%
마 1
 
2.9%
Other values (13) 13
37.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
벌 4
 
11.4%
육 4
 
11.4%
꿀 4
 
11.4%
식 3
 
8.6%
수 2
 
5.7%
팥 1
 
2.9%
밥 1
 
2.9%
김 1
 
2.9%
요 1
 
2.9%
마 1
 
2.9%
Other values (13) 13
37.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
벌 4
 
11.4%
육 4
 
11.4%
꿀 4
 
11.4%
식 3
 
8.6%
수 2
 
5.7%
팥 1
 
2.9%
밥 1
 
2.9%
김 1
 
2.9%
요 1
 
2.9%
마 1
 
2.9%
Other values (13) 13
37.1%

생산업소
Text

MISSING 

Distinct373
Distinct (%)49.3%
Missing3881
Missing (%)83.7%
Memory size36.4 KiB
2024-05-10T23:22:32.748040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length5.7671958
Min length1

Characters and Unicode

Total characters4360
Distinct characters372
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

Unique232 ?
Unique (%)30.7%

Sample

1st row코끼리식당
2nd row코끼리식당
3rd row코끼리식당
4th row만다린
5th row만다린
ValueCountFrequency (%)
오뚜기 25
 
3.0%
씨제이제일제당 20
 
2.4%
대상 19
 
2.3%
롯데푸드 14
 
1.7%
동서식품 12
 
1.4%
미정 9
 
1.1%
동부참사랑요양원 8
 
1.0%
삼립식품 8
 
1.0%
가족사랑대자연요양센터 7
 
0.8%
태광식품 7
 
0.8%
Other values (401) 702
84.5%
2024-05-10T23:22:33.587486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 192
 
4.4%
품 168
 
3.9%
이 114
 
2.6%
제 113
 
2.6%
동 77
 
1.8%
75
 
1.7%
원 68
 
1.6%
주 61
 
1.4%
사 58
 
1.3%
린 49
 
1.1%
Other values (362) 3385
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3658
83.9%
Lowercase Letter 290
 
6.7%
Uppercase Letter 212
 
4.9%
Space Separator 75
 
1.7%
Other Punctuation 42
 
1.0%
Close Punctuation 40
 
0.9%
Open Punctuation 40
 
0.9%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 192
 
5.2%
품 168
 
4.6%
이 114
 
3.1%
제 113
 
3.1%
동 77
 
2.1%
원 68
 
1.9%
주 61
 
1.7%
사 58
 
1.6%
린 49
 
1.3%
산 48
 
1.3%
Other values (309) 2710
74.1%
Lowercase Letter
ValueCountFrequency (%)
a 40
13.8%
t 23
 
7.9%
f 22
 
7.6%
m 22
 
7.6%
e 19
 
6.6%
p 19
 
6.6%
c 18
 
6.2%
o 18
 
6.2%
l 17
 
5.9%
n 16
 
5.5%
Other values (12) 76
26.2%
Uppercase Letter
ValueCountFrequency (%)
N 35
16.5%
R 23
10.8%
A 21
9.9%
S 17
 
8.0%
I 15
 
7.1%
U 13
 
6.1%
G 10
 
4.7%
T 10
 
4.7%
O 10
 
4.7%
E 10
 
4.7%
Other values (11) 48
22.6%
Other Punctuation
ValueCountFrequency (%)
; 14
33.3%
& 13
31.0%
. 11
26.2%
' 3
 
7.1%
/ 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3658
83.9%
Latin 502
 
11.5%
Common 200
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 192
 
5.2%
품 168
 
4.6%
이 114
 
3.1%
제 113
 
3.1%
동 77
 
2.1%
원 68
 
1.9%
주 61
 
1.7%
사 58
 
1.6%
린 49
 
1.3%
산 48
 
1.3%
Other values (309) 2710
74.1%
Latin
ValueCountFrequency (%)
a 40
 
8.0%
N 35
 
7.0%
t 23
 
4.6%
R 23
 
4.6%
f 22
 
4.4%
m 22
 
4.4%
A 21
 
4.2%
e 19
 
3.8%
p 19
 
3.8%
c 18
 
3.6%
Other values (33) 260
51.8%
Common
ValueCountFrequency (%)
75
37.5%
) 40
20.0%
( 40
20.0%
; 14
 
7.0%
& 13
 
6.5%
. 11
 
5.5%
' 3
 
1.5%
2 2
 
1.0%
1 1
 
0.5%
/ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3658
83.9%
ASCII 702
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 192
 
5.2%
품 168
 
4.6%
이 114
 
3.1%
제 113
 
3.1%
동 77
 
2.1%
원 68
 
1.9%
주 61
 
1.7%
사 58
 
1.6%
린 49
 
1.3%
산 48
 
1.3%
Other values (309) 2710
74.1%
ASCII
ValueCountFrequency (%)
75
 
10.7%
a 40
 
5.7%
) 40
 
5.7%
( 40
 
5.7%
N 35
 
5.0%
t 23
 
3.3%
R 23
 
3.3%
f 22
 
3.1%
m 22
 
3.1%
A 21
 
3.0%
Other values (43) 361
51.4%

수거일자
Real number (ℝ)

Distinct265
Distinct (%)5.7%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean20154236
Minimum20090116
Maximum20240313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:34.007224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090116
5-th percentile20110210
Q120130521
median20151013
Q320171107
95-th percentile20211111
Maximum20240313
Range150197
Interquartile range (IQR)40586

Descriptive statistics

Standard deviation33830.771
Coefficient of variation (CV)0.0016785935
Kurtosis-0.25810157
Mean20154236
Median Absolute Deviation (MAD)20491
Skewness0.34568868
Sum9.3334268 × 1010
Variance1.1445211 × 109
MonotonicityNot monotonic
2024-05-10T23:22:34.459280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151113 155
 
3.3%
20150729 105
 
2.3%
20160905 93
 
2.0%
20150828 89
 
1.9%
20151013 89
 
1.9%
20161212 81
 
1.7%
20130408 75
 
1.6%
20140422 71
 
1.5%
20230926 61
 
1.3%
20160927 60
 
1.3%
Other values (255) 3752
80.9%
ValueCountFrequency (%)
20090116 9
 
0.2%
20090203 9
 
0.2%
20090212 19
0.4%
20090223 1
 
< 0.1%
20090313 13
0.3%
20090327 4
 
0.1%
20090521 5
 
0.1%
20090528 24
0.5%
20090530 23
0.5%
20090604 13
0.3%
ValueCountFrequency (%)
20240313 1
 
< 0.1%
20240311 10
 
0.2%
20240305 1
 
< 0.1%
20240228 33
0.7%
20231114 1
 
< 0.1%
20231113 2
 
< 0.1%
20231101 12
 
0.3%
20231016 12
 
0.3%
20230926 61
1.3%
20230920 10
 
0.2%

수거량(정량)
Real number (ℝ)

MISSING  SKEWED 

Distinct77
Distinct (%)1.9%
Missing683
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean55704.907
Minimum1
Maximum2.2016032 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:34.760480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile10
Maximum2.2016032 × 108
Range2.2016032 × 108
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3501230.2
Coefficient of variation (CV)62.853174
Kurtosis3954
Mean55704.907
Median Absolute Deviation (MAD)1
Skewness62.88084
Sum2.202572 × 108
Variance1.2258613 × 1013
MonotonicityNot monotonic
2024-05-10T23:22:35.110789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1357
29.3%
2 958
20.7%
3 562
12.1%
6 327
 
7.1%
4 223
 
4.8%
5 198
 
4.3%
7 54
 
1.2%
10 32
 
0.7%
8 31
 
0.7%
300 25
 
0.5%
Other values (67) 187
 
4.0%
(Missing) 683
14.7%
ValueCountFrequency (%)
1 1357
29.3%
2 958
20.7%
3 562
12.1%
4 223
 
4.8%
5 198
 
4.3%
6 327
 
7.1%
7 54
 
1.2%
8 31
 
0.7%
9 20
 
0.4%
10 32
 
0.7%
ValueCountFrequency (%)
220160321 1
 
< 0.1%
1500 3
0.1%
1250 1
 
< 0.1%
1000 6
0.1%
960 1
 
< 0.1%
908 1
 
< 0.1%
900 6
0.1%
864 2
 
< 0.1%
850 2
 
< 0.1%
830 1
 
< 0.1%

제품규격(정량)
Text

MISSING 

Distinct420
Distinct (%)11.0%
Missing836
Missing (%)18.0%
Memory size36.4 KiB
2024-05-10T23:22:35.684567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.7990003
Min length1

Characters and Unicode

Total characters10639
Distinct characters32
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)5.5%

Sample

1st row100
2nd row200
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
100 330
 
8.7%
기타 251
 
6.6%
200 215
 
5.7%
500 210
 
5.5%
300 199
 
5.2%
1 196
 
5.2%
600 163
 
4.3%
400 112
 
2.9%
250 111
 
2.9%
900 80
 
2.1%
Other values (405) 1934
50.9%
2024-05-10T23:22:36.662621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4177
39.3%
1 1265
 
11.9%
2 982
 
9.2%
5 898
 
8.4%
3 644
 
6.1%
6 407
 
3.8%
4 398
 
3.7%
8 292
 
2.7%
기 251
 
2.4%
타 251
 
2.4%
Other values (22) 1074
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9532
89.6%
Other Letter 687
 
6.5%
Lowercase Letter 309
 
2.9%
Other Punctuation 86
 
0.8%
Uppercase Letter 20
 
0.2%
Modifier Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 251
36.5%
타 251
36.5%
도 34
 
4.9%
마 34
 
4.9%
칼 33
 
4.8%
주 31
 
4.5%
행 31
 
4.5%
개 12
 
1.7%
그 3
 
0.4%
램 3
 
0.4%
Other values (3) 4
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 4177
43.8%
1 1265
 
13.3%
2 982
 
10.3%
5 898
 
9.4%
3 644
 
6.8%
6 407
 
4.3%
4 398
 
4.2%
8 292
 
3.1%
7 239
 
2.5%
9 230
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
g 243
78.6%
m 27
 
8.7%
l 27
 
8.7%
k 11
 
3.6%
x 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
G 17
85.0%
L 3
 
15.0%
Other Punctuation
ValueCountFrequency (%)
. 86
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9623
90.5%
Hangul 687
 
6.5%
Latin 329
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 251
36.5%
타 251
36.5%
도 34
 
4.9%
마 34
 
4.9%
칼 33
 
4.8%
주 31
 
4.5%
행 31
 
4.5%
개 12
 
1.7%
그 3
 
0.4%
램 3
 
0.4%
Other values (3) 4
 
0.6%
Common
ValueCountFrequency (%)
0 4177
43.4%
1 1265
 
13.1%
2 982
 
10.2%
5 898
 
9.3%
3 644
 
6.7%
6 407
 
4.2%
4 398
 
4.1%
8 292
 
3.0%
7 239
 
2.5%
9 230
 
2.4%
Other values (2) 91
 
0.9%
Latin
ValueCountFrequency (%)
g 243
73.9%
m 27
 
8.2%
l 27
 
8.2%
G 17
 
5.2%
k 11
 
3.3%
L 3
 
0.9%
x 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9952
93.5%
Hangul 687
 
6.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4177
42.0%
1 1265
 
12.7%
2 982
 
9.9%
5 898
 
9.0%
3 644
 
6.5%
6 407
 
4.1%
4 398
 
4.0%
8 292
 
2.9%
g 243
 
2.4%
7 239
 
2.4%
Other values (9) 407
 
4.1%
Hangul
ValueCountFrequency (%)
기 251
36.5%
타 251
36.5%
도 34
 
4.9%
마 34
 
4.9%
칼 33
 
4.8%
주 31
 
4.5%
행 31
 
4.5%
개 12
 
1.7%
그 3
 
0.4%
램 3
 
0.4%
Other values (3) 4
 
0.6%

단위(정량)
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
g
2391 
<NA>
1494 
ML
490 
KG
 
197
LT
 
64

Length

Max length4
Median length1
Mean length2.1285314
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
g 2391
51.6%
<NA> 1494
32.2%
ML 490
 
10.6%
KG 197
 
4.2%
LT 64
 
1.4%
매 1
 
< 0.1%

Length

2024-05-10T23:22:36.917200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:37.256812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 2391
51.6%
na 1494
32.2%
ml 490
 
10.6%
kg 197
 
4.2%
lt 64
 
1.4%
매 1
 
< 0.1%

수거량(자유)
Text

MISSING 

Distinct52
Distinct (%)7.6%
Missing3954
Missing (%)85.3%
Memory size36.4 KiB
2024-05-10T23:22:37.621624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.2693997
Min length1

Characters and Unicode

Total characters1550
Distinct characters76
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

Unique40 ?
Unique (%)5.9%

Sample

1st row1L
2nd row2개
3rd row2개
4th row2
5th row2
ValueCountFrequency (%)
2개 340
48.4%
2 90
 
12.8%
1개 85
 
12.1%
1 81
 
11.5%
스왑 27
 
3.8%
보존식 19
 
2.7%
1스왑 8
 
1.1%
1l 6
 
0.9%
600g(3줄 2
 
0.3%
6개 2
 
0.3%
Other values (41) 42
 
6.0%
2024-05-10T23:22:38.505950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 436
28.1%
개 428
27.6%
1 183
11.8%
스 35
 
2.3%
왑 35
 
2.3%
검 28
 
1.8%
환 27
 
1.7%
체 27
 
1.7%
- 27
 
1.7%
경 27
 
1.7%
Other values (66) 297
19.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 809
52.2%
Decimal Number 654
42.2%
Dash Punctuation 27
 
1.7%
Space Separator 19
 
1.2%
Open Punctuation 14
 
0.9%
Close Punctuation 14
 
0.9%
Uppercase Letter 6
 
0.4%
Lowercase Letter 5
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 428
52.9%
스 35
 
4.3%
왑 35
 
4.3%
검 28
 
3.5%
환 27
 
3.3%
체 27
 
3.3%
경 27
 
3.3%
식 23
 
2.8%
존 19
 
2.3%
보 19
 
2.3%
Other values (52) 141
 
17.4%
Decimal Number
ValueCountFrequency (%)
2 436
66.7%
1 183
28.0%
0 11
 
1.7%
3 9
 
1.4%
4 6
 
0.9%
6 6
 
0.9%
5 3
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 5
100.0%
Math Symbol
ValueCountFrequency (%)
× 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 809
52.2%
Common 730
47.1%
Latin 11
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 428
52.9%
스 35
 
4.3%
왑 35
 
4.3%
검 28
 
3.5%
환 27
 
3.3%
체 27
 
3.3%
경 27
 
3.3%
식 23
 
2.8%
존 19
 
2.3%
보 19
 
2.3%
Other values (52) 141
 
17.4%
Common
ValueCountFrequency (%)
2 436
59.7%
1 183
25.1%
- 27
 
3.7%
19
 
2.6%
( 14
 
1.9%
) 14
 
1.9%
0 11
 
1.5%
3 9
 
1.2%
4 6
 
0.8%
6 6
 
0.8%
Other values (2) 5
 
0.7%
Latin
ValueCountFrequency (%)
L 6
54.5%
g 5
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 809
52.2%
ASCII 739
47.7%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 436
59.0%
1 183
24.8%
- 27
 
3.7%
19
 
2.6%
( 14
 
1.9%
) 14
 
1.9%
0 11
 
1.5%
3 9
 
1.2%
L 6
 
0.8%
4 6
 
0.8%
Other values (3) 14
 
1.9%
Hangul
ValueCountFrequency (%)
개 428
52.9%
스 35
 
4.3%
왑 35
 
4.3%
검 28
 
3.5%
환 27
 
3.3%
체 27
 
3.3%
경 27
 
3.3%
식 23
 
2.8%
존 19
 
2.3%
보 19
 
2.3%
Other values (52) 141
 
17.4%
None
ValueCountFrequency (%)
× 2
100.0%

제조일자(일자)
Real number (ℝ)

MISSING 

Distinct319
Distinct (%)18.2%
Missing2888
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean20162670
Minimum20111128
Maximum21060531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:38.949542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111128
5-th percentile20130408
Q120140116
median20160622
Q320180626
95-th percentile20210813
Maximum21060531
Range949403
Interquartile range (IQR)40510

Descriptive statistics

Standard deviation34473.224
Coefficient of variation (CV)0.0017097549
Kurtosis261.99988
Mean20162670
Median Absolute Deviation (MAD)20298
Skewness10.320226
Sum3.526451 × 1010
Variance1.1884032 × 109
MonotonicityNot monotonic
2024-05-10T23:22:39.415426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180101 136
 
2.9%
20190718 51
 
1.1%
20130408 50
 
1.1%
20140116 48
 
1.0%
20130521 44
 
0.9%
20150209 44
 
0.9%
20140325 41
 
0.9%
20160714 40
 
0.9%
20130409 39
 
0.8%
20140115 38
 
0.8%
Other values (309) 1218
26.3%
(Missing) 2888
62.3%
ValueCountFrequency (%)
20111128 1
 
< 0.1%
20120118 1
 
< 0.1%
20120419 2
 
< 0.1%
20120912 1
 
< 0.1%
20121016 1
 
< 0.1%
20121227 1
 
< 0.1%
20130123 10
 
0.2%
20130124 37
0.8%
20130228 1
 
< 0.1%
20130315 2
 
< 0.1%
ValueCountFrequency (%)
21060531 1
 
< 0.1%
20240305 1
 
< 0.1%
20240228 1
 
< 0.1%
20231025 1
 
< 0.1%
20231017 1
 
< 0.1%
20231016 9
0.2%
20231012 1
 
< 0.1%
20231005 1
 
< 0.1%
20230923 1
 
< 0.1%
20230905 6
0.1%

제조일자(롯트)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

유통기한(일자)
Real number (ℝ)

MISSING 

Distinct178
Distinct (%)73.0%
Missing4393
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean20119222
Minimum20110210
Maximum20160513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:39.863791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110210
5-th percentile20110727
Q120110930
median20120309
Q320120922
95-th percentile20130822
Maximum20160513
Range50303
Interquartile range (IQR)9992.5

Descriptive statistics

Standard deviation8431
Coefficient of variation (CV)0.00041905198
Kurtosis2.2441213
Mean20119222
Median Absolute Deviation (MAD)9191
Skewness1.1616111
Sum4.9090902 × 109
Variance71081762
MonotonicityNot monotonic
2024-05-10T23:22:40.452849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110727 7
 
0.2%
20111201 4
 
0.1%
20110831 4
 
0.1%
20110909 4
 
0.1%
20110922 4
 
0.1%
20110918 3
 
0.1%
20120401 3
 
0.1%
20111020 3
 
0.1%
20120301 3
 
0.1%
20130701 3
 
0.1%
Other values (168) 206
 
4.4%
(Missing) 4393
94.7%
ValueCountFrequency (%)
20110210 1
 
< 0.1%
20110502 1
 
< 0.1%
20110518 1
 
< 0.1%
20110519 1
 
< 0.1%
20110521 1
 
< 0.1%
20110522 1
 
< 0.1%
20110524 1
 
< 0.1%
20110530 2
 
< 0.1%
20110727 7
0.2%
20110810 1
 
< 0.1%
ValueCountFrequency (%)
20160513 1
< 0.1%
20150228 1
< 0.1%
20140817 1
< 0.1%
20140525 1
< 0.1%
20140509 1
< 0.1%
20140503 1
< 0.1%
20140430 1
< 0.1%
20140427 1
< 0.1%
20140311 1
< 0.1%
20131207 1
< 0.1%

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)20.0%
Missing4507
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean2332420.2
Minimum0
Maximum20230924
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:40.880931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q360
95-th percentile20230820
Maximum20230924
Range20230924
Interquartile range (IQR)59

Descriptive statistics

Standard deviation6483106.7
Coefficient of variation (CV)2.7795621
Kurtosis3.9949597
Mean2332420.2
Median Absolute Deviation (MAD)0
Skewness2.4359217
Sum3.0321462 × 108
Variance4.2030673 × 1013
MonotonicityNot monotonic
2024-05-10T23:22:41.325470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 73
 
1.6%
60 13
 
0.3%
3 7
 
0.2%
90 6
 
0.1%
7 5
 
0.1%
180 2
 
< 0.1%
2 2
 
< 0.1%
5 2
 
< 0.1%
20180803 2
 
< 0.1%
20230815 2
 
< 0.1%
Other values (16) 16
 
0.3%
(Missing) 4507
97.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 73
1.6%
2 2
 
< 0.1%
3 7
 
0.2%
5 2
 
< 0.1%
7 5
 
0.1%
10 1
 
< 0.1%
45 1
 
< 0.1%
60 13
 
0.3%
90 6
 
0.1%
ValueCountFrequency (%)
20230924 1
< 0.1%
20230911 1
< 0.1%
20230908 1
< 0.1%
20230905 1
< 0.1%
20230904 1
< 0.1%
20230829 1
< 0.1%
20230825 1
< 0.1%
20230815 2
< 0.1%
20230813 1
< 0.1%
20180816 1
< 0.1%

보관상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
실온
2734 
<NA>
812 
냉장
651 
기타
333 
냉동
 
107

Length

Max length4
Median length2
Mean length2.3502264
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 2734
59.0%
<NA> 812
 
17.5%
냉장 651
 
14.0%
기타 333
 
7.2%
냉동 107
 
2.3%

Length

2024-05-10T23:22:41.771603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:42.113863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 2734
59.0%
na 812
 
17.5%
냉장 651
 
14.0%
기타 333
 
7.2%
냉동 107
 
2.3%

바코드번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing4624
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean7.8148779 × 1012
Minimum2.3565901 × 1012
Maximum8.8096179 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:42.446413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3565901 × 1012
5-th percentile2.3800801 × 1012
Q18.8010072 × 1012
median8.8010452 × 1012
Q38.804085 × 1012
95-th percentile8.8093761 × 1012
Maximum8.8096179 × 1012
Range6.4530278 × 1012
Interquartile range (IQR)3.0778257 × 109

Descriptive statistics

Standard deviation2.4137853 × 1012
Coefficient of variation (CV)0.30887051
Kurtosis3.2235114
Mean7.8148779 × 1012
Median Absolute Deviation (MAD)1.9438282 × 109
Skewness-2.1787593
Sum1.0159341 × 1014
Variance5.8263595 × 1024
MonotonicityNot monotonic
2024-05-10T23:22:42.862438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8801039202531 1
 
< 0.1%
8802989004572 1
 
< 0.1%
8801055123704 1
 
< 0.1%
8809013641024 1
 
< 0.1%
2356590127008 1
 
< 0.1%
8801007833040 1
 
< 0.1%
8801045176406 1
 
< 0.1%
8801007206257 1
 
< 0.1%
8809617944729 1
 
< 0.1%
8804085031940 1
 
< 0.1%
Other values (3) 3
 
0.1%
(Missing) 4624
99.7%
ValueCountFrequency (%)
2356590127008 1
< 0.1%
2395740057208 1
< 0.1%
8801007034294 1
< 0.1%
8801007206257 1
< 0.1%
8801007833040 1
< 0.1%
8801039202531 1
< 0.1%
8801045176406 1
< 0.1%
8801055123704 1
< 0.1%
8802989004572 1
< 0.1%
8804085031940 1
< 0.1%
ValueCountFrequency (%)
8809617944729 1
< 0.1%
8809214890023 1
< 0.1%
8809013641024 1
< 0.1%
8804085031940 1
< 0.1%
8802989004572 1
< 0.1%
8801055123704 1
< 0.1%
8801045176406 1
< 0.1%
8801039202531 1
< 0.1%
8801007833040 1
< 0.1%
8801007206257 1
< 0.1%

어린이기호식품유형
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
<NA>
4609 
캔디류
 
9
빵류
 
8
초콜릿류
 
3
과자(한과류제외)
 
3
Other values (3)
 
5

Length

Max length9
Median length4
Mean length3.9987061
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> 4609
99.4%
캔디류 9
 
0.2%
빵류 8
 
0.2%
초콜릿류 3
 
0.1%
과자(한과류제외) 3
 
0.1%
과?채주스 3
 
0.1%
혼합음료 1
 
< 0.1%
과?채음료 1
 
< 0.1%

Length

2024-05-10T23:22:43.276193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:43.492113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4609
99.4%
캔디류 9
 
0.2%
빵류 8
 
0.2%
초콜릿류 3
 
0.1%
과자(한과류제외 3
 
0.1%
과?채주스 3
 
0.1%
혼합음료 1
 
< 0.1%
과?채음료 1
 
< 0.1%

검사기관명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
<NA>
2631 
1
2005 
3
 
1

Length

Max length4
Median length4
Mean length2.7021781
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> 2631
56.7%
1 2005
43.2%
3 1
 
< 0.1%

Length

2024-05-10T23:22:43.750164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:44.090221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2631
56.7%
1 2005
43.2%
3 1
 
< 0.1%

(구)제조사명
Text

MISSING 

Distinct171
Distinct (%)60.2%
Missing4353
Missing (%)93.9%
Memory size36.4 KiB
2024-05-10T23:22:44.506093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.6478873
Min length1

Characters and Unicode

Total characters1888
Distinct characters263
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)40.1%

Sample

1st row코끼리식당
2nd row코끼리식당
3rd row코끼리식당
4th row만다린
5th row만다린
ValueCountFrequency (%)
동부참사랑요양원 8
 
2.7%
주)삼흥 7
 
2.4%
가족사랑대자연요양센터 7
 
2.4%
예스통상(주 6
 
2.0%
육회등갈비 5
 
1.7%
육회지존 5
 
1.7%
광희식품 5
 
1.7%
주)대두식품 4
 
1.4%
주)뉴팜 4
 
1.4%
육회지존(건대점 4
 
1.4%
Other values (171) 240
81.4%
2024-05-10T23:22:45.630087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 132
 
7.0%
주 132
 
7.0%
( 132
 
7.0%
식 63
 
3.3%
품 47
 
2.5%
사 34
 
1.8%
회 34
 
1.8%
한 25
 
1.3%
대 24
 
1.3%
원 24
 
1.3%
Other values (253) 1241
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1592
84.3%
Close Punctuation 132
 
7.0%
Open Punctuation 132
 
7.0%
Lowercase Letter 15
 
0.8%
Space Separator 11
 
0.6%
Uppercase Letter 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 132
 
8.3%
식 63
 
4.0%
품 47
 
3.0%
사 34
 
2.1%
회 34
 
2.1%
한 25
 
1.6%
대 24
 
1.5%
원 24
 
1.5%
기 22
 
1.4%
양 22
 
1.4%
Other values (233) 1165
73.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
u 2
13.3%
s 2
13.3%
t 1
 
6.7%
y 1
 
6.7%
a 1
 
6.7%
d 1
 
6.7%
f 1
 
6.7%
r 1
 
6.7%
e 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
I 1
25.0%
H 1
25.0%
B 1
25.0%
F 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
？ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1592
84.3%
Common 277
 
14.7%
Latin 19
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 132
 
8.3%
식 63
 
4.0%
품 47
 
3.0%
사 34
 
2.1%
회 34
 
2.1%
한 25
 
1.6%
대 24
 
1.5%
원 24
 
1.5%
기 22
 
1.4%
양 22
 
1.4%
Other values (233) 1165
73.2%
Latin
ValueCountFrequency (%)
o 3
15.8%
u 2
 
10.5%
s 2
 
10.5%
t 1
 
5.3%
y 1
 
5.3%
I 1
 
5.3%
H 1
 
5.3%
B 1
 
5.3%
F 1
 
5.3%
a 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
) 132
47.7%
( 132
47.7%
11
 
4.0%
/ 1
 
0.4%
？ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1592
84.3%
ASCII 295
 
15.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 132
44.7%
( 132
44.7%
11
 
3.7%
o 3
 
1.0%
u 2
 
0.7%
s 2
 
0.7%
t 1
 
0.3%
y 1
 
0.3%
I 1
 
0.3%
H 1
 
0.3%
Other values (9) 9
 
3.1%
Hangul
ValueCountFrequency (%)
주 132
 
8.3%
식 63
 
4.0%
품 47
 
3.0%
사 34
 
2.1%
회 34
 
2.1%
한 25
 
1.6%
대 24
 
1.5%
원 24
 
1.5%
기 22
 
1.4%
양 22
 
1.4%
Other values (233) 1165
73.2%
None
ValueCountFrequency (%)
？ 1
100.0%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
국내
4126 
국외
511 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 4126
89.0%
국외 511
 
11.0%

Length

2024-05-10T23:22:46.053123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:46.340509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 4126
89.0%
국외 511
 
11.0%

국가명
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
<NA>
4279 
미국
 
83
중국
 
45
일본
 
23
베트남
 
20
Other values (35)
 
187

Length

Max length9
Median length4
Mean length3.9003666
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> 4279
92.3%
미국 83
 
1.8%
중국 45
 
1.0%
일본 23
 
0.5%
베트남 20
 
0.4%
말레이지아 19
 
0.4%
필리핀 19
 
0.4%
태국 14
 
0.3%
독일 13
 
0.3%
이탈리아 12
 
0.3%
Other values (30) 110
 
2.4%

Length

2024-05-10T23:22:46.699907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4279
92.1%
미국 83
 
1.8%
중국 48
 
1.0%
일본 23
 
0.5%
베트남 20
 
0.4%
말레이지아 19
 
0.4%
필리핀 19
 
0.4%
태국 14
 
0.3%
독일 13
 
0.3%
호주 12
 
0.3%
Other values (31) 118
 
2.5%

검사구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
<NA>
1788 
1
1693 
2
1156 

Length

Max length4
Median length1
Mean length2.1567824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1788
38.6%
1 1693
36.5%
2 1156
24.9%

Length

2024-05-10T23:22:47.102138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:47.422781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1788
38.6%
1 1693
36.5%
2 1156
24.9%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)6.0%
Missing2784
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean20158191
Minimum20100316
Maximum20240313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:47.765291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100316
5-th percentile20110211
Q120111104
median20160905
Q320171107
95-th percentile20230926
Maximum20240313
Range139997
Interquartile range (IQR)60003

Descriptive statistics

Standard deviation42665.083
Coefficient of variation (CV)0.0021165135
Kurtosis-1.0725055
Mean20158191
Median Absolute Deviation (MAD)49784
Skewness0.30367617
Sum3.7353127 × 1010
Variance1.8203093 × 109
MonotonicityNot monotonic
2024-05-10T23:22:48.215824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160905 93
 
2.0%
20161212 81
 
1.7%
20230926 61
 
1.3%
20160927 60
 
1.3%
20111123 59
 
1.3%
20110707 51
 
1.1%
20111017 50
 
1.1%
20111104 50
 
1.1%
20110727 49
 
1.1%
20170418 47
 
1.0%
Other values (102) 1252
27.0%
(Missing) 2784
60.0%
ValueCountFrequency (%)
20100316 1
 
< 0.1%
20100323 4
 
0.1%
20100324 2
 
< 0.1%
20100630 1
 
< 0.1%
20100701 31
0.7%
20100812 3
 
0.1%
20100813 2
 
< 0.1%
20101010 2
 
< 0.1%
20101104 1
 
< 0.1%
20101123 1
 
< 0.1%
ValueCountFrequency (%)
20240313 1
 
< 0.1%
20240312 10
 
0.2%
20240305 1
 
< 0.1%
20240228 33
0.7%
20231114 1
 
< 0.1%
20231113 6
 
0.1%
20231101 12
 
0.3%
20231016 8
 
0.2%
20230926 61
1.3%
20230920 10
 
0.2%

결과회보일자
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)8.1%
Missing3723
Missing (%)80.3%
Infinite0
Infinite (%)0.0%
Mean20172225
Minimum20100813
Maximum20230721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:48.659849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100813
5-th percentile20160219
Q120161010
median20161228
Q320170922
95-th percentile20210915
Maximum20230721
Range129908
Interquartile range (IQR)9912

Descriptive statistics

Standard deviation19279.83
Coefficient of variation (CV)0.00095576119
Kurtosis1.3055582
Mean20172225
Median Absolute Deviation (MAD)1009
Skewness0.9662953
Sum1.8437414 × 1010
Variance3.7171183 × 108
MonotonicityNot monotonic
2024-05-10T23:22:49.132210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161228 126
 
2.7%
20161011 93
 
2.0%
20161010 56
 
1.2%
20160601 43
 
0.9%
20160219 38
 
0.8%
20170802 31
 
0.7%
20170224 30
 
0.6%
20170504 30
 
0.6%
20170929 30
 
0.6%
20160524 29
 
0.6%
Other values (64) 408
 
8.8%
(Missing) 3723
80.3%
ValueCountFrequency (%)
20100813 5
 
0.1%
20101022 1
 
< 0.1%
20130722 3
 
0.1%
20140704 1
 
< 0.1%
20160216 1
 
< 0.1%
20160219 38
0.8%
20160325 11
 
0.2%
20160517 26
0.6%
20160524 29
0.6%
20160530 17
0.4%
ValueCountFrequency (%)
20230721 1
 
< 0.1%
20220126 1
 
< 0.1%
20211215 2
 
< 0.1%
20211129 12
0.3%
20211123 4
 
0.1%
20211103 4
 
0.1%
20211102 3
 
0.1%
20211101 6
0.1%
20210929 1
 
< 0.1%
20210927 3
 
0.1%

판정구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
<NA>
3270 
1
1355 
2
 
12

Length

Max length4
Median length4
Mean length3.115592
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> 3270
70.5%
1 1355
29.2%
2 12
 
0.3%

Length

2024-05-10T23:22:49.570298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:49.889777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3270
70.5%
1 1355
29.2%
2 12
 
0.3%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

처리결과
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing4630
Missing (%)99.8%
Memory size36.4 KiB
2024-05-10T23:22:50.247324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length12.857143
Min length6

Characters and Unicode

Total characters90
Distinct characters45
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st row시험을 확인함(정성검사 양성)
2nd row시험을 확인함(정성검사 양성)
3rd row강릉시 이첩
4th row전남 여수시 이첩
5th row전국구 통보 및 해당기관 내용통보
ValueCountFrequency (%)
이첩 3
14.3%
시험을 2
 
9.5%
확인함(정성검사 2
 
9.5%
양성 2
 
9.5%
강릉시 1
 
4.8%
전남 1
 
4.8%
여수시 1
 
4.8%
전국구 1
 
4.8%
통보 1
 
4.8%
및 1
 
4.8%
Other values (6) 6
28.6%
2024-05-10T23:22:50.983270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
15.6%
시 5
 
5.6%
성 4
 
4.4%
보 3
 
3.3%
통 3
 
3.3%
첩 3
 
3.3%
) 3
 
3.3%
이 3
 
3.3%
( 3
 
3.3%
인 3
 
3.3%
Other values (35) 46
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
77.8%
Space Separator 14
 
15.6%
Close Punctuation 3
 
3.3%
Open Punctuation 3
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5
 
7.1%
성 4
 
5.7%
보 3
 
4.3%
통 3
 
4.3%
첩 3
 
4.3%
이 3
 
4.3%
인 3
 
4.3%
정 2
 
2.9%
을 2
 
2.9%
경 2
 
2.9%
Other values (32) 40
57.1%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
77.8%
Common 20
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5
 
7.1%
성 4
 
5.7%
보 3
 
4.3%
통 3
 
4.3%
첩 3
 
4.3%
이 3
 
4.3%
인 3
 
4.3%
정 2
 
2.9%
을 2
 
2.9%
경 2
 
2.9%
Other values (32) 40
57.1%
Common
ValueCountFrequency (%)
14
70.0%
) 3
 
15.0%
( 3
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
77.8%
ASCII 20
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
70.0%
) 3
 
15.0%
( 3
 
15.0%
Hangul
ValueCountFrequency (%)
시 5
 
7.1%
성 4
 
5.7%
보 3
 
4.3%
통 3
 
4.3%
첩 3
 
4.3%
이 3
 
4.3%
인 3
 
4.3%
정 2
 
2.9%
을 2
 
2.9%
경 2
 
2.9%
Other values (32) 40
57.1%

수거품처리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

교부번호
Real number (ℝ)

Distinct609
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0052817 × 1010
Minimum1.9720039 × 1010
Maximum2.0230054 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:51.278289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9720039 × 1010
5-th percentile1.9970039 × 1010
Q12.001004 × 1010
median2.006004 × 1010
Q32.008004 × 1010
95-th percentile2.0160039 × 1010
Maximum2.0230054 × 1010
Range5.100148 × 108
Interquartile range (IQR)69999612

Descriptive statistics

Standard deviation60493120
Coefficient of variation (CV)0.0030166894
Kurtosis2.9804161
Mean2.0052817 × 1010
Median Absolute Deviation (MAD)30000307
Skewness-0.62809582
Sum9.2984913 × 1013
Variance3.6594176 × 1015
MonotonicityNot monotonic
2024-05-10T23:22:51.724536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070039084 700
 
15.1%
20010040003 577
 
12.4%
20080039615 228
 
4.9%
20050039855 199
 
4.3%
20060039601 152
 
3.3%
20010040004 141
 
3.0%
20090039304 128
 
2.8%
20050039734 121
 
2.6%
19990039215 79
 
1.7%
20030039698 77
 
1.7%
Other values (599) 2235
48.2%
ValueCountFrequency (%)
19720039007 1
 
< 0.1%
19750039005 2
< 0.1%
19760039010 1
 
< 0.1%
19760039014 2
< 0.1%
19770039004 3
0.1%
19770039029 2
< 0.1%
19780039019 1
 
< 0.1%
19780039022 1
 
< 0.1%
19790039028 1
 
< 0.1%
19790039069 1
 
< 0.1%
ValueCountFrequency (%)
20230053804 1
 
< 0.1%
20230053607 1
 
< 0.1%
20230053491 1
 
< 0.1%
20220046277 2
 
< 0.1%
20220045974 2
 
< 0.1%
20220045759 1
 
< 0.1%
20220045279 2
 
< 0.1%
20220045277 5
0.1%
20210116386 1
 
< 0.1%
20210039863 2
 
< 0.1%

폐기일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

폐기량(Kg)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

폐기금액(원)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

폐기장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

폐기방법
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

소재지(도로명)
Text

MISSING 

Distinct455
Distinct (%)12.1%
Missing872
Missing (%)18.8%
Memory size36.4 KiB
2024-05-10T23:22:52.302260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length31.36919
Min length22

Characters and Unicode

Total characters118105
Distinct characters178
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

Unique146 ?
Unique (%)3.9%

Sample

1st row서울특별시 광진구 자양로 199-1, (구의동)
2nd row서울특별시 광진구 뚝섬로 476-7, (자양동)
3rd row서울특별시 광진구 용마산로 13, (중곡동)
4th row서울특별시 광진구 용마산로 11, (중곡동)
5th row서울특별시 광진구 용마산로 11, (중곡동)
ValueCountFrequency (%)
서울특별시 3765
16.8%
광진구 3765
16.8%
자양동 1366
 
6.1%
아차산로 947
 
4.2%
구의동 938
 
4.2%
지하1층 669
 
3.0%
272 617
 
2.8%
광나루로56길 597
 
2.7%
85 597
 
2.7%
지하2층 554
 
2.5%
Other values (539) 8601
38.4%
2024-05-10T23:22:53.277985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18651
 
15.8%
, 5560
 
4.7%
구 5217
 
4.4%
광 4870
 
4.1%
동 4532
 
3.8%
( 4207
 
3.6%
) 4207
 
3.6%
시 3821
 
3.2%
서 3787
 
3.2%
울 3787
 
3.2%
Other values (168) 59466
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69264
58.6%
Space Separator 18651
 
15.8%
Decimal Number 15893
 
13.5%
Other Punctuation 5560
 
4.7%
Open Punctuation 4207
 
3.6%
Close Punctuation 4207
 
3.6%
Dash Punctuation 216
 
0.2%
Uppercase Letter 106
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5217
 
7.5%
광 4870
 
7.0%
동 4532
 
6.5%
시 3821
 
5.5%
서 3787
 
5.5%
울 3787
 
5.5%
진 3781
 
5.5%
로 3769
 
5.4%
특 3765
 
5.4%
별 3765
 
5.4%
Other values (148) 28170
40.7%
Decimal Number
ValueCountFrequency (%)
1 3519
22.1%
2 2918
18.4%
5 2131
13.4%
6 1506
9.5%
3 1369
 
8.6%
7 1098
 
6.9%
8 909
 
5.7%
0 883
 
5.6%
9 820
 
5.2%
4 740
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 51
48.1%
A 44
41.5%
S 6
 
5.7%
C 5
 
4.7%
Space Separator
ValueCountFrequency (%)
18651
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5560
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69264
58.6%
Common 48735
41.3%
Latin 106
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5217
 
7.5%
광 4870
 
7.0%
동 4532
 
6.5%
시 3821
 
5.5%
서 3787
 
5.5%
울 3787
 
5.5%
진 3781
 
5.5%
로 3769
 
5.4%
특 3765
 
5.4%
별 3765
 
5.4%
Other values (148) 28170
40.7%
Common
ValueCountFrequency (%)
18651
38.3%
, 5560
 
11.4%
( 4207
 
8.6%
) 4207
 
8.6%
1 3519
 
7.2%
2 2918
 
6.0%
5 2131
 
4.4%
6 1506
 
3.1%
3 1369
 
2.8%
7 1098
 
2.3%
Other values (6) 3569
 
7.3%
Latin
ValueCountFrequency (%)
B 51
48.1%
A 44
41.5%
S 6
 
5.7%
C 5
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69264
58.6%
ASCII 48841
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18651
38.2%
, 5560
 
11.4%
( 4207
 
8.6%
) 4207
 
8.6%
1 3519
 
7.2%
2 2918
 
6.0%
5 2131
 
4.4%
6 1506
 
3.1%
3 1369
 
2.8%
7 1098
 
2.2%
Other values (10) 3675
 
7.5%
Hangul
ValueCountFrequency (%)
구 5217
 
7.5%
광 4870
 
7.0%
동 4532
 
6.5%
시 3821
 
5.5%
서 3787
 
5.5%
울 3787
 
5.5%
진 3781
 
5.5%
로 3769
 
5.4%
특 3765
 
5.4%
별 3765
 
5.4%
Other values (148) 28170
40.7%

소재지(지번)
Text

MISSING 

Distinct564
Distinct (%)12.7%
Missing180
Missing (%)3.9%
Memory size36.4 KiB
2024-05-10T23:22:53.824935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length47
Mean length29.476778
Min length20

Characters and Unicode

Total characters131378
Distinct characters181
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

Unique154 ?
Unique (%)3.5%

Sample

1st row서울특별시 광진구 구의동 80번지 47호
2nd row서울특별시 광진구 자양동 52번지 2호
3rd row서울특별시 광진구 중곡동 117번지 33호
4th row서울특별시 광진구 중곡동 117번지 11호
5th row서울특별시 광진구 중곡동 117번지 11호
ValueCountFrequency (%)
서울특별시 4457
17.0%
광진구 4457
17.0%
자양동 1705
 
6.5%
구의동 1437
 
5.5%
227번지 1014
 
3.9%
지하1층 761
 
2.9%
7호 755
 
2.9%
546번지 680
 
2.6%
4호 671
 
2.6%
지하2층 560
 
2.1%
Other values (552) 9779
37.2%
2024-05-10T23:22:54.706356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32441
24.7%
지 6186
 
4.7%
구 5991
 
4.6%
2 5184
 
3.9%
광 4690
 
3.6%
동 4680
 
3.6%
시 4543
 
3.5%
번 4512
 
3.4%
서 4477
 
3.4%
울 4477
 
3.4%
Other values (171) 54197
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75223
57.3%
Space Separator 32441
24.7%
Decimal Number 21949
 
16.7%
Open Punctuation 647
 
0.5%
Close Punctuation 647
 
0.5%
Other Punctuation 217
 
0.2%
Dash Punctuation 134
 
0.1%
Uppercase Letter 114
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6186
 
8.2%
구 5991
 
8.0%
광 4690
 
6.2%
동 4680
 
6.2%
시 4543
 
6.0%
번 4512
 
6.0%
서 4477
 
6.0%
울 4477
 
6.0%
진 4472
 
5.9%
특 4457
 
5.9%
Other values (147) 26738
35.5%
Decimal Number
ValueCountFrequency (%)
2 5184
23.6%
1 4183
19.1%
4 2535
11.5%
7 2354
10.7%
5 2049
 
9.3%
6 1746
 
8.0%
3 1427
 
6.5%
8 1014
 
4.6%
0 852
 
3.9%
9 605
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 50
43.9%
B 35
30.7%
S 9
 
7.9%
C 8
 
7.0%
F 3
 
2.6%
Z 3
 
2.6%
L 3
 
2.6%
P 3
 
2.6%
Space Separator
ValueCountFrequency (%)
32441
100.0%
Open Punctuation
ValueCountFrequency (%)
( 647
100.0%
Close Punctuation
ValueCountFrequency (%)
) 647
100.0%
Other Punctuation
ValueCountFrequency (%)
, 217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75223
57.3%
Common 56041
42.7%
Latin 114
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6186
 
8.2%
구 5991
 
8.0%
광 4690
 
6.2%
동 4680
 
6.2%
시 4543
 
6.0%
번 4512
 
6.0%
서 4477
 
6.0%
울 4477
 
6.0%
진 4472
 
5.9%
특 4457
 
5.9%
Other values (147) 26738
35.5%
Common
ValueCountFrequency (%)
32441
57.9%
2 5184
 
9.3%
1 4183
 
7.5%
4 2535
 
4.5%
7 2354
 
4.2%
5 2049
 
3.7%
6 1746
 
3.1%
3 1427
 
2.5%
8 1014
 
1.8%
0 852
 
1.5%
Other values (6) 2256
 
4.0%
Latin
ValueCountFrequency (%)
A 50
43.9%
B 35
30.7%
S 9
 
7.9%
C 8
 
7.0%
F 3
 
2.6%
Z 3
 
2.6%
L 3
 
2.6%
P 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75223
57.3%
ASCII 56155
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32441
57.8%
2 5184
 
9.2%
1 4183
 
7.4%
4 2535
 
4.5%
7 2354
 
4.2%
5 2049
 
3.6%
6 1746
 
3.1%
3 1427
 
2.5%
8 1014
 
1.8%
0 852
 
1.5%
Other values (14) 2370
 
4.2%
Hangul
ValueCountFrequency (%)
지 6186
 
8.2%
구 5991
 
8.0%
광 4690
 
6.2%
동 4680
 
6.2%
시 4543
 
6.0%
번 4512
 
6.0%
서 4477
 
6.0%
울 4477
 
6.0%
진 4472
 
5.9%
특 4457
 
5.9%
Other values (147) 26738
35.5%

업소전화번호
Text

MISSING 

Distinct485
Distinct (%)11.3%
Missing354
Missing (%)7.6%
Memory size36.4 KiB
2024-05-10T23:22:55.257697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9925286
Min length2

Characters and Unicode

Total characters42798
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

Unique135 ?
Unique (%)3.2%

Sample

1st row02 4578319
2nd row02 4635455
3rd row02 4577486
4th row02 4573241
5th row02 4573241
ValueCountFrequency (%)
02 2321
33.7%
0220241050 742
 
10.8%
34242510 532
 
7.7%
22182500 228
 
3.3%
0234379150 199
 
2.9%
4588500 152
 
2.2%
4631903 141
 
2.0%
453 131
 
1.9%
5947 128
 
1.9%
4691334 121
 
1.8%
Other values (506) 2198
31.9%
2024-05-10T23:22:56.220827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8940
20.9%
2 8334
19.5%
4 6038
14.1%
5 4081
9.5%
1 3179
 
7.4%
3157
 
7.4%
3 3123
 
7.3%
6 1840
 
4.3%
9 1498
 
3.5%
7 1333
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39641
92.6%
Space Separator 3157
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8940
22.6%
2 8334
21.0%
4 6038
15.2%
5 4081
10.3%
1 3179
 
8.0%
3 3123
 
7.9%
6 1840
 
4.6%
9 1498
 
3.8%
7 1333
 
3.4%
8 1275
 
3.2%
Space Separator
ValueCountFrequency (%)
3157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8940
20.9%
2 8334
19.5%
4 6038
14.1%
5 4081
9.5%
1 3179
 
7.4%
3157
 
7.4%
3 3123
 
7.3%
6 1840
 
4.3%
9 1498
 
3.5%
7 1333
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8940
20.9%
2 8334
19.5%
4 6038
14.1%
5 4081
9.5%
1 3179
 
7.4%
3157
 
7.4%
3 3123
 
7.3%
6 1840
 
4.3%
9 1498
 
3.5%
7 1333
 
3.1%

점검목적
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
위생점검(전체)
2102 
<NA>
1207 
수거
1014 
위생점검(부분)
301 
시설점검
 
13

Length

Max length8
Median length8
Mean length5.6355402
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row위생점검(전체)
2nd row위생점검(전체)
3rd row위생점검(전체)
4th row위생점검(전체)
5th row위생점검(전체)

Common Values

ValueCountFrequency (%)
위생점검(전체) 2102
45.3%
<NA> 1207
26.0%
수거 1014
21.9%
위생점검(부분) 301
 
6.5%
시설점검 13
 
0.3%

Length

2024-05-10T23:22:56.626379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:56.955708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위생점검(전체 2102
45.3%
na 1207
26.0%
수거 1014
21.9%
위생점검(부분 301
 
6.5%
시설점검 13
 
0.3%

점검일자
Real number (ℝ)

Distinct254
Distinct (%)5.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean20154120
Minimum20080825
Maximum20240313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:57.313990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080825
5-th percentile20110520
Q120130521
median20151013
Q320171107
95-th percentile20211111
Maximum20240313
Range159488
Interquartile range (IQR)40586

Descriptive statistics

Standard deviation33967.188
Coefficient of variation (CV)0.001685372
Kurtosis-0.21917417
Mean20154120
Median Absolute Deviation (MAD)20492
Skewness0.32163183
Sum9.3434498 × 1010
Variance1.1537699 × 109
MonotonicityNot monotonic
2024-05-10T23:22:57.778991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111130 225
 
4.9%
20111129 155
 
3.3%
20130409 133
 
2.9%
20140326 131
 
2.8%
20151119 110
 
2.4%
20160905 93
 
2.0%
20151013 89
 
1.9%
20140123 88
 
1.9%
20140422 86
 
1.9%
20161215 83
 
1.8%
Other values (244) 3443
74.3%
ValueCountFrequency (%)
20080825 2
 
< 0.1%
20080827 1
 
< 0.1%
20080903 1
 
< 0.1%
20080928 38
0.8%
20081112 1
 
< 0.1%
20090113 13
 
0.3%
20090116 5
 
0.1%
20090209 9
 
0.2%
20090212 3
 
0.1%
20090223 1
 
< 0.1%
ValueCountFrequency (%)
20240313 1
 
< 0.1%
20240311 10
 
0.2%
20240305 1
 
< 0.1%
20240229 32
0.7%
20240228 1
 
< 0.1%
20231116 1
 
< 0.1%
20231101 12
 
0.3%
20231016 14
 
0.3%
20230926 61
1.3%
20230920 10
 
0.2%

점검구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
수시
1842 
<NA>
1201 
기타
861 
합동
703 
일제
 
30

Length

Max length4
Median length2
Mean length2.5180073
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수시 1842
39.7%
<NA> 1201
25.9%
기타 861
18.6%
합동 703
 
15.2%
일제 30
 
0.6%

Length

2024-05-10T23:22:58.250372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:58.560035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 1842
39.7%
na 1201
25.9%
기타 861
18.6%
합동 703
 
15.2%
일제 30
 
0.6%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4637
Missing (%)100.0%
Memory size40.9 KiB

점검결과코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
1
3252 
<NA>
1202 
2
 
183

Length

Max length4
Median length1
Mean length1.777658
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3252
70.1%
<NA> 1202
 
25.9%
2 183
 
3.9%

Length

2024-05-10T23:22:58.781802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:22:58.979769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3252
70.1%
na 1202
 
25.9%
2 183
 
3.9%

(구)제조유통기한
Real number (ℝ)

MISSING 

Distinct178
Distinct (%)73.0%
Missing4393
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean20119222
Minimum20110210
Maximum20160513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2024-05-10T23:22:59.328962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110210
5-th percentile20110727
Q120110930
median20120309
Q320120922
95-th percentile20130822
Maximum20160513
Range50303
Interquartile range (IQR)9992.5

Descriptive statistics

Standard deviation8431
Coefficient of variation (CV)0.00041905198
Kurtosis2.2441213
Mean20119222
Median Absolute Deviation (MAD)9191
Skewness1.1616111
Sum4.9090902 × 109
Variance71081762
MonotonicityNot monotonic
2024-05-10T23:22:59.617696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110727 7
 
0.2%
20111201 4
 
0.1%
20110831 4
 
0.1%
20110909 4
 
0.1%
20110922 4
 
0.1%
20110918 3
 
0.1%
20120401 3
 
0.1%
20111020 3
 
0.1%
20120301 3
 
0.1%
20130701 3
 
0.1%
Other values (168) 206
 
4.4%
(Missing) 4393
94.7%
ValueCountFrequency (%)
20110210 1
 
< 0.1%
20110502 1
 
< 0.1%
20110518 1
 
< 0.1%
20110519 1
 
< 0.1%
20110521 1
 
< 0.1%
20110522 1
 
< 0.1%
20110524 1
 
< 0.1%
20110530 2
 
< 0.1%
20110727 7
0.2%
20110810 1
 
< 0.1%
ValueCountFrequency (%)
20160513 1
< 0.1%
20150228 1
< 0.1%
20140817 1
< 0.1%
20140525 1
< 0.1%
20140509 1
< 0.1%
20140503 1
< 0.1%
20140430 1
< 0.1%
20140427 1
< 0.1%
20140311 1
< 0.1%
20131207 1
< 0.1%

(구)제조회사주소
Text

MISSING 

Distinct119
Distinct (%)62.0%
Missing4445
Missing (%)95.9%
Memory size36.4 KiB
2024-05-10T23:23:00.323287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length24
Mean length16.744792
Min length8

Characters and Unicode

Total characters3215
Distinct characters177
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

Unique87 ?
Unique (%)45.3%

Sample

1st row구의동 546-1 지하1층
2nd row구의동 546-1 지하 1층
3rd row구의동 546-1
4th row구의동 546-1
5th row구의동 546-1
ValueCountFrequency (%)
서울시 66
 
8.8%
광진구 44
 
5.9%
구의동 37
 
5.0%
546-1 31
 
4.2%
경기도 24
 
3.2%
자양동 18
 
2.4%
화양동 14
 
1.9%
강남구 14
 
1.9%
중곡동 11
 
1.5%
역삼동 10
 
1.3%
Other values (275) 477
63.9%
2024-05-10T23:23:01.480539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
556
 
17.3%
1 221
 
6.9%
- 154
 
4.8%
동 153
 
4.8%
구 134
 
4.2%
6 120
 
3.7%
시 114
 
3.5%
4 104
 
3.2%
2 95
 
3.0%
7 74
 
2.3%
Other values (167) 1490
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1611
50.1%
Decimal Number 856
26.6%
Space Separator 556
 
17.3%
Dash Punctuation 154
 
4.8%
Lowercase Letter 33
 
1.0%
Other Punctuation 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 153
 
9.5%
구 134
 
8.3%
시 114
 
7.1%
서 72
 
4.5%
울 68
 
4.2%
광 61
 
3.8%
진 51
 
3.2%
경 45
 
2.8%
양 44
 
2.7%
리 41
 
2.5%
Other values (137) 828
51.4%
Lowercase Letter
ValueCountFrequency (%)
i 7
21.2%
c 4
12.1%
h 3
9.1%
j 3
9.1%
a 3
9.1%
t 3
9.1%
s 2
 
6.1%
p 1
 
3.0%
n 1
 
3.0%
r 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 221
25.8%
6 120
14.0%
4 104
12.1%
2 95
11.1%
7 74
 
8.6%
3 63
 
7.4%
5 60
 
7.0%
9 45
 
5.3%
0 42
 
4.9%
8 32
 
3.7%
Space Separator
ValueCountFrequency (%)
556
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1611
50.1%
Common 1571
48.9%
Latin 33
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 153
 
9.5%
구 134
 
8.3%
시 114
 
7.1%
서 72
 
4.5%
울 68
 
4.2%
광 61
 
3.8%
진 51
 
3.2%
경 45
 
2.8%
양 44
 
2.7%
리 41
 
2.5%
Other values (137) 828
51.4%
Common
ValueCountFrequency (%)
556
35.4%
1 221
 
14.1%
- 154
 
9.8%
6 120
 
7.6%
4 104
 
6.6%
2 95
 
6.0%
7 74
 
4.7%
3 63
 
4.0%
5 60
 
3.8%
9 45
 
2.9%
Other values (5) 79
 
5.0%
Latin
ValueCountFrequency (%)
i 7
21.2%
c 4
12.1%
h 3
9.1%
j 3
9.1%
a 3
9.1%
t 3
9.1%
s 2
 
6.1%
p 1
 
3.0%
n 1
 
3.0%
r 1
 
3.0%
Other values (5) 5
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1611
50.1%
ASCII 1604
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
556
34.7%
1 221
 
13.8%
- 154
 
9.6%
6 120
 
7.5%
4 104
 
6.5%
2 95
 
5.9%
7 74
 
4.6%
3 63
 
3.9%
5 60
 
3.7%
9 45
 
2.8%
Other values (20) 112
 
7.0%
Hangul
ValueCountFrequency (%)
동 153
 
9.5%
구 134
 
8.3%
시 114
 
7.1%
서 72
 
4.5%
울 68
 
4.2%
광 61
 
3.8%
진 51
 
3.2%
경 45
 
2.8%
양 44
 
2.7%
리 41
 
2.5%
Other values (137) 828
51.4%

부적합항목
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing4630
Missing (%)99.8%
Memory size36.4 KiB
2024-05-10T23:23:01.838111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length9
Mean length7.5714286
Min length3

Characters and Unicode

Total characters53
Distinct characters38
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st rowGMO
2nd row대장균
3rd row대장균
4th row제랄레논(기준치 초과 1,081/200)
5th row바삭한쌀과자
ValueCountFrequency (%)
대장균 2
20.0%
gmo 1
10.0%
제랄레논(기준치 1
10.0%
초과 1
10.0%
1,081/200 1
10.0%
바삭한쌀과자 1
10.0%
gmo정성검사 1
10.0%
바실러스 1
10.0%
세레우스 1
10.0%
2024-05-10T23:23:02.630520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3
 
5.7%
3
 
5.7%
레 2
 
3.8%
스 2
 
3.8%
바 2
 
3.8%
장 2
 
3.8%
1 2
 
3.8%
과 2
 
3.8%
대 2
 
3.8%
균 2
 
3.8%
Other values (28) 31
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
62.3%
Decimal Number 7
 
13.2%
Uppercase Letter 6
 
11.3%
Space Separator 3
 
5.7%
Other Punctuation 2
 
3.8%
Close Punctuation 1
 
1.9%
Open Punctuation 1
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
레 2
 
6.1%
스 2
 
6.1%
바 2
 
6.1%
장 2
 
6.1%
과 2
 
6.1%
대 2
 
6.1%
균 2
 
6.1%
논 1
 
3.0%
삭 1
 
3.0%
세 1
 
3.0%
Other values (16) 16
48.5%
Decimal Number
ValueCountFrequency (%)
0 3
42.9%
1 2
28.6%
2 1
 
14.3%
8 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
O 2
33.3%
M 2
33.3%
G 2
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
62.3%
Common 14
26.4%
Latin 6
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
레 2
 
6.1%
스 2
 
6.1%
바 2
 
6.1%
장 2
 
6.1%
과 2
 
6.1%
대 2
 
6.1%
균 2
 
6.1%
논 1
 
3.0%
삭 1
 
3.0%
세 1
 
3.0%
Other values (16) 16
48.5%
Common
ValueCountFrequency (%)
0 3
21.4%
3
21.4%
1 2
14.3%
) 1
 
7.1%
( 1
 
7.1%
2 1
 
7.1%
/ 1
 
7.1%
8 1
 
7.1%
, 1
 
7.1%
Latin
ValueCountFrequency (%)
O 2
33.3%
M 2
33.3%
G 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
62.3%
ASCII 20
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
15.0%
3
15.0%
1 2
10.0%
O 2
10.0%
M 2
10.0%
G 2
10.0%
) 1
 
5.0%
( 1
 
5.0%
2 1
 
5.0%
/ 1
 
5.0%
Other values (2) 2
10.0%
Hangul
ValueCountFrequency (%)
레 2
 
6.1%
스 2
 
6.1%
바 2
 
6.1%
장 2
 
6.1%
과 2
 
6.1%
대 2
 
6.1%
균 2
 
6.1%
논 1
 
3.0%
삭 1
 
3.0%
세 1
 
3.0%
Other values (16) 16
48.5%

기준치부적합내용
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing4632
Missing (%)99.9%
Memory size36.4 KiB
2024-05-10T23:23:02.963176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length6
Mean length6.6
Min length2

Characters and Unicode

Total characters33
Distinct characters22
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row양성
2nd row양성
3rd row200기준 제랄레논(μg/kg)
4th row산가 2.8
5th row27000g
ValueCountFrequency (%)
양성 2
28.6%
200기준 1
14.3%
제랄레논(μg/kg 1
14.3%
산가 1
14.3%
2.8 1
14.3%
27000g 1
14.3%
2024-05-10T23:23:03.746157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
15.2%
g 3
 
9.1%
2 3
 
9.1%
양 2
 
6.1%
2
 
6.1%
성 2
 
6.1%
8 1
 
3.0%
. 1
 
3.0%
가 1
 
3.0%
산 1
 
3.0%
Other values (12) 12
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
36.4%
Decimal Number 10
30.3%
Lowercase Letter 5
15.2%
Space Separator 2
 
6.1%
Other Punctuation 2
 
6.1%
Close Punctuation 1
 
3.0%
Open Punctuation 1
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 2
16.7%
성 2
16.7%
가 1
8.3%
산 1
8.3%
논 1
8.3%
레 1
8.3%
랄 1
8.3%
제 1
8.3%
준 1
8.3%
기 1
8.3%
Decimal Number
ValueCountFrequency (%)
0 5
50.0%
2 3
30.0%
8 1
 
10.0%
7 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
g 3
60.0%
k 1
 
20.0%
μ 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16
48.5%
Hangul 12
36.4%
Latin 4
 
12.1%
Greek 1
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 2
16.7%
성 2
16.7%
가 1
8.3%
산 1
8.3%
논 1
8.3%
레 1
8.3%
랄 1
8.3%
제 1
8.3%
준 1
8.3%
기 1
8.3%
Common
ValueCountFrequency (%)
0 5
31.2%
2 3
18.8%
2
 
12.5%
8 1
 
6.2%
. 1
 
6.2%
) 1
 
6.2%
/ 1
 
6.2%
( 1
 
6.2%
7 1
 
6.2%
Latin
ValueCountFrequency (%)
g 3
75.0%
k 1
 
25.0%
Greek
ValueCountFrequency (%)
μ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20
60.6%
Hangul 12
36.4%
None 1
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
25.0%
g 3
15.0%
2 3
15.0%
2
 
10.0%
8 1
 
5.0%
. 1
 
5.0%
) 1
 
5.0%
k 1
 
5.0%
/ 1
 
5.0%
( 1
 
5.0%
Hangul
ValueCountFrequency (%)
양 2
16.7%
성 2
16.7%
가 1
8.3%
산 1
8.3%
논 1
8.3%
레 1
8.3%
랄 1
8.3%
제 1
8.3%
준 1
8.3%
기 1
8.3%
None
ValueCountFrequency (%)
μ 1
100.0%

Sample

시군구코드업종코드업종명계획구분코드계획구분명지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드바코드번호어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리구분수거검사구분코드단속지역구분코드수거장소구분코드처리결과수거품처리교부번호폐기일자폐기량(Kg)폐기금액(원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검내용점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용
03040000101일반음식점2<NA>식중독 안전 광진 만들기<NA>105-07-식05검사용서북면옥G01000000<NA>조리식품 등냉면육수<NA><NA><NA>20150728<NA><NA><NA>1L20150728<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19760039010<NA><NA><NA><NA><NA>서울특별시 광진구 자양로 199-1, (구의동)서울특별시 광진구 구의동 80번지 47호02 4578319위생점검(전체)20150728합동<NA>2<NA><NA><NA><NA>
13040000101일반음식점7<NA>한우 취급음식점 유전자 검사(점검)<NA>105-7-128검사용부림정숯불갈비121000000식육류중육류소고기한우<NA><NA><NA>201307231100g<NA>20130723<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>19790039028<NA><NA><NA><NA><NA>서울특별시 광진구 뚝섬로 476-7, (자양동)서울특별시 광진구 자양동 52번지 2호02 4635455위생점검(전체)20130723합동<NA>1<NA><NA><NA><NA>
23040000101일반음식점999<NA>민원업처리 등<NA>105-10월-3검사용금수산<NA><NA>조리식품 등개고기 수육<NA><NA><NA>201710191200g<NA>20171019<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19800039078<NA><NA><NA><NA><NA>서울특별시 광진구 용마산로 13, (중곡동)서울특별시 광진구 중곡동 117번지 33호02 4577486위생점검(전체)20171019기타<NA>1<NA><NA><NA><NA>
33040000101일반음식점7<NA>한우 취급음식점 유전자 검사(점검)<NA>105-7-116검사용(주)장군갈비121000000식육류중육류소고기한우(등심)<NA>식육<NA>201307231100g<NA>20130723<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>19800039017<NA><NA><NA><NA><NA>서울특별시 광진구 용마산로 11, (중곡동)서울특별시 광진구 중곡동 117번지 11호02 4573241위생점검(전체)20130723합동<NA>1<NA><NA><NA><NA>
43040000101일반음식점7<NA>2019년 한우유전자검사<NA>105-7-식53검사용(주)장군갈비B01010100F1000소고기소고기갈비살<NA><NA><NA>201907241100g<NA>20190724<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>19800039017<NA><NA><NA><NA><NA>서울특별시 광진구 용마산로 11, (중곡동)서울특별시 광진구 중곡동 117번지 11호02 4573241위생점검(전체)20190724수시<NA>1<NA><NA><NA><NA>
53040000101일반음식점7<NA>2019년 한우유전자검사<NA>105-7-식54검사용(주)장군갈비B01010100F1000소고기소고기우둔살<NA><NA><NA>201907241100g<NA>20190724<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>19800039017<NA><NA><NA><NA><NA>서울특별시 광진구 용마산로 11, (중곡동)서울특별시 광진구 중곡동 117번지 11호02 4573241위생점검(전체)20190724수시<NA>1<NA><NA><NA><NA>
63040000101일반음식점2<NA>2016 식중독 안전 광진 만들기<NA>105-10-식6검사용금문G0400000000000기타사용 중인 튀김용 유지튀김기름<NA><NA><NA>201610282300ML<NA>20161028<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19800039013<NA><NA><NA><NA><NA>서울특별시 광진구 자양로 93, (자양동)서울특별시 광진구 자양동 626번지 5호02 4562345위생점검(전체)20161028수시<NA>1<NA><NA><NA><NA>
73040000101일반음식점7<NA>위생취약지역 관리식품 수거검사<NA>105-7월-13검사용금문<NA><NA>조리식품 등탕수육<NA><NA><NA>201707181600g<NA>20170718<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19800039013<NA><NA><NA><NA><NA>서울특별시 광진구 자양로 93, (자양동)서울특별시 광진구 자양동 626번지 5호02 4562345수거20170718기타<NA>1<NA><NA><NA><NA>
83040000101일반음식점7<NA>2019년 한우유전자검사<NA>105-8-식23검사용명동곱창B01010100F1000소고기소고기대창<NA><NA><NA>201908291100g<NA>20190829<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>19810039013<NA><NA><NA><NA><NA>서울특별시 광진구 군자로 50, 1층 (화양동)서울특별시 광진구 화양동 119번지 5호02 4641114위생점검(전체)20190829수시<NA>1<NA><NA><NA><NA>
93040000101일반음식점7<NA>2019년 한우유전자검사<NA>105-8-식24검사용명동곱창B01010100F1000소고기소고기염통<NA><NA><NA>201908291100g<NA>20190829<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>19810039013<NA><NA><NA><NA><NA>서울특별시 광진구 군자로 50, 1층 (화양동)서울특별시 광진구 화양동 119번지 5호02 4641114위생점검(전체)20190829수시<NA>1<NA><NA><NA><NA>
시군구코드업종코드업종명계획구분코드계획구분명지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드바코드번호어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리구분수거검사구분코드단속지역구분코드수거장소구분코드처리결과수거품처리교부번호폐기일자폐기량(Kg)폐기금액(원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검내용점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용
46273040000134건강기능식품일반판매업1<NA>추석 명절 성수식품 제조판매업소 점검<NA>105-3-23검사용미르컴퍼니A0700800000000영지버섯영지버섯영지버섯<NA><NA><NA>20180316380g<NA>20180101<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>20110039010<NA><NA><NA><NA><NA>서울특별시 광진구 천호대로102길 20, 2층 202호 (군자동)서울특별시 광진구 군자동 464번지 24호 -2020226376860위생점검(전체)20170922합동<NA>1<NA><NA><NA><NA>
46283040000134건강기능식품일반판매업1<NA>추석 명절 성수식품 제조판매업소 점검<NA>105-3-22검사용미르컴퍼니A1200300000000결명자결명자결명자<NA><NA><NA>201803161250g<NA>20180101<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>20110039010<NA><NA><NA><NA><NA>서울특별시 광진구 천호대로102길 20, 2층 202호 (군자동)서울특별시 광진구 군자동 464번지 24호 -2020226376860위생점검(전체)20170922합동<NA>1<NA><NA><NA><NA>
46293040000134건강기능식품일반판매업1<NA>추석 명절 성수식품 제조판매업소 점검<NA>105-3-21검사용미르컴퍼니A0600405300000당귀당귀당귀<NA><NA><NA>201803162100g<NA>20180101<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>20110039010<NA><NA><NA><NA><NA>서울특별시 광진구 천호대로102길 20, 2층 202호 (군자동)서울특별시 광진구 군자동 464번지 24호 -2020226376860위생점검(전체)20170922합동<NA>1<NA><NA><NA><NA>
46303040000134건강기능식품일반판매업999<NA>2017년 건강기능식품판매업 관리<NA>105-7-4-건1검사용아리따움건대1번출구점E0200600000000녹차추출물녹차추출물슬림컷<NA><NA><NA>20170704140.39g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120170705201707181<NA><NA><NA><NA><NA><NA>20120039080<NA><NA><NA><NA><NA>서울특별시 광진구 아차산로29길 17, (화양동)서울특별시 광진구 화양동 47번지 71호<NA>수거20170704기타<NA>1<NA><NA><NA><NA>
46313040000134건강기능식품일반판매업999<NA>2017년 건강기능식품판매업 관리<NA>105-7-4-건2검사용아리따움건대1번출구점E0203600000000난소화성말토덱스트린난소화성말토덱스트린슬리머<NA><NA><NA>201707041700ML<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120170705201707181<NA><NA><NA><NA><NA><NA>20120039080<NA><NA><NA><NA><NA>서울특별시 광진구 아차산로29길 17, (화양동)서울특별시 광진구 화양동 47번지 71호<NA>수거20170704기타<NA>1<NA><NA><NA><NA>
46323040000134건강기능식품일반판매업999<NA>2017년 건강기능식품판매업 관리<NA>105-7-4-건3검사용(주)지에스리테일H&B건대2호점E0101400000000비타민 C비타민 C고려은단비타민C1000<NA><NA><NA>201707042129.6g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120170705201707181<NA><NA><NA><NA><NA><NA>20170039477<NA><NA><NA><NA><NA>서울특별시 광진구 아차산로 225, (화양동)서울특별시 광진구 화양동 7번지 44호02 4697553수거20170704기타<NA>1<NA><NA><NA><NA>
46333040000134건강기능식품일반판매업999<NA>2017년 건강기능식품판매업 관리<NA>105-7-4-건4검사용(주)지에스리테일H&B건대2호점E0202500000000가르시니아캄보지아 추출물가르시니아캄보지아 추출물가르시니아<NA><NA><NA>20170704272g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120170705201707181<NA><NA><NA><NA><NA><NA>20170039477<NA><NA><NA><NA><NA>서울특별시 광진구 아차산로 225, (화양동)서울특별시 광진구 화양동 7번지 44호02 4697553수거20170704기타<NA>1<NA><NA><NA><NA>
46343040000134건강기능식품일반판매업999<NA>2017년 건강기능식품판매업 관리<NA>105-7-4-건5검사용(주)지에스리테일H&B건대2호점X0100018600000비타민/오메가-3지방산함유유지비타민/오메가-3지방산함유유지SUPER TRIPLE-ACTION MULTI+OMEGA<NA><NA><NA>20170704281.9g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국외호주120170705201707181<NA><NA><NA><NA><NA><NA>20170039477<NA><NA><NA><NA><NA>서울특별시 광진구 아차산로 225, (화양동)서울특별시 광진구 화양동 7번지 44호02 4697553수거20170704기타<NA>1<NA><NA><NA><NA>
46353040000134건강기능식품일반판매업<NA><NA><NA><NA>105-9-31검사용뉴트라라이프 롯데 건대스타시티점E0100400000000비타민 E비타민 EALIVE! ONCE DAILY FOR MEN(105-9-31)<NA><NA><NA>20210901397.9g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국외미국120210902<NA><NA><NA><NA><NA><NA><NA><NA>20210039863<NA><NA><NA><NA><NA>서울특별시 광진구 능동로 92, 롯데백화점 지하1층 (자양동)서울특별시 광진구 자양동 227번지 342호 롯데백화점051 704 8040수거20210901합동<NA>1<NA><NA><NA><NA>
46363040000134건강기능식품일반판매업<NA><NA><NA><NA>105-9-32검사용뉴트라라이프 롯데 건대스타시티점E0100800000000나이아신나이아신ALIVE! ONCE DAILY FOR WOMEN(105-9-32)<NA><NA><NA>202109012115g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국외미국120210902<NA><NA><NA><NA><NA><NA><NA><NA>20210039863<NA><NA><NA><NA><NA>서울특별시 광진구 능동로 92, 롯데백화점 지하1층 (자양동)서울특별시 광진구 자양동 227번지 342호 롯데백화점051 704 8040수거20210901합동<NA>1<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드업종코드업종명계획구분코드지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)유통기한(일자)유통기한(제조일기준)보관상태코드바코드번호어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과교부번호소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용# duplicates
03040000114기타식품판매업<NA><NA>2023년 유통식품 수거검사105-9-26-30검사용(주)이마트자양점C0305020000000기타잼기타잼할라피뇨&피클<NA><NA><NA>202309263210g<NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120230926<NA><NA><NA>20070039084서울특별시 광진구 아차산로 272, 지하1층 (자양동)서울특별시 광진구 자양동 227번지 7호 지하1층0220241050<NA>20230926<NA><NA><NA><NA><NA><NA>2