Overview

Dataset statistics

Number of variables61
Number of observations1793
Missing cells49632
Missing cells (%)45.4%
Duplicate rows10
Duplicate rows (%)0.6%
Total size in memory908.9 KiB
Average record size in memory519.1 B

Variable types

Categorical19
Numeric9
Unsupported16
Text17

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-9839/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
어린이기호식품유형 has constant value ""Constant
Dataset has 10 (0.6%) duplicate rowsDuplicates
계획구분코드 is highly imbalanced (64.1%)Imbalance
지도점검계획 is highly imbalanced (69.6%)Imbalance
수거계획 is highly imbalanced (54.6%)Imbalance
수거사유코드 is highly imbalanced (53.9%)Imbalance
제조일자(롯트) is highly imbalanced (95.2%)Imbalance
국가명 is highly imbalanced (95.6%)Imbalance
부적합항목 is highly imbalanced (97.2%)Imbalance
기준치부적합내용 is highly imbalanced (98.1%)Imbalance
계획구분명 has 1793 (100.0%) missing valuesMissing
수거증번호 has 646 (36.0%) missing valuesMissing
식품군코드 has 75 (4.2%) missing valuesMissing
식품군 has 350 (19.5%) missing valuesMissing
품목명 has 262 (14.6%) missing valuesMissing
음식물명 has 1779 (99.2%) missing valuesMissing
원료명 has 1781 (99.3%) missing valuesMissing
생산업소 has 1729 (96.4%) missing valuesMissing
수거량(정량) has 41 (2.3%) missing valuesMissing
제품규격(정량) has 687 (38.3%) missing valuesMissing
수거량(자유) has 1752 (97.7%) missing valuesMissing
제조일자(일자) has 1224 (68.3%) missing valuesMissing
유통기한(일자) has 1793 (100.0%) missing valuesMissing
유통기한(제조일기준) has 1676 (93.5%) missing valuesMissing
바코드번호 has 1793 (100.0%) missing valuesMissing
어린이기호식품유형 has 1791 (99.9%) missing valuesMissing
(구)제조사명 has 1765 (98.4%) missing valuesMissing
검사의뢰일자 has 1098 (61.2%) missing valuesMissing
결과회보일자 has 1473 (82.2%) missing valuesMissing
처리구분 has 1793 (100.0%) missing valuesMissing
수거검사구분코드 has 1793 (100.0%) missing valuesMissing
단속지역구분코드 has 1793 (100.0%) missing valuesMissing
수거장소구분코드 has 1793 (100.0%) missing valuesMissing
처리결과 has 1786 (99.6%) missing valuesMissing
수거품처리 has 1793 (100.0%) missing valuesMissing
폐기일자 has 1793 (100.0%) missing valuesMissing
폐기량(Kg) has 1793 (100.0%) missing valuesMissing
폐기금액(원) has 1793 (100.0%) missing valuesMissing
폐기장소 has 1793 (100.0%) missing valuesMissing
폐기방법 has 1793 (100.0%) missing valuesMissing
소재지(도로명) has 747 (41.7%) missing valuesMissing
업소전화번호 has 270 (15.1%) missing valuesMissing
점검내용 has 1793 (100.0%) missing valuesMissing
(구)제조유통기한 has 1793 (100.0%) missing valuesMissing
(구)제조회사주소 has 1793 (100.0%) missing valuesMissing
계획구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유통기한(일자) is an unsupported type, check if it needs cleaning or further analysisUnsupported
바코드번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
처리구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거검사구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단속지역구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거장소구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거품처리 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기량(Kg) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기금액(원) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기장소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기방법 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
(구)제조유통기한 is an unsupported type, check if it needs cleaning or further analysisUnsupported
(구)제조회사주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-04 00:04:48.106386
Analysis finished2024-05-04 00:04:53.541421
Duration5.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
3000000
1793 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 1793
100.0%

Length

2024-05-04T00:04:53.767065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:04:54.135128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 1793
100.0%

업종코드
Real number (ℝ)

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.32571
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:04:54.499548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1104
median114
Q3114
95-th percentile114
Maximum134
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.127654
Coefficient of variation (CV)0.064605557
Kurtosis1.6619504
Mean110.32571
Median Absolute Deviation (MAD)0
Skewness0.66204837
Sum197814
Variance50.803451
MonotonicityNot monotonic
2024-05-04T00:04:54.995155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
114 990
55.2%
101 436
24.3%
105 133
 
7.4%
112 61
 
3.4%
134 56
 
3.1%
107 39
 
2.2%
104 37
 
2.1%
106 25
 
1.4%
122 10
 
0.6%
121 6
 
0.3%
ValueCountFrequency (%)
101 436
24.3%
104 37
 
2.1%
105 133
 
7.4%
106 25
 
1.4%
107 39
 
2.2%
112 61
 
3.4%
114 990
55.2%
121 6
 
0.3%
122 10
 
0.6%
134 56
 
3.1%
ValueCountFrequency (%)
134 56
 
3.1%
122 10
 
0.6%
121 6
 
0.3%
114 990
55.2%
112 61
 
3.4%
107 39
 
2.2%
106 25
 
1.4%
105 133
 
7.4%
104 37
 
2.1%
101 436
24.3%

업종명
Categorical

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
기타식품판매업
990 
일반음식점
436 
집단급식소
133 
식품자동판매기영업
 
61
건강기능식품일반판매업
 
56
Other values (5)
117 

Length

Max length11
Median length7
Mean length6.5705521
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 990
55.2%
일반음식점 436
24.3%
집단급식소 133
 
7.4%
식품자동판매기영업 61
 
3.4%
건강기능식품일반판매업 56
 
3.1%
즉석판매제조가공업 39
 
2.2%
휴게음식점 37
 
2.1%
식품제조가공업 25
 
1.4%
집단급식소식품판매업 10
 
0.6%
제과점영업 6
 
0.3%

Length

2024-05-04T00:04:55.631749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:04:56.094591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 990
55.2%
일반음식점 436
24.3%
집단급식소 133
 
7.4%
식품자동판매기영업 61
 
3.4%
건강기능식품일반판매업 56
 
3.1%
즉석판매제조가공업 39
 
2.2%
휴게음식점 37
 
2.1%
식품제조가공업 25
 
1.4%
집단급식소식품판매업 10
 
0.6%
제과점영업 6
 
0.3%

계획구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
<NA>
1451 
999
339 
8
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.8059119
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row999
5th row999

Common Values

ValueCountFrequency (%)
<NA> 1451
80.9%
999 339
 
18.9%
8 2
 
0.1%
3 1
 
0.1%

Length

2024-05-04T00:04:56.770565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:04:57.170835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1451
80.9%
999 339
 
18.9%
8 2
 
0.1%
3 1
 
0.1%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

지도점검계획
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
<NA>
1451 
2023년 안전팀 식품안전관리 지도점검
180 
2021년 식품안전팀 업무 관련 지도점검
 
99
2023년 식품접객업소 주간단속
 
33
식품 접객업 한우 판매업소 한우 수거( 한우유전자검사)
 
12
Other values (6)
 
18

Length

Max length30
Median length4
Mean length7.26715
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2024년 안전팀 식품안전관리 지도점검
5th row2024년 안전팀 식품안전관리 지도점검

Common Values

ValueCountFrequency (%)
<NA> 1451
80.9%
2023년 안전팀 식품안전관리 지도점검 180
 
10.0%
2021년 식품안전팀 업무 관련 지도점검 99
 
5.5%
2023년 식품접객업소 주간단속 33
 
1.8%
식품 접객업 한우 판매업소 한우 수거( 한우유전자검사) 12
 
0.7%
2024년 안전팀 식품안전관리 지도점검 10
 
0.6%
식품접객업 원산지 지도 점검 2
 
0.1%
2022년 식품접객업소 주간단속 2
 
0.1%
허위성적서 발급 식품제조업체 제품 수거검사 2
 
0.1%
여름철 다소비식품 안전관리 1
 
0.1%

Length

2024-05-04T00:04:57.626305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1451
49.7%
지도점검 289
 
9.9%
2023년 213
 
7.3%
안전팀 190
 
6.5%
식품안전관리 190
 
6.5%
2021년 99
 
3.4%
식품안전팀 99
 
3.4%
업무 99
 
3.4%
관련 99
 
3.4%
식품접객업소 36
 
1.2%
Other values (22) 153
 
5.2%

수거계획
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
<NA>
1348 
식품접객업소 식중독예방 수검검사
230 
식품유형별 표본검사
 
105
소고기 원산지 수거검사 계획
 
49
쇠고기 수거검사 계획
 
40
Other values (2)
 
21

Length

Max length30
Median length4
Mean length6.7769102
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> 1348
75.2%
식품접객업소 식중독예방 수검검사 230
 
12.8%
식품유형별 표본검사 105
 
5.9%
소고기 원산지 수거검사 계획 49
 
2.7%
쇠고기 수거검사 계획 40
 
2.2%
2019년도 서울시 위생용품 지도점검 및 수거검사 계획 19
 
1.1%
2020 식품접객업소 한우 유전자 수거 검사 계획 2
 
0.1%

Length

2024-05-04T00:04:58.127734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:04:58.516034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1348
49.7%
식품접객업소 232
 
8.6%
식중독예방 230
 
8.5%
수검검사 230
 
8.5%
계획 110
 
4.1%
수거검사 108
 
4.0%
식품유형별 105
 
3.9%
표본검사 105
 
3.9%
소고기 49
 
1.8%
원산지 49
 
1.8%
Other values (11) 145
 
5.3%

수거증번호
Text

MISSING 

Distinct1071
Distinct (%)93.4%
Missing646
Missing (%)36.0%
Memory size14.1 KiB
2024-05-04T00:04:59.267711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.36966
Min length1

Characters and Unicode

Total characters7306
Distinct characters60
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

Unique1006 ?
Unique (%)87.7%

Sample

1st row24종로어린이기호-1
2nd row2024-위생-7
3rd row2024-위생-8
4th row종로다소비24-7
5th row종로다소비24-1
ValueCountFrequency (%)
종로 23
 
2.0%
31 3
 
0.3%
27 3
 
0.3%
23 3
 
0.3%
12 3
 
0.3%
20 3
 
0.3%
29 3
 
0.3%
28 3
 
0.3%
18 3
 
0.3%
26 3
 
0.3%
Other values (1061) 1122
95.7%
2024-05-04T00:05:00.588004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1087
14.9%
1 955
13.1%
2 783
10.7%
종 543
 
7.4%
0 496
 
6.8%
로 484
 
6.6%
3 457
 
6.3%
4 282
 
3.9%
5 236
 
3.2%
9 230
 
3.1%
Other values (50) 1753
24.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3916
53.6%
Other Letter 2220
30.4%
Dash Punctuation 1087
 
14.9%
Uppercase Letter 54
 
0.7%
Space Separator 26
 
0.4%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 543
24.5%
로 484
21.8%
다 171
 
7.7%
소 171
 
7.7%
비 171
 
7.7%
구 118
 
5.3%
위 70
 
3.2%
생 70
 
3.2%
수 52
 
2.3%
거 43
 
1.9%
Other values (33) 327
14.7%
Decimal Number
ValueCountFrequency (%)
1 955
24.4%
2 783
20.0%
0 496
12.7%
3 457
11.7%
4 282
 
7.2%
5 236
 
6.0%
9 230
 
5.9%
6 183
 
4.7%
7 154
 
3.9%
8 140
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
G 18
33.3%
M 18
33.3%
O 18
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1087
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5032
68.9%
Hangul 2220
30.4%
Latin 54
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 543
24.5%
로 484
21.8%
다 171
 
7.7%
소 171
 
7.7%
비 171
 
7.7%
구 118
 
5.3%
위 70
 
3.2%
생 70
 
3.2%
수 52
 
2.3%
거 43
 
1.9%
Other values (33) 327
14.7%
Common
ValueCountFrequency (%)
- 1087
21.6%
1 955
19.0%
2 783
15.6%
0 496
9.9%
3 457
9.1%
4 282
 
5.6%
5 236
 
4.7%
9 230
 
4.6%
6 183
 
3.6%
7 154
 
3.1%
Other values (4) 169
 
3.4%
Latin
ValueCountFrequency (%)
G 18
33.3%
M 18
33.3%
O 18
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5086
69.6%
Hangul 2220
30.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1087
21.4%
1 955
18.8%
2 783
15.4%
0 496
9.8%
3 457
9.0%
4 282
 
5.5%
5 236
 
4.6%
9 230
 
4.5%
6 183
 
3.6%
7 154
 
3.0%
Other values (7) 223
 
4.4%
Hangul
ValueCountFrequency (%)
종 543
24.5%
로 484
21.8%
다 171
 
7.7%
소 171
 
7.7%
비 171
 
7.7%
구 118
 
5.3%
위 70
 
3.2%
생 70
 
3.2%
수 52
 
2.3%
거 43
 
1.9%
Other values (33) 327
14.7%

수거사유코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
검사용
1030 
<NA>
743 
기타
 
15
증거용
 
3
압류
 
2

Length

Max length4
Median length3
Mean length3.404908
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 1030
57.4%
<NA> 743
41.4%
기타 15
 
0.8%
증거용 3
 
0.2%
압류 2
 
0.1%

Length

2024-05-04T00:05:01.048484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:01.413363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 1030
57.4%
na 743
41.4%
기타 15
 
0.8%
증거용 3
 
0.2%
압류 2
 
0.1%

업소명
Text

Distinct333
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
2024-05-04T00:05:02.005843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length10.911322
Min length1

Characters and Unicode

Total characters19564
Distinct characters428
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

Unique198 ?
Unique (%)11.0%

Sample

1st row대학로떡,호두과자
2nd row서울독립문초등학교
3rd row서울독립문초등학교
4th row홈플러스 익스프레스 광화문점
5th row홈플러스 익스프레스 광화문점
ValueCountFrequency (%)
하나로마트 525
 
15.4%
사직점 525
 
15.4%
서서울농협 387
 
11.3%
코스코마트 146
 
4.3%
서서울농협유통분사 138
 
4.0%
주)지에스리테일gs수퍼종로구기점 102
 
3.0%
광화문점 73
 
2.1%
서울청사 62
 
1.8%
푸르미 62
 
1.8%
어린이집 62
 
1.8%
Other values (413) 1337
39.1%
2024-05-04T00:05:03.037744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1626
 
8.3%
서 1155
 
5.9%
점 926
 
4.7%
마 806
 
4.1%
로 790
 
4.0%
사 773
 
4.0%
트 770
 
3.9%
울 616
 
3.1%
스 589
 
3.0%
하 551
 
2.8%
Other values (418) 10962
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16992
86.9%
Space Separator 1626
 
8.3%
Uppercase Letter 313
 
1.6%
Open Punctuation 251
 
1.3%
Close Punctuation 251
 
1.3%
Lowercase Letter 75
 
0.4%
Decimal Number 50
 
0.3%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1155
 
6.8%
점 926
 
5.4%
마 806
 
4.7%
로 790
 
4.6%
사 773
 
4.5%
트 770
 
4.5%
울 616
 
3.6%
스 589
 
3.5%
하 551
 
3.2%
나 537
 
3.2%
Other values (377) 9479
55.8%
Uppercase Letter
ValueCountFrequency (%)
S 127
40.6%
G 121
38.7%
W 16
 
5.1%
A 8
 
2.6%
D 8
 
2.6%
B 5
 
1.6%
U 5
 
1.6%
K 5
 
1.6%
Y 5
 
1.6%
M 4
 
1.3%
Other values (4) 9
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
n 15
20.0%
i 15
20.0%
e 8
10.7%
a 6
 
8.0%
c 6
 
8.0%
o 5
 
6.7%
p 5
 
6.7%
g 5
 
6.7%
l 3
 
4.0%
f 2
 
2.7%
Other values (4) 5
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 19
38.0%
1 12
24.0%
4 8
16.0%
3 4
 
8.0%
5 3
 
6.0%
7 2
 
4.0%
9 1
 
2.0%
6 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
? 2
33.3%
Space Separator
ValueCountFrequency (%)
1626
100.0%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16992
86.9%
Common 2184
 
11.2%
Latin 388
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1155
 
6.8%
점 926
 
5.4%
마 806
 
4.7%
로 790
 
4.6%
사 773
 
4.5%
트 770
 
4.5%
울 616
 
3.6%
스 589
 
3.5%
하 551
 
3.2%
나 537
 
3.2%
Other values (377) 9479
55.8%
Latin
ValueCountFrequency (%)
S 127
32.7%
G 121
31.2%
W 16
 
4.1%
n 15
 
3.9%
i 15
 
3.9%
A 8
 
2.1%
e 8
 
2.1%
D 8
 
2.1%
a 6
 
1.5%
c 6
 
1.5%
Other values (18) 58
14.9%
Common
ValueCountFrequency (%)
1626
74.5%
( 251
 
11.5%
) 251
 
11.5%
2 19
 
0.9%
1 12
 
0.5%
4 8
 
0.4%
3 4
 
0.2%
, 4
 
0.2%
5 3
 
0.1%
7 2
 
0.1%
Other values (3) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16992
86.9%
ASCII 2572
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1626
63.2%
( 251
 
9.8%
) 251
 
9.8%
S 127
 
4.9%
G 121
 
4.7%
2 19
 
0.7%
W 16
 
0.6%
n 15
 
0.6%
i 15
 
0.6%
1 12
 
0.5%
Other values (31) 119
 
4.6%
Hangul
ValueCountFrequency (%)
서 1155
 
6.8%
점 926
 
5.4%
마 806
 
4.7%
로 790
 
4.6%
사 773
 
4.5%
트 770
 
4.5%
울 616
 
3.6%
스 589
 
3.5%
하 551
 
3.2%
나 537
 
3.2%
Other values (377) 9479
55.8%

식품군코드
Text

MISSING 

Distinct241
Distinct (%)14.0%
Missing75
Missing (%)4.2%
Memory size14.1 KiB
2024-05-04T00:05:03.653656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length11.668219
Min length1

Characters and Unicode

Total characters20046
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

Unique90 ?
Unique (%)5.2%

Sample

1st rowC0301050000000
2nd rowG0100000100000
3rd rowG0300000300000
4th rowC0312020200000
5th rowC0312010100000
ValueCountFrequency (%)
g0100000100000 225
 
15.5%
821000000 68
 
4.7%
830000000 61
 
4.2%
b01010100f1000 51
 
3.5%
201000000 39
 
2.7%
g0300000300000 35
 
2.4%
420000000 31
 
2.1%
829000000 28
 
1.9%
410000000 27
 
1.9%
801000000 26
 
1.8%
Other values (229) 865
59.4%
2024-05-04T00:05:04.991233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12525
62.5%
2222
 
11.1%
1 1796
 
9.0%
2 748
 
3.7%
3 707
 
3.5%
C 508
 
2.5%
8 415
 
2.1%
G 288
 
1.4%
4 200
 
1.0%
9 141
 
0.7%
Other values (10) 496
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16817
83.9%
Space Separator 2222
 
11.1%
Uppercase Letter 1007
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12525
74.5%
1 1796
 
10.7%
2 748
 
4.4%
3 707
 
4.2%
8 415
 
2.5%
4 200
 
1.2%
9 141
 
0.8%
5 111
 
0.7%
7 96
 
0.6%
6 78
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 508
50.4%
G 288
28.6%
B 63
 
6.3%
F 52
 
5.2%
E 50
 
5.0%
H 32
 
3.2%
A 7
 
0.7%
X 5
 
0.5%
Z 2
 
0.2%
Space Separator
ValueCountFrequency (%)
2222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19039
95.0%
Latin 1007
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12525
65.8%
2222
 
11.7%
1 1796
 
9.4%
2 748
 
3.9%
3 707
 
3.7%
8 415
 
2.2%
4 200
 
1.1%
9 141
 
0.7%
5 111
 
0.6%
7 96
 
0.5%
Latin
ValueCountFrequency (%)
C 508
50.4%
G 288
28.6%
B 63
 
6.3%
F 52
 
5.2%
E 50
 
5.0%
H 32
 
3.2%
A 7
 
0.7%
X 5
 
0.5%
Z 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20046
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12525
62.5%
2222
 
11.1%
1 1796
 
9.0%
2 748
 
3.7%
3 707
 
3.5%
C 508
 
2.5%
8 415
 
2.1%
G 288
 
1.4%
4 200
 
1.0%
9 141
 
0.7%
Other values (10) 496
 
2.5%

식품군
Text

MISSING 

Distinct191
Distinct (%)13.2%
Missing350
Missing (%)19.5%
Memory size14.1 KiB
2024-05-04T00:05:06.083336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length17
Mean length6.01386
Min length1

Characters and Unicode

Total characters8678
Distinct characters267
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

Unique68 ?
Unique (%)4.7%

Sample

1st row떡류
2nd row조리식품 등
3rd row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
4th row마요네즈
5th row발효식초
ValueCountFrequency (%)
등 263
 
11.5%
조리식품 227
 
9.9%
조미식품 68
 
3.0%
과자류 65
 
2.8%
규격외일반가공식품 61
 
2.7%
소고기 51
 
2.2%
제외한다 45
 
2.0%
것은 45
 
2.0%
중인 45
 
2.0%
및 38
 
1.7%
Other values (212) 1387
60.4%
2024-05-04T00:05:07.575675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
852
 
9.8%
품 576
 
6.6%
식 543
 
6.3%
류 410
 
4.7%
조 338
 
3.9%
기 286
 
3.3%
리 285
 
3.3%
등 280
 
3.2%
가 276
 
3.2%
공 184
 
2.1%
Other values (257) 4648
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7490
86.3%
Space Separator 852
 
9.8%
Other Punctuation 161
 
1.9%
Close Punctuation 74
 
0.9%
Open Punctuation 74
 
0.9%
Uppercase Letter 14
 
0.2%
Decimal Number 9
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 576
 
7.7%
식 543
 
7.2%
류 410
 
5.5%
조 338
 
4.5%
기 286
 
3.8%
리 285
 
3.8%
등 280
 
3.7%
가 276
 
3.7%
공 184
 
2.5%
용 175
 
2.3%
Other values (237) 4137
55.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
A 3
21.4%
B 2
14.3%
D 2
14.3%
E 1
 
7.1%
P 1
 
7.1%
H 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
3 2
22.2%
1 2
22.2%
2 2
22.2%
6 1
11.1%
0 1
11.1%
4 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 105
65.2%
. 51
31.7%
/ 5
 
3.1%
Space Separator
ValueCountFrequency (%)
852
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7490
86.3%
Common 1174
 
13.5%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 576
 
7.7%
식 543
 
7.2%
류 410
 
5.5%
조 338
 
4.5%
기 286
 
3.8%
리 285
 
3.8%
등 280
 
3.7%
가 276
 
3.7%
공 184
 
2.5%
용 175
 
2.3%
Other values (237) 4137
55.2%
Common
ValueCountFrequency (%)
852
72.6%
, 105
 
8.9%
) 74
 
6.3%
( 74
 
6.3%
. 51
 
4.3%
/ 5
 
0.4%
- 4
 
0.3%
3 2
 
0.2%
1 2
 
0.2%
2 2
 
0.2%
Other values (3) 3
 
0.3%
Latin
ValueCountFrequency (%)
C 4
28.6%
A 3
21.4%
B 2
14.3%
D 2
14.3%
E 1
 
7.1%
P 1
 
7.1%
H 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7490
86.3%
ASCII 1188
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
852
71.7%
, 105
 
8.8%
) 74
 
6.2%
( 74
 
6.2%
. 51
 
4.3%
/ 5
 
0.4%
- 4
 
0.3%
C 4
 
0.3%
A 3
 
0.3%
3 2
 
0.2%
Other values (10) 14
 
1.2%
Hangul
ValueCountFrequency (%)
품 576
 
7.7%
식 543
 
7.2%
류 410
 
5.5%
조 338
 
4.5%
기 286
 
3.8%
리 285
 
3.8%
등 280
 
3.7%
가 276
 
3.7%
공 184
 
2.5%
용 175
 
2.3%
Other values (237) 4137
55.2%

품목명
Text

MISSING 

Distinct223
Distinct (%)14.6%
Missing262
Missing (%)14.6%
Memory size14.1 KiB
2024-05-04T00:05:08.209506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length20
Mean length6.1273677
Min length1

Characters and Unicode

Total characters9381
Distinct characters286
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

Unique85 ?
Unique (%)5.6%

Sample

1st row떡류
2nd row조리식품 등
3rd row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
4th row마요네즈
5th row발효식초
ValueCountFrequency (%)
등 298
 
12.0%
조리식품 262
 
10.6%
소고기 115
 
4.6%
곡류가공품 55
 
2.2%
제외한다 47
 
1.9%
것은 47
 
1.9%
중인 47
 
1.9%
과자 38
 
1.5%
및 38
 
1.5%
숟가락 37
 
1.5%
Other values (246) 1494
60.3%
2024-05-04T00:05:09.370239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
947
 
10.1%
품 499
 
5.3%
기 422
 
4.5%
식 405
 
4.3%
조 340
 
3.6%
리 330
 
3.5%
등 298
 
3.2%
가 296
 
3.2%
류 287
 
3.1%
소 206
 
2.2%
Other values (276) 5351
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8014
85.4%
Space Separator 947
 
10.1%
Other Punctuation 201
 
2.1%
Open Punctuation 88
 
0.9%
Close Punctuation 88
 
0.9%
Uppercase Letter 21
 
0.2%
Decimal Number 15
 
0.2%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 499
 
6.2%
기 422
 
5.3%
식 405
 
5.1%
조 340
 
4.2%
리 330
 
4.1%
등 298
 
3.7%
가 296
 
3.7%
류 287
 
3.6%
소 206
 
2.6%
용 186
 
2.3%
Other values (256) 4745
59.2%
Uppercase Letter
ValueCountFrequency (%)
A 5
23.8%
C 5
23.8%
D 3
14.3%
B 2
 
9.5%
P 2
 
9.5%
E 2
 
9.5%
H 2
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 8
53.3%
2 2
 
13.3%
3 2
 
13.3%
0 1
 
6.7%
4 1
 
6.7%
6 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 108
53.7%
. 88
43.8%
/ 5
 
2.5%
Space Separator
ValueCountFrequency (%)
947
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8014
85.4%
Common 1346
 
14.3%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 499
 
6.2%
기 422
 
5.3%
식 405
 
5.1%
조 340
 
4.2%
리 330
 
4.1%
등 298
 
3.7%
가 296
 
3.7%
류 287
 
3.6%
소 206
 
2.6%
용 186
 
2.3%
Other values (256) 4745
59.2%
Common
ValueCountFrequency (%)
947
70.4%
, 108
 
8.0%
( 88
 
6.5%
. 88
 
6.5%
) 88
 
6.5%
1 8
 
0.6%
- 7
 
0.5%
/ 5
 
0.4%
2 2
 
0.1%
3 2
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
A 5
23.8%
C 5
23.8%
D 3
14.3%
B 2
 
9.5%
P 2
 
9.5%
E 2
 
9.5%
H 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8014
85.4%
ASCII 1367
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
947
69.3%
, 108
 
7.9%
( 88
 
6.4%
. 88
 
6.4%
) 88
 
6.4%
1 8
 
0.6%
- 7
 
0.5%
A 5
 
0.4%
C 5
 
0.4%
/ 5
 
0.4%
Other values (10) 18
 
1.3%
Hangul
ValueCountFrequency (%)
품 499
 
6.2%
기 422
 
5.3%
식 405
 
5.1%
조 340
 
4.2%
리 330
 
4.1%
등 298
 
3.7%
가 296
 
3.7%
류 287
 
3.6%
소 206
 
2.6%
용 186
 
2.3%
Other values (256) 4745
59.2%

제품명
Text

Distinct1343
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
2024-05-04T00:05:10.040523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length30
Mean length6.6519799
Min length1

Characters and Unicode

Total characters11927
Distinct characters683
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1185 ?
Unique (%)66.1%

Sample

1st row백설기
2nd row와인소스편육
3rd row칼
4th row오뚜기 마요네스
5th row사과식초
ValueCountFrequency (%)
등심 64
 
2.5%
커피 57
 
2.2%
청정원 36
 
1.4%
음용수 19
 
0.7%
오뚜기 16
 
0.6%
백설 15
 
0.6%
칼 14
 
0.5%
식재료 13
 
0.5%
배추김치 12
 
0.5%
김밥 12
 
0.5%
Other values (1653) 2347
90.1%
2024-05-04T00:05:11.149388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
813
 
6.8%
스 225
 
1.9%
리 205
 
1.7%
기 172
 
1.4%
고 142
 
1.2%
이 142
 
1.2%
수 132
 
1.1%
( 131
 
1.1%
) 131
 
1.1%
가 128
 
1.1%
Other values (673) 9706
81.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9890
82.9%
Space Separator 813
 
6.8%
Uppercase Letter 592
 
5.0%
Decimal Number 220
 
1.8%
Open Punctuation 131
 
1.1%
Close Punctuation 131
 
1.1%
Lowercase Letter 90
 
0.8%
Other Punctuation 45
 
0.4%
Dash Punctuation 11
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 225
 
2.3%
리 205
 
2.1%
기 172
 
1.7%
고 142
 
1.4%
이 142
 
1.4%
수 132
 
1.3%
가 128
 
1.3%
치 127
 
1.3%
소 119
 
1.2%
드 111
 
1.1%
Other values (601) 8387
84.8%
Uppercase Letter
ValueCountFrequency (%)
I 55
 
9.3%
E 51
 
8.6%
A 48
 
8.1%
L 41
 
6.9%
S 39
 
6.6%
M 39
 
6.6%
O 37
 
6.2%
C 35
 
5.9%
T 34
 
5.7%
R 30
 
5.1%
Other values (15) 183
30.9%
Lowercase Letter
ValueCountFrequency (%)
m 13
14.4%
e 12
13.3%
a 10
11.1%
i 10
11.1%
x 8
 
8.9%
o 5
 
5.6%
h 3
 
3.3%
t 3
 
3.3%
p 3
 
3.3%
r 3
 
3.3%
Other values (10) 20
22.2%
Decimal Number
ValueCountFrequency (%)
0 54
24.5%
1 51
23.2%
2 27
12.3%
7 27
12.3%
3 25
11.4%
6 12
 
5.5%
5 9
 
4.1%
4 7
 
3.2%
9 5
 
2.3%
8 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 9
20.0%
& 9
20.0%
% 8
17.8%
. 7
15.6%
？ 5
11.1%
; 3
 
6.7%
! 1
 
2.2%
＆ 1
 
2.2%
' 1
 
2.2%
/ 1
 
2.2%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
= 1
33.3%
Space Separator
ValueCountFrequency (%)
813
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
㎖ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9886
82.9%
Common 1355
 
11.4%
Latin 682
 
5.7%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 225
 
2.3%
리 205
 
2.1%
기 172
 
1.7%
고 142
 
1.4%
이 142
 
1.4%
수 132
 
1.3%
가 128
 
1.3%
치 127
 
1.3%
소 119
 
1.2%
드 111
 
1.1%
Other values (599) 8383
84.8%
Latin
ValueCountFrequency (%)
I 55
 
8.1%
E 51
 
7.5%
A 48
 
7.0%
L 41
 
6.0%
S 39
 
5.7%
M 39
 
5.7%
O 37
 
5.4%
C 35
 
5.1%
T 34
 
5.0%
R 30
 
4.4%
Other values (35) 273
40.0%
Common
ValueCountFrequency (%)
813
60.0%
( 131
 
9.7%
) 131
 
9.7%
0 54
 
4.0%
1 51
 
3.8%
2 27
 
2.0%
7 27
 
2.0%
3 25
 
1.8%
6 12
 
0.9%
- 11
 
0.8%
Other values (17) 73
 
5.4%
Han
ValueCountFrequency (%)
茶 3
75.0%
眞 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9885
82.9%
ASCII 2030
 
17.0%
None 6
 
0.1%
CJK Compat Ideographs 3
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
813
40.0%
( 131
 
6.5%
) 131
 
6.5%
I 55
 
2.7%
0 54
 
2.7%
1 51
 
2.5%
E 51
 
2.5%
A 48
 
2.4%
L 41
 
2.0%
S 39
 
1.9%
Other values (59) 616
30.3%
Hangul
ValueCountFrequency (%)
스 225
 
2.3%
리 205
 
2.1%
기 172
 
1.7%
고 142
 
1.4%
이 142
 
1.4%
수 132
 
1.3%
가 128
 
1.3%
치 127
 
1.3%
소 119
 
1.2%
드 111
 
1.1%
Other values (598) 8382
84.8%
None
ValueCountFrequency (%)
？ 5
83.3%
＆ 1
 
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 3
100.0%
CJK
ValueCountFrequency (%)
眞 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎖ 1
100.0%

음식물명
Text

MISSING 

Distinct12
Distinct (%)85.7%
Missing1779
Missing (%)99.2%
Memory size14.1 KiB
2024-05-04T00:05:11.570980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length5.5714286
Min length2

Characters and Unicode

Total characters78
Distinct characters36
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)71.4%

Sample

1st row피자
2nd row피자
3rd row쇠고기
4th row먹는샘물
5th row먹는샘물
ValueCountFrequency (%)
피자 2
13.3%
먹는샘물 2
13.3%
쇠고기 1
 
6.7%
칼3(일식용 1
 
6.7%
칼1(일식용 1
 
6.7%
도마3(밥등 1
 
6.7%
사용용도 1
 
6.7%
도마2(야채용 1
 
6.7%
도마1(일식,어패류용 1
 
6.7%
행주2 1
 
6.7%
Other values (3) 3
20.0%
2024-05-04T00:05:12.350170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 7
 
9.0%
) 6
 
7.7%
( 6
 
7.7%
식 4
 
5.1%
도 4
 
5.1%
일 4
 
5.1%
마 3
 
3.8%
2 3
 
3.8%
1 3
 
3.8%
칼 3
 
3.8%
Other values (26) 35
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56
71.8%
Decimal Number 8
 
10.3%
Close Punctuation 6
 
7.7%
Open Punctuation 6
 
7.7%
Other Punctuation 1
 
1.3%
Space Separator 1
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 7
 
12.5%
식 4
 
7.1%
도 4
 
7.1%
일 4
 
7.1%
마 3
 
5.4%
칼 3
 
5.4%
주 2
 
3.6%
행 2
 
3.6%
자 2
 
3.6%
피 2
 
3.6%
Other values (19) 23
41.1%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 3
37.5%
3 2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56
71.8%
Common 22
 
28.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 7
 
12.5%
식 4
 
7.1%
도 4
 
7.1%
일 4
 
7.1%
마 3
 
5.4%
칼 3
 
5.4%
주 2
 
3.6%
행 2
 
3.6%
자 2
 
3.6%
피 2
 
3.6%
Other values (19) 23
41.1%
Common
ValueCountFrequency (%)
) 6
27.3%
( 6
27.3%
2 3
13.6%
1 3
13.6%
3 2
 
9.1%
, 1
 
4.5%
1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56
71.8%
ASCII 22
 
28.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 7
 
12.5%
식 4
 
7.1%
도 4
 
7.1%
일 4
 
7.1%
마 3
 
5.4%
칼 3
 
5.4%
주 2
 
3.6%
행 2
 
3.6%
자 2
 
3.6%
피 2
 
3.6%
Other values (19) 23
41.1%
ASCII
ValueCountFrequency (%)
) 6
27.3%
( 6
27.3%
2 3
13.6%
1 3
13.6%
3 2
 
9.1%
, 1
 
4.5%
1
 
4.5%

원료명
Text

MISSING 

Distinct9
Distinct (%)75.0%
Missing1781
Missing (%)99.3%
Memory size14.1 KiB
2024-05-04T00:05:12.702771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4
Min length2

Characters and Unicode

Total characters48
Distinct characters29
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)58.3%

Sample

1st row한우갈비살
2nd row대두
3rd row비오틴 ,비타민C
4th row제빙기얼음
5th row제빙기얼음
ValueCountFrequency (%)
제빙기얼음 3
23.1%
한우 2
15.4%
한우갈비살 1
 
7.7%
대두 1
 
7.7%
비오틴 1
 
7.7%
비타민c 1
 
7.7%
돼지고기 1
 
7.7%
오이무침 1
 
7.7%
식수 1
 
7.7%
수돗물 1
 
7.7%
2024-05-04T00:05:13.521021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 4
 
8.3%
제 3
 
6.2%
얼 3
 
6.2%
음 3
 
6.2%
한 3
 
6.2%
우 3
 
6.2%
빙 3
 
6.2%
비 3
 
6.2%
오 2
 
4.2%
수 2
 
4.2%
Other values (19) 19
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45
93.8%
Space Separator 1
 
2.1%
Uppercase Letter 1
 
2.1%
Other Punctuation 1
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4
 
8.9%
제 3
 
6.7%
얼 3
 
6.7%
음 3
 
6.7%
한 3
 
6.7%
우 3
 
6.7%
빙 3
 
6.7%
비 3
 
6.7%
오 2
 
4.4%
수 2
 
4.4%
Other values (16) 16
35.6%
Space Separator
ValueCountFrequency (%)
1
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45
93.8%
Common 2
 
4.2%
Latin 1
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4
 
8.9%
제 3
 
6.7%
얼 3
 
6.7%
음 3
 
6.7%
한 3
 
6.7%
우 3
 
6.7%
빙 3
 
6.7%
비 3
 
6.7%
오 2
 
4.4%
수 2
 
4.4%
Other values (16) 16
35.6%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45
93.8%
ASCII 3
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 4
 
8.9%
제 3
 
6.7%
얼 3
 
6.7%
음 3
 
6.7%
한 3
 
6.7%
우 3
 
6.7%
빙 3
 
6.7%
비 3
 
6.7%
오 2
 
4.4%
수 2
 
4.4%
Other values (16) 16
35.6%
ASCII
ValueCountFrequency (%)
1
33.3%
C 1
33.3%
, 1
33.3%

생산업소
Text

MISSING 

Distinct47
Distinct (%)73.4%
Missing1729
Missing (%)96.4%
Memory size14.1 KiB
2024-05-04T00:05:14.292393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length8.875
Min length1

Characters and Unicode

Total characters568
Distinct characters158
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)59.4%

Sample

1st row종로구 자하문로 18
2nd row종로구 자하문로 18
3rd row종로구 자하문로 18
4th row경북 김천시 공단1길 34
5th row경기 양주시 청담로 34
ValueCountFrequency (%)
유한킴벌리(주 6
 
5.2%
34 5
 
4.3%
종로구 4
 
3.5%
애경산업(주 3
 
2.6%
자하문로 3
 
2.6%
18 3
 
2.6%
콩팥경복궁역점 3
 
2.6%
비원떡집 3
 
2.6%
서울 3
 
2.6%
조치원읍 2
 
1.7%
Other values (65) 80
69.6%
2024-05-04T00:05:15.511090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
9.0%
주 26
 
4.6%
( 25
 
4.4%
) 25
 
4.4%
1 21
 
3.7%
로 19
 
3.3%
경 11
 
1.9%
구 10
 
1.8%
종 9
 
1.6%
4 9
 
1.6%
Other values (148) 362
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
69.9%
Decimal Number 59
 
10.4%
Space Separator 51
 
9.0%
Open Punctuation 25
 
4.4%
Close Punctuation 25
 
4.4%
Other Punctuation 8
 
1.4%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
6.5%
로 19
 
4.8%
경 11
 
2.8%
구 10
 
2.5%
종 9
 
2.3%
리 9
 
2.3%
한 8
 
2.0%
산 8
 
2.0%
자 8
 
2.0%
길 8
 
2.0%
Other values (132) 281
70.8%
Decimal Number
ValueCountFrequency (%)
1 21
35.6%
4 9
15.3%
5 7
 
11.9%
8 6
 
10.2%
3 6
 
10.2%
6 5
 
8.5%
2 2
 
3.4%
9 1
 
1.7%
7 1
 
1.7%
0 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
/ 4
50.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
69.9%
Common 171
30.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
6.5%
로 19
 
4.8%
경 11
 
2.8%
구 10
 
2.5%
종 9
 
2.3%
리 9
 
2.3%
한 8
 
2.0%
산 8
 
2.0%
자 8
 
2.0%
길 8
 
2.0%
Other values (132) 281
70.8%
Common
ValueCountFrequency (%)
51
29.8%
( 25
14.6%
) 25
14.6%
1 21
12.3%
4 9
 
5.3%
5 7
 
4.1%
8 6
 
3.5%
3 6
 
3.5%
6 5
 
2.9%
, 4
 
2.3%
Other values (6) 12
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
69.9%
ASCII 171
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
29.8%
( 25
14.6%
) 25
14.6%
1 21
12.3%
4 9
 
5.3%
5 7
 
4.1%
8 6
 
3.5%
3 6
 
3.5%
6 5
 
2.9%
, 4
 
2.3%
Other values (6) 12
 
7.0%
Hangul
ValueCountFrequency (%)
주 26
 
6.5%
로 19
 
4.8%
경 11
 
2.8%
구 10
 
2.5%
종 9
 
2.3%
리 9
 
2.3%
한 8
 
2.0%
산 8
 
2.0%
자 8
 
2.0%
길 8
 
2.0%
Other values (132) 281
70.8%

수거일자
Real number (ℝ)

Distinct174
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20153714
Minimum20070705
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:05:16.014813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070705
5-th percentile20090428
Q120101129
median20161012
Q320201014
95-th percentile20230926
Maximum20240314
Range169609
Interquartile range (IQR)99885

Descriptive statistics

Standard deviation51446.277
Coefficient of variation (CV)0.0025526946
Kurtosis-1.4267022
Mean20153714
Median Absolute Deviation (MAD)59810
Skewness0.17570888
Sum3.6135609 × 1010
Variance2.6467194 × 109
MonotonicityDecreasing
2024-05-04T00:05:16.762974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101129 140
 
7.8%
20101202 102
 
5.7%
20170721 61
 
3.4%
20230612 58
 
3.2%
20090428 57
 
3.2%
20230904 55
 
3.1%
20090122 55
 
3.1%
20231115 51
 
2.8%
20101208 50
 
2.8%
20161125 49
 
2.7%
Other values (164) 1115
62.2%
ValueCountFrequency (%)
20070705 6
 
0.3%
20090108 3
 
0.2%
20090122 55
3.1%
20090217 2
 
0.1%
20090317 11
 
0.6%
20090402 2
 
0.1%
20090403 1
 
0.1%
20090428 57
3.2%
20090526 1
 
0.1%
20090617 1
 
0.1%
ValueCountFrequency (%)
20240314 1
 
0.1%
20240312 2
 
0.1%
20240306 10
 
0.6%
20240228 1
 
0.1%
20240227 3
 
0.2%
20240118 2
 
0.1%
20240116 2
 
0.1%
20231122 5
 
0.3%
20231115 51
2.8%
20231026 2
 
0.1%

수거량(정량)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)3.0%
Missing41
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean38.427112
Minimum1
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:05:17.281620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile350
Maximum3000
Range2999
Interquartile range (IQR)5

Descriptive statistics

Standard deviation157.31902
Coefficient of variation (CV)4.093959
Kurtosis96.634368
Mean38.427112
Median Absolute Deviation (MAD)2
Skewness7.7489979
Sum67324.3
Variance24749.274
MonotonicityNot monotonic
2024-05-04T00:05:17.820909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 566
31.6%
3.0 418
23.3%
2.0 200
 
11.2%
6.0 181
 
10.1%
5.0 61
 
3.4%
4.0 50
 
2.8%
7.0 47
 
2.6%
600.0 41
 
2.3%
350.0 36
 
2.0%
8.0 33
 
1.8%
Other values (43) 119
 
6.6%
(Missing) 41
 
2.3%
ValueCountFrequency (%)
1.0 566
31.6%
1.8 1
 
0.1%
2.0 200
 
11.2%
2.5 1
 
0.1%
3.0 418
23.3%
4.0 50
 
2.8%
5.0 61
 
3.4%
6.0 181
 
10.1%
7.0 47
 
2.6%
8.0 33
 
1.8%
ValueCountFrequency (%)
3000.0 1
 
0.1%
1890.0 1
 
0.1%
1530.0 1
 
0.1%
1200.0 2
0.1%
1050.0 3
0.2%
900.0 1
 
0.1%
790.0 1
 
0.1%
720.0 1
 
0.1%
690.0 1
 
0.1%
645.0 1
 
0.1%

제품규격(정량)
Text

MISSING 

Distinct185
Distinct (%)16.7%
Missing687
Missing (%)38.3%
Memory size14.1 KiB
2024-05-04T00:05:18.717765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.925859
Min length1

Characters and Unicode

Total characters3236
Distinct characters21
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)8.9%

Sample

1st row180
2nd row600
3rd row800
4th row900
5th row1.7
ValueCountFrequency (%)
600 225
20.3%
100 168
 
15.2%
500 77
 
7.0%
300 55
 
5.0%
1 31
 
2.8%
200 27
 
2.4%
400 24
 
2.2%
350 23
 
2.1%
10개 15
 
1.4%
360 12
 
1.1%
Other values (174) 449
40.6%
2024-05-04T00:05:20.118241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1580
48.8%
1 378
 
11.7%
6 291
 
9.0%
5 223
 
6.9%
2 199
 
6.1%
3 172
 
5.3%
4 108
 
3.3%
8 65
 
2.0%
7 56
 
1.7%
개 37
 
1.1%
Other values (11) 127
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3106
96.0%
Other Letter 46
 
1.4%
Lowercase Letter 40
 
1.2%
Other Punctuation 26
 
0.8%
Uppercase Letter 18
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1580
50.9%
1 378
 
12.2%
6 291
 
9.4%
5 223
 
7.2%
2 199
 
6.4%
3 172
 
5.5%
4 108
 
3.5%
8 65
 
2.1%
7 56
 
1.8%
9 34
 
1.1%
Other Letter
ValueCountFrequency (%)
개 37
80.4%
리 4
 
8.7%
터 4
 
8.7%
매 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
g 33
82.5%
m 6
 
15.0%
k 1
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
L 11
61.1%
K 5
27.8%
G 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3132
96.8%
Latin 58
 
1.8%
Hangul 46
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1580
50.4%
1 378
 
12.1%
6 291
 
9.3%
5 223
 
7.1%
2 199
 
6.4%
3 172
 
5.5%
4 108
 
3.4%
8 65
 
2.1%
7 56
 
1.8%
9 34
 
1.1%
Latin
ValueCountFrequency (%)
g 33
56.9%
L 11
 
19.0%
m 6
 
10.3%
K 5
 
8.6%
G 2
 
3.4%
k 1
 
1.7%
Hangul
ValueCountFrequency (%)
개 37
80.4%
리 4
 
8.7%
터 4
 
8.7%
매 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3190
98.6%
Hangul 46
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1580
49.5%
1 378
 
11.8%
6 291
 
9.1%
5 223
 
7.0%
2 199
 
6.2%
3 172
 
5.4%
4 108
 
3.4%
8 65
 
2.0%
7 56
 
1.8%
9 34
 
1.1%
Other values (7) 84
 
2.6%
Hangul
ValueCountFrequency (%)
개 37
80.4%
리 4
 
8.7%
터 4
 
8.7%
매 1
 
2.2%

단위(정량)
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
g
864 
<NA>
784 
ML
95 
KG
 
28
LT
 
11
Other values (2)
 
11

Length

Max length4
Median length2
Mean length2.3870608
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
g 864
48.2%
<NA> 784
43.7%
ML 95
 
5.3%
KG 28
 
1.6%
LT 11
 
0.6%
매 10
 
0.6%
mm 1
 
0.1%

Length

2024-05-04T00:05:20.766355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:21.409961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 864
48.2%
na 784
43.7%
ml 95
 
5.3%
kg 28
 
1.6%
lt 11
 
0.6%
매 10
 
0.6%
mm 1
 
0.1%

수거량(자유)
Text

MISSING 

Distinct21
Distinct (%)51.2%
Missing1752
Missing (%)97.7%
Memory size14.1 KiB
2024-05-04T00:05:21.923702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length4.6097561
Min length2

Characters and Unicode

Total characters189
Distinct characters29
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

Unique15 ?
Unique (%)36.6%

Sample

1st row2ea
2nd row3묶음
3rd row30롤
4th row2ea
5th row1ea
ValueCountFrequency (%)
1ea 12
26.1%
300g 6
13.0%
2ea 4
 
8.7%
1개 3
 
6.5%
10개입x5개 2
 
4.3%
30롤x1개 2
 
4.3%
200개입x3개 1
 
2.2%
swab 1
 
2.2%
670g 1
 
2.2%
620g 1
 
2.2%
Other values (13) 13
28.3%
2024-05-04T00:05:23.002379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 25
13.2%
0 25
13.2%
개 22
11.6%
a 15
 
7.9%
e 14
 
7.4%
3 12
 
6.3%
x 12
 
6.3%
2 11
 
5.8%
g 8
 
4.2%
5 6
 
3.2%
Other values (19) 39
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
46.0%
Lowercase Letter 55
29.1%
Other Letter 37
19.6%
Space Separator 5
 
2.6%
Uppercase Letter 4
 
2.1%
Other Punctuation 1
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 15
27.3%
e 14
25.5%
x 12
21.8%
g 8
14.5%
s 1
 
1.8%
i 1
 
1.8%
k 1
 
1.8%
b 1
 
1.8%
w 1
 
1.8%
t 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
1 25
28.7%
0 25
28.7%
3 12
13.8%
2 11
12.6%
5 6
 
6.9%
6 5
 
5.7%
4 2
 
2.3%
7 1
 
1.1%
Other Letter
ValueCountFrequency (%)
개 22
59.5%
롤 6
 
16.2%
입 5
 
13.5%
장 1
 
2.7%
음 1
 
2.7%
묶 1
 
2.7%
매 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
E 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93
49.2%
Latin 59
31.2%
Hangul 37
 
19.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 15
25.4%
e 14
23.7%
x 12
20.3%
g 8
13.6%
E 2
 
3.4%
A 2
 
3.4%
s 1
 
1.7%
i 1
 
1.7%
k 1
 
1.7%
b 1
 
1.7%
Other values (2) 2
 
3.4%
Common
ValueCountFrequency (%)
1 25
26.9%
0 25
26.9%
3 12
12.9%
2 11
11.8%
5 6
 
6.5%
6 5
 
5.4%
5
 
5.4%
4 2
 
2.2%
7 1
 
1.1%
, 1
 
1.1%
Hangul
ValueCountFrequency (%)
개 22
59.5%
롤 6
 
16.2%
입 5
 
13.5%
장 1
 
2.7%
음 1
 
2.7%
묶 1
 
2.7%
매 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
80.4%
Hangul 37
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 25
16.4%
0 25
16.4%
a 15
9.9%
e 14
9.2%
3 12
7.9%
x 12
7.9%
2 11
7.2%
g 8
 
5.3%
5 6
 
3.9%
6 5
 
3.3%
Other values (12) 19
12.5%
Hangul
ValueCountFrequency (%)
개 22
59.5%
롤 6
 
16.2%
입 5
 
13.5%
장 1
 
2.7%
음 1
 
2.7%
묶 1
 
2.7%
매 1
 
2.7%

제조일자(일자)
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)33.7%
Missing1224
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean19936589
Minimum10101
Maximum20250920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:05:23.564597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10101
5-th percentile20160314
Q120160924
median20161220
Q320210831
95-th percentile20231011
Maximum20250920
Range20240819
Interquartile range (IQR)49907

Descriptive statistics

Standard deviation2226029.6
Coefficient of variation (CV)0.11165549
Kurtosis76.956016
Mean19936589
Median Absolute Deviation (MAD)9402
Skewness-8.8696832
Sum1.1343919 × 1010
Variance4.9552077 × 1012
MonotonicityNot monotonic
2024-05-04T00:05:24.228204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161121 21
 
1.2%
20161122 20
 
1.1%
20230926 19
 
1.1%
20161123 18
 
1.0%
20180704 15
 
0.8%
20160913 14
 
0.8%
20161024 14
 
0.8%
20230925 14
 
0.8%
20161205 13
 
0.7%
20161220 11
 
0.6%
Other values (182) 410
 
22.9%
(Missing) 1224
68.3%
ValueCountFrequency (%)
10101 7
0.4%
20150303 2
 
0.1%
20150701 6
0.3%
20150708 5
0.3%
20160106 1
 
0.1%
20160225 5
0.3%
20160309 3
 
0.2%
20160322 4
0.2%
20160331 8
0.4%
20160414 1
 
0.1%
ValueCountFrequency (%)
20250920 1
 
0.1%
20250802 1
 
0.1%
20250724 1
 
0.1%
20250220 1
 
0.1%
20241116 1
 
0.1%
20240418 1
 
0.1%
20240314 1
 
0.1%
20240312 2
0.1%
20240228 1
 
0.1%
20240227 3
0.2%

제조일자(롯트)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
<NA>
1769 
1
 
21
구입한날로부터 한달이내
 
1
구입 후 1년이내
 
1
구입한날로부터 1년 이내
 
1

Length

Max length13
Median length4
Mean length3.9771333
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1769
98.7%
1 21
 
1.2%
구입한날로부터 한달이내 1
 
0.1%
구입 후 1년이내 1
 
0.1%
구입한날로부터 1년 이내 1
 
0.1%

Length

2024-05-04T00:05:24.680953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:25.014525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1769
98.4%
1 21
 
1.2%
구입한날로부터 2
 
0.1%
한달이내 1
 
0.1%
구입 1
 
0.1%
후 1
 
0.1%
1년이내 1
 
0.1%
1년 1
 
0.1%
이내 1
 
0.1%

유통기한(일자)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)10.3%
Missing1676
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean35.213675
Minimum0
Maximum2018
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:05:25.493827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.6
Q15
median5
Q35
95-th percentile20
Maximum2018
Range2018
Interquartile range (IQR)0

Descriptive statistics

Standard deviation202.01087
Coefficient of variation (CV)5.7367166
Kurtosis82.57876
Mean35.213675
Median Absolute Deviation (MAD)0
Skewness8.7232723
Sum4120
Variance40808.394
MonotonicityNot monotonic
2024-05-04T00:05:26.003633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 100
 
5.6%
1 5
 
0.3%
365 2
 
0.1%
15 2
 
0.1%
3 1
 
0.1%
40 1
 
0.1%
0 1
 
0.1%
50 1
 
0.1%
4 1
 
0.1%
730 1
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 1676
93.5%
ValueCountFrequency (%)
0 1
 
0.1%
1 5
 
0.3%
3 1
 
0.1%
4 1
 
0.1%
5 100
5.6%
10 1
 
0.1%
15 2
 
0.1%
40 1
 
0.1%
50 1
 
0.1%
365 2
 
0.1%
ValueCountFrequency (%)
2018 1
 
0.1%
730 1
 
0.1%
365 2
 
0.1%
50 1
 
0.1%
40 1
 
0.1%
15 2
 
0.1%
10 1
 
0.1%
5 100
5.6%
4 1
 
0.1%
3 1
 
0.1%

보관상태코드
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
실온
744 
<NA>
743 
냉장
289 
기타
 
9
냉동
 
8

Length

Max length4
Median length2
Mean length2.8287786
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 744
41.5%
<NA> 743
41.4%
냉장 289
 
16.1%
기타 9
 
0.5%
냉동 8
 
0.4%

Length

2024-05-04T00:05:26.473272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:26.958732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 744
41.5%
na 743
41.4%
냉장 289
 
16.1%
기타 9
 
0.5%
냉동 8
 
0.4%

바코드번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

어린이기호식품유형
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing1791
Missing (%)99.9%
Memory size14.1 KiB
2024-05-04T00:05:27.368297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters18
Distinct characters8
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row과자(한과류제외)
2nd row과자(한과류제외)
ValueCountFrequency (%)
과자(한과류제외 2
100.0%
2024-05-04T00:05:28.194456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4
22.2%
자 2
11.1%
( 2
11.1%
한 2
11.1%
류 2
11.1%
제 2
11.1%
외 2
11.1%
) 2
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
77.8%
Open Punctuation 2
 
11.1%
Close Punctuation 2
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4
28.6%
자 2
14.3%
한 2
14.3%
류 2
14.3%
제 2
14.3%
외 2
14.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
77.8%
Common 4
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4
28.6%
자 2
14.3%
한 2
14.3%
류 2
14.3%
제 2
14.3%
외 2
14.3%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
77.8%
ASCII 4
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4
28.6%
자 2
14.3%
한 2
14.3%
류 2
14.3%
제 2
14.3%
외 2
14.3%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

검사기관명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
1
1336 
<NA>
452 
0
 
5

Length

Max length4
Median length1
Mean length1.7562744
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1336
74.5%
<NA> 452
 
25.2%
0 5
 
0.3%

Length

2024-05-04T00:05:28.706030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:29.075754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1336
74.5%
na 452
 
25.2%
0 5
 
0.3%

(구)제조사명
Text

MISSING 

Distinct15
Distinct (%)53.6%
Missing1765
Missing (%)98.4%
Memory size14.1 KiB
2024-05-04T00:05:29.573498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.2142857
Min length3

Characters and Unicode

Total characters174
Distinct characters62
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

Unique8 ?
Unique (%)28.6%

Sample

1st row여의도떡방광화문점
2nd row여의도떡방광화문점
3rd row여의도떡방광화문점
4th row효자동빵집
5th row효자동빵집
ValueCountFrequency (%)
효자동빵집 5
15.2%
육회 5
15.2%
여의도떡방광화문점 3
9.1%
유케즈 3
9.1%
창신육회 3
9.1%
대상(주)천안공장 2
 
6.1%
나주댁 2
 
6.1%
허서방 2
 
6.1%
주)영진그린식품 1
 
3.0%
주)하선정종합식품 1
 
3.0%
Other values (6) 6
18.2%
2024-05-04T00:05:30.711271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 11
 
6.3%
육 8
 
4.6%
회 8
 
4.6%
( 8
 
4.6%
) 8
 
4.6%
방 5
 
2.9%
효 5
 
2.9%
자 5
 
2.9%
5
 
2.9%
집 5
 
2.9%
Other values (52) 106
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
87.9%
Open Punctuation 8
 
4.6%
Close Punctuation 8
 
4.6%
Space Separator 5
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
7.2%
육 8
 
5.2%
회 8
 
5.2%
방 5
 
3.3%
효 5
 
3.3%
자 5
 
3.3%
집 5
 
3.3%
빵 5
 
3.3%
동 5
 
3.3%
나 3
 
2.0%
Other values (49) 93
60.8%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
87.9%
Common 21
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
7.2%
육 8
 
5.2%
회 8
 
5.2%
방 5
 
3.3%
효 5
 
3.3%
자 5
 
3.3%
집 5
 
3.3%
빵 5
 
3.3%
동 5
 
3.3%
나 3
 
2.0%
Other values (49) 93
60.8%
Common
ValueCountFrequency (%)
( 8
38.1%
) 8
38.1%
5
23.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
87.9%
ASCII 21
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 11
 
7.2%
육 8
 
5.2%
회 8
 
5.2%
방 5
 
3.3%
효 5
 
3.3%
자 5
 
3.3%
집 5
 
3.3%
빵 5
 
3.3%
동 5
 
3.3%
나 3
 
2.0%
Other values (49) 93
60.8%
ASCII
ValueCountFrequency (%)
( 8
38.1%
) 8
38.1%
5
23.8%

내외국산
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
국내
1121 
국외
672 

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 1121
62.5%
국외 672
37.5%

Length

2024-05-04T00:05:31.205583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:31.598651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 1121
62.5%
국외 672
37.5%

국가명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
<NA>
1767 
미국
 
8
캐나다
 
7
일본
 
5
말레이지아
 
1
Other values (5)
 
5

Length

Max length5
Median length4
Mean length3.977691
Min length2

Unique

Unique6 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1767
98.5%
미국 8
 
0.4%
캐나다 7
 
0.4%
일본 5
 
0.3%
말레이지아 1
 
0.1%
중국 1
 
0.1%
베트남 1
 
0.1%
태국 1
 
0.1%
독일 1
 
0.1%
프랑스 1
 
0.1%

Length

2024-05-04T00:05:32.119988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:32.595920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1767
98.5%
미국 8
 
0.4%
캐나다 7
 
0.4%
일본 5
 
0.3%
말레이지아 1
 
0.1%
중국 1
 
0.1%
베트남 1
 
0.1%
태국 1
 
0.1%
독일 1
 
0.1%
프랑스 1
 
0.1%

검사구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
<NA>
797 
1
686 
2
310 

Length

Max length4
Median length1
Mean length2.3335192
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 797
44.5%
1 686
38.3%
2 310
 
17.3%

Length

2024-05-04T00:05:33.163108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:33.542166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 797
44.5%
1 686
38.3%
2 310
 
17.3%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)11.5%
Missing1098
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean20196785
Minimum20100318
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:05:33.918388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100318
5-th percentile20101224
Q120170725
median20211104
Q320230905
95-th percentile20231116
Maximum20240314
Range139996
Interquartile range (IQR)60180

Descriptive statistics

Standard deviation42633.59
Coefficient of variation (CV)0.0021109097
Kurtosis0.070761051
Mean20196785
Median Absolute Deviation (MAD)19822
Skewness-1.1542207
Sum1.4036765 × 1010
Variance1.817623 × 109
MonotonicityNot monotonic
2024-05-04T00:05:34.380450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230613 61
 
3.4%
20230905 58
 
3.2%
20231116 51
 
2.8%
20211104 48
 
2.7%
20210513 36
 
2.0%
20230926 33
 
1.8%
20111216 31
 
1.7%
20161018 21
 
1.2%
20190705 20
 
1.1%
20190326 18
 
1.0%
Other values (70) 318
 
17.7%
(Missing) 1098
61.2%
ValueCountFrequency (%)
20100318 11
0.6%
20100323 2
 
0.1%
20100629 1
 
0.1%
20101104 3
 
0.2%
20101109 6
 
0.3%
20101115 5
 
0.3%
20101116 3
 
0.2%
20101224 8
0.4%
20110331 15
0.8%
20110428 9
0.5%
ValueCountFrequency (%)
20240314 1
 
0.1%
20240312 2
 
0.1%
20240307 10
 
0.6%
20240228 1
 
0.1%
20240227 3
 
0.2%
20240118 4
 
0.2%
20231123 5
 
0.3%
20231116 51
2.8%
20231026 2
 
0.1%
20231012 3
 
0.2%

결과회보일자
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)19.4%
Missing1473
Missing (%)82.2%
Infinite0
Infinite (%)0.0%
Mean20174492
Minimum20100325
Maximum20220330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:05:34.923657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100325
5-th percentile20101119
Q120160920
median20185769
Q320210527
95-th percentile20211122
Maximum20220330
Range120005
Interquartile range (IQR)49606.5

Descriptive statistics

Standard deviation37756.696
Coefficient of variation (CV)0.0018715067
Kurtosis-0.43316126
Mean20174492
Median Absolute Deviation (MAD)24759
Skewness-0.87125326
Sum6.4558374 × 109
Variance1.4255681 × 109
MonotonicityNot monotonic
2024-05-04T00:05:35.456623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211122 20
 
1.1%
20210528 19
 
1.1%
20210527 18
 
1.0%
20190412 18
 
1.0%
20110422 15
 
0.8%
20190612 10
 
0.6%
20181126 10
 
0.6%
20181018 9
 
0.5%
20211118 9
 
0.5%
20161102 9
 
0.5%
Other values (52) 183
 
10.2%
(Missing) 1473
82.2%
ValueCountFrequency (%)
20100325 7
0.4%
20100331 2
 
0.1%
20100416 4
0.2%
20100706 1
 
0.1%
20101119 3
 
0.2%
20101130 3
 
0.2%
20101201 5
0.3%
20101203 3
 
0.2%
20101209 3
 
0.2%
20101229 8
0.4%
ValueCountFrequency (%)
20220330 1
 
0.1%
20220126 6
 
0.3%
20211231 3
 
0.2%
20211201 2
 
0.1%
20211122 20
1.1%
20211118 9
0.5%
20211102 1
 
0.1%
20211101 4
 
0.2%
20210915 3
 
0.2%
20210914 1
 
0.1%

판정구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
1
905 
<NA>
879 
2
 
9

Length

Max length4
Median length1
Mean length2.4707195
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 (%)
1 905
50.5%
<NA> 879
49.0%
2 9
 
0.5%

Length

2024-05-04T00:05:36.049981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:36.437442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 905
50.5%
na 879
49.0%
2 9
 
0.5%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

처리결과
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing1786
Missing (%)99.6%
Memory size14.1 KiB
2024-05-04T00:05:36.854840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length18
Mean length18
Min length3

Characters and Unicode

Total characters126
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)42.9%

Sample

1st row불검출
2nd row정성검사에서는 검출로 나왔지만 정량검사 맡긴 후 불검출 나옴
3rd row영업정지7일에 갈음하는 과징금부과
4th row영업정지 15일 갈음 과징금 부과
5th row영업정지 15일 갈음 과징금 부과
ValueCountFrequency (%)
영업정지 4
12.5%
갈음 4
12.5%
과징금 4
12.5%
15일 4
12.5%
부과 2
 
6.2%
처분 2
 
6.2%
불검출 2
 
6.2%
후 1
 
3.1%
갈음하는 1
 
3.1%
영업정지7일에 1
 
3.1%
Other values (7) 7
21.9%
2024-05-04T00:05:37.834850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
19.8%
과 8
 
6.3%
정 7
 
5.6%
지 6
 
4.8%
영 5
 
4.0%
음 5
 
4.0%
업 5
 
4.0%
금 5
 
4.0%
징 5
 
4.0%
검 5
 
4.0%
Other values (25) 50
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
73.0%
Space Separator 25
 
19.8%
Decimal Number 9
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8
 
8.7%
정 7
 
7.6%
지 6
 
6.5%
영 5
 
5.4%
음 5
 
5.4%
업 5
 
5.4%
금 5
 
5.4%
징 5
 
5.4%
검 5
 
5.4%
갈 5
 
5.4%
Other values (21) 36
39.1%
Decimal Number
ValueCountFrequency (%)
5 4
44.4%
1 4
44.4%
7 1
 
11.1%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
73.0%
Common 34
 
27.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8
 
8.7%
정 7
 
7.6%
지 6
 
6.5%
영 5
 
5.4%
음 5
 
5.4%
업 5
 
5.4%
금 5
 
5.4%
징 5
 
5.4%
검 5
 
5.4%
갈 5
 
5.4%
Other values (21) 36
39.1%
Common
ValueCountFrequency (%)
25
73.5%
5 4
 
11.8%
1 4
 
11.8%
7 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
73.0%
ASCII 34
 
27.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
73.5%
5 4
 
11.8%
1 4
 
11.8%
7 1
 
2.9%
Hangul
ValueCountFrequency (%)
과 8
 
8.7%
정 7
 
7.6%
지 6
 
6.5%
영 5
 
5.4%
음 5
 
5.4%
업 5
 
5.4%
금 5
 
5.4%
징 5
 
5.4%
검 5
 
5.4%
갈 5
 
5.4%
Other values (21) 36
39.1%

수거품처리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

교부번호
Real number (ℝ)

Distinct336
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0056345 × 1010
Minimum1.9670025 × 1010
Maximum2.0230035 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:05:38.420272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9670025 × 1010
5-th percentile1.9870025 × 1010
Q12.0050025 × 1010
median2.0070026 × 1010
Q32.0100025 × 1010
95-th percentile2.0160025 × 1010
Maximum2.0230035 × 1010
Range5.6001032 × 108
Interquartile range (IQR)49999840

Descriptive statistics

Standard deviation78493572
Coefficient of variation (CV)0.003913653
Kurtosis3.4808991
Mean2.0056345 × 1010
Median Absolute Deviation (MAD)20000348
Skewness-1.4042487
Sum3.5961026 × 1013
Variance6.1612409 × 1015
MonotonicityNot monotonic
2024-05-04T00:05:38.934537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070025614 524
29.2%
20050025266 203
 
11.3%
20100025728 102
 
5.7%
20150025640 62
 
3.5%
19960025472 55
 
3.1%
20160025128 44
 
2.5%
19990025122 33
 
1.8%
20040025749 28
 
1.6%
20060025345 18
 
1.0%
20120025286 17
 
0.9%
Other values (326) 707
39.4%
ValueCountFrequency (%)
19670025019 1
 
0.1%
19680025024 5
0.3%
19720025017 1
 
0.1%
19780025035 11
0.6%
19780025048 1
 
0.1%
19790025020 1
 
0.1%
19810025032 1
 
0.1%
19810025130 1
 
0.1%
19810025237 1
 
0.1%
19820025196 1
 
0.1%
ValueCountFrequency (%)
20230035344 2
0.1%
20220027769 2
0.1%
20220027651 1
0.1%
20220027326 1
0.1%
20220027178 2
0.1%
20220027132 1
0.1%
20220027010 2
0.1%
20210025682 2
0.1%
20210025276 1
0.1%
20210025231 1
0.1%

폐기일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

폐기량(Kg)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

폐기금액(원)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

폐기장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

폐기방법
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

소재지(도로명)
Text

MISSING 

Distinct204
Distinct (%)19.5%
Missing747
Missing (%)41.7%
Memory size14.1 KiB
2024-05-04T00:05:39.864717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length57
Mean length39.486616
Min length22

Characters and Unicode

Total characters41303
Distinct characters188
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)10.7%

Sample

1st row서울특별시 종로구 성균관로 5, (명륜2가)
2nd row서울특별시 종로구 통일로12길 23, 독립문초등학교 (무악동)
3rd row서울특별시 종로구 통일로12길 23, 독립문초등학교 (무악동)
4th row서울특별시 종로구 새문안로 91, (신문로1가)
5th row서울특별시 종로구 새문안로 91, (신문로1가)
ValueCountFrequency (%)
서울특별시 1046
13.4%
종로구 1046
13.4%
사직로8길 408
 
5.2%
4 408
 
5.2%
지하 403
 
5.2%
301동 401
 
5.2%
1필지 389
 
5.0%
b130호 387
 
5.0%
광화문풍림스페이스본 387
 
5.0%
사직동,외 387
 
5.0%
Other values (405) 2519
32.4%
2024-05-04T00:05:41.362370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6735
 
16.3%
로 2257
 
5.5%
1 2025
 
4.9%
, 1668
 
4.0%
종 1373
 
3.3%
동 1291
 
3.1%
3 1106
 
2.7%
) 1070
 
2.6%
( 1070
 
2.6%
서 1057
 
2.6%
Other values (178) 21651
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23987
58.1%
Space Separator 6735
 
16.3%
Decimal Number 6234
 
15.1%
Other Punctuation 1673
 
4.1%
Close Punctuation 1070
 
2.6%
Open Punctuation 1070
 
2.6%
Uppercase Letter 419
 
1.0%
Dash Punctuation 100
 
0.2%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2257
 
9.4%
종 1373
 
5.7%
동 1291
 
5.4%
서 1057
 
4.4%
시 1054
 
4.4%
울 1051
 
4.4%
구 1051
 
4.4%
별 1046
 
4.4%
특 1046
 
4.4%
지 1020
 
4.3%
Other values (156) 11741
48.9%
Decimal Number
ValueCountFrequency (%)
1 2025
32.5%
3 1106
17.7%
0 998
16.0%
4 595
 
9.5%
8 496
 
8.0%
2 346
 
5.6%
5 226
 
3.6%
9 216
 
3.5%
7 142
 
2.3%
6 84
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
B 399
95.2%
A 13
 
3.1%
D 3
 
0.7%
L 2
 
0.5%
G 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 1668
99.7%
. 5
 
0.3%
Space Separator
ValueCountFrequency (%)
6735
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1070
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1070
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23987
58.1%
Common 16897
40.9%
Latin 419
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2257
 
9.4%
종 1373
 
5.7%
동 1291
 
5.4%
서 1057
 
4.4%
시 1054
 
4.4%
울 1051
 
4.4%
구 1051
 
4.4%
별 1046
 
4.4%
특 1046
 
4.4%
지 1020
 
4.3%
Other values (156) 11741
48.9%
Common
ValueCountFrequency (%)
6735
39.9%
1 2025
 
12.0%
, 1668
 
9.9%
3 1106
 
6.5%
) 1070
 
6.3%
( 1070
 
6.3%
0 998
 
5.9%
4 595
 
3.5%
8 496
 
2.9%
2 346
 
2.0%
Other values (7) 788
 
4.7%
Latin
ValueCountFrequency (%)
B 399
95.2%
A 13
 
3.1%
D 3
 
0.7%
L 2
 
0.5%
G 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23987
58.1%
ASCII 17316
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6735
38.9%
1 2025
 
11.7%
, 1668
 
9.6%
3 1106
 
6.4%
) 1070
 
6.2%
( 1070
 
6.2%
0 998
 
5.8%
4 595
 
3.4%
8 496
 
2.9%
B 399
 
2.3%
Other values (12) 1154
 
6.7%
Hangul
ValueCountFrequency (%)
로 2257
 
9.4%
종 1373
 
5.7%
동 1291
 
5.4%
서 1057
 
4.4%
시 1054
 
4.4%
울 1051
 
4.4%
구 1051
 
4.4%
별 1046
 
4.4%
특 1046
 
4.4%
지 1020
 
4.3%
Other values (156) 11741
48.9%

소재지(지번)
Text

Distinct320
Distinct (%)18.0%
Missing12
Missing (%)0.7%
Memory size14.1 KiB
2024-05-04T00:05:42.176389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length58
Mean length34.510387
Min length20

Characters and Unicode

Total characters61463
Distinct characters200
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

Unique185 ?
Unique (%)10.4%

Sample

1st row서울특별시 종로구 명륜2가 227번지 3호
2nd row서울특별시 종로구 무악동 46번지 82호 독립문초등학교
3rd row서울특별시 종로구 무악동 46번지 82호 독립문초등학교
4th row서울특별시 종로구 신문로1가 24번지
5th row서울특별시 종로구 신문로1가 24번지
ValueCountFrequency (%)
서울특별시 1781
14.6%
종로구 1781
14.6%
지하 552
 
4.5%
사직동 543
 
4.5%
9번지 541
 
4.4%
301동 537
 
4.4%
1필지 529
 
4.3%
외 527
 
4.3%
광화문풍림스페이스본 525
 
4.3%
b130호 525
 
4.3%
Other values (404) 4337
35.6%
2024-05-04T00:05:43.774382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14360
23.4%
1 3445
 
5.6%
지 3312
 
5.4%
동 2090
 
3.4%
로 2053
 
3.3%
종 1970
 
3.2%
구 1898
 
3.1%
3 1890
 
3.1%
서 1792
 
2.9%
시 1789
 
2.9%
Other values (190) 26864
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36542
59.5%
Space Separator 14360
 
23.4%
Decimal Number 9632
 
15.7%
Uppercase Letter 566
 
0.9%
Other Punctuation 160
 
0.3%
Dash Punctuation 73
 
0.1%
Open Punctuation 63
 
0.1%
Close Punctuation 63
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3312
 
9.1%
동 2090
 
5.7%
로 2053
 
5.6%
종 1970
 
5.4%
구 1898
 
5.2%
서 1792
 
4.9%
시 1789
 
4.9%
번 1784
 
4.9%
울 1783
 
4.9%
별 1782
 
4.9%
Other values (168) 16289
44.6%
Decimal Number
ValueCountFrequency (%)
1 3445
35.8%
3 1890
19.6%
0 1344
 
14.0%
9 788
 
8.2%
2 694
 
7.2%
4 533
 
5.5%
7 252
 
2.6%
6 236
 
2.5%
8 226
 
2.3%
5 224
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 543
95.9%
A 16
 
2.8%
D 3
 
0.5%
L 2
 
0.4%
G 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 156
97.5%
. 4
 
2.5%
Space Separator
ValueCountFrequency (%)
14360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36542
59.5%
Common 24355
39.6%
Latin 566
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3312
 
9.1%
동 2090
 
5.7%
로 2053
 
5.6%
종 1970
 
5.4%
구 1898
 
5.2%
서 1792
 
4.9%
시 1789
 
4.9%
번 1784
 
4.9%
울 1783
 
4.9%
별 1782
 
4.9%
Other values (168) 16289
44.6%
Common
ValueCountFrequency (%)
14360
59.0%
1 3445
 
14.1%
3 1890
 
7.8%
0 1344
 
5.5%
9 788
 
3.2%
2 694
 
2.8%
4 533
 
2.2%
7 252
 
1.0%
6 236
 
1.0%
8 226
 
0.9%
Other values (7) 587
 
2.4%
Latin
ValueCountFrequency (%)
B 543
95.9%
A 16
 
2.8%
D 3
 
0.5%
L 2
 
0.4%
G 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36542
59.5%
ASCII 24921
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14360
57.6%
1 3445
 
13.8%
3 1890
 
7.6%
0 1344
 
5.4%
9 788
 
3.2%
2 694
 
2.8%
B 543
 
2.2%
4 533
 
2.1%
7 252
 
1.0%
6 236
 
0.9%
Other values (12) 836
 
3.4%
Hangul
ValueCountFrequency (%)
지 3312
 
9.1%
동 2090
 
5.7%
로 2053
 
5.6%
종 1970
 
5.4%
구 1898
 
5.2%
서 1792
 
4.9%
시 1789
 
4.9%
번 1784
 
4.9%
울 1783
 
4.9%
별 1782
 
4.9%
Other values (168) 16289
44.6%

업소전화번호
Text

MISSING 

Distinct212
Distinct (%)13.9%
Missing270
Missing (%)15.1%
Memory size14.1 KiB
2024-05-04T00:05:44.485056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.896914
Min length2

Characters and Unicode

Total characters16596
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

Unique110 ?
Unique (%)7.2%

Sample

1st row02 765 2073
2nd row02 7304092
3rd row02 7304092
4th row02 737 9994
5th row02 737 9994
ValueCountFrequency (%)
02 1202
34.4%
725 526
15.1%
4008 525
15.0%
34170051 203
 
5.8%
379 104
 
3.0%
8486 102
 
2.9%
737 57
 
1.6%
9994 55
 
1.6%
32179151 44
 
1.3%
7620393 33
 
0.9%
Other values (231) 640
18.3%
2024-05-04T00:05:45.788591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3247
19.6%
2891
17.4%
2 2455
14.8%
7 1652
10.0%
4 1205
 
7.3%
5 1067
 
6.4%
3 1020
 
6.1%
8 997
 
6.0%
1 792
 
4.8%
9 677
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13705
82.6%
Space Separator 2891
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3247
23.7%
2 2455
17.9%
7 1652
12.1%
4 1205
 
8.8%
5 1067
 
7.8%
3 1020
 
7.4%
8 997
 
7.3%
1 792
 
5.8%
9 677
 
4.9%
6 593
 
4.3%
Space Separator
ValueCountFrequency (%)
2891
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16596
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3247
19.6%
2891
17.4%
2 2455
14.8%
7 1652
10.0%
4 1205
 
7.3%
5 1067
 
6.4%
3 1020
 
6.1%
8 997
 
6.0%
1 792
 
4.8%
9 677
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3247
19.6%
2891
17.4%
2 2455
14.8%
7 1652
10.0%
4 1205
 
7.3%
5 1067
 
6.4%
3 1020
 
6.1%
8 997
 
6.0%
1 792
 
4.8%
9 677
 
4.1%

점검목적
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
수거
968 
<NA>
626 
위생점검(전체)
186 
위생점검(부분)
 
13

Length

Max length8
Median length2
Mean length3.3641941
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수거 968
54.0%
<NA> 626
34.9%
위생점검(전체) 186
 
10.4%
위생점검(부분) 13
 
0.7%

Length

2024-05-04T00:05:46.427314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:46.887511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수거 968
54.0%
na 626
34.9%
위생점검(전체 186
 
10.4%
위생점검(부분 13
 
0.7%

점검일자
Real number (ℝ)

Distinct168
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20153966
Minimum20070705
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.9 KiB
2024-05-04T00:05:47.356133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070705
5-th percentile20090428
Q120101129
median20161019
Q320201014
95-th percentile20230926
Maximum20240314
Range169609
Interquartile range (IQR)99885

Descriptive statistics

Standard deviation51195.56
Coefficient of variation (CV)0.0025402226
Kurtosis-1.4253003
Mean20153966
Median Absolute Deviation (MAD)59817
Skewness0.1811336
Sum3.613606 × 1010
Variance2.6209853 × 109
MonotonicityNot monotonic
2024-05-04T00:05:47.822357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20101129 140
 
7.8%
20101202 102
 
5.7%
20161124 62
 
3.5%
20230612 58
 
3.2%
20090122 58
 
3.2%
20090428 57
 
3.2%
20230904 55
 
3.1%
20231115 51
 
2.8%
20101208 48
 
2.7%
20211103 48
 
2.7%
Other values (158) 1114
62.1%
ValueCountFrequency (%)
20070705 6
 
0.3%
20090108 3
 
0.2%
20090122 58
3.2%
20090317 11
 
0.6%
20090402 2
 
0.1%
20090403 1
 
0.1%
20090428 57
3.2%
20090619 10
 
0.6%
20090630 5
 
0.3%
20090907 3
 
0.2%
ValueCountFrequency (%)
20240314 1
 
0.1%
20240312 2
 
0.1%
20240306 10
 
0.6%
20240228 1
 
0.1%
20240227 3
 
0.2%
20240118 2
 
0.1%
20240116 2
 
0.1%
20231122 5
 
0.3%
20231115 51
2.8%
20231026 2
 
0.1%

점검구분
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
수시
712 
<NA>
626 
기타
192 
일제
161 
합동
102 

Length

Max length4
Median length2
Mean length2.6982711
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수시 712
39.7%
<NA> 626
34.9%
기타 192
 
10.7%
일제 161
 
9.0%
합동 102
 
5.7%

Length

2024-05-04T00:05:48.482239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:49.067786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 712
39.7%
na 626
34.9%
기타 192
 
10.7%
일제 161
 
9.0%
합동 102
 
5.7%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

점검결과코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
1
1157 
<NA>
626 
2
 
10

Length

Max length4
Median length1
Mean length2.0474066
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1157
64.5%
<NA> 626
34.9%
2 10
 
0.6%

Length

2024-05-04T00:05:49.594061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:50.019622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1157
64.5%
na 626
34.9%
2 10
 
0.6%

(구)제조유통기한
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

(구)제조회사주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1793
Missing (%)100.0%
Memory size15.9 KiB

부적합항목
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
<NA>
1788 
대장균
 
5

Length

Max length4
Median length4
Mean length3.9972114
Min length3

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> 1788
99.7%
대장균 5
 
0.3%

Length

2024-05-04T00:05:50.543293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:51.085165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1788
99.7%
대장균 5
 
0.3%

기준치부적합내용
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
<NA>
1788 
검출
 
4
양성
 
1

Length

Max length4
Median length4
Mean length3.9944228
Min length2

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> 1788
99.7%
검출 4
 
0.2%
양성 1
 
0.1%

Length

2024-05-04T00:05:51.505394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T00:05:51.851518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1788
99.7%
검출 4
 
0.2%
양성 1
 
0.1%

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
03000000106식품제조가공업<NA><NA><NA><NA>24종로어린이기호-1검사용대학로떡,호두과자C0301050000000떡류떡류백설기<NA><NA><NA>202403146.0180g<NA>20240314<NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240314<NA><NA><NA><NA><NA><NA><NA><NA>20110025355<NA><NA><NA><NA><NA>서울특별시 종로구 성균관로 5, (명륜2가)서울특별시 종로구 명륜2가 227번지 3호02 765 2073수거20240314수시<NA>1<NA><NA><NA><NA>
13000000105집단급식소<NA><NA><NA><NA>2024-위생-7검사용서울독립문초등학교G0100000100000조리식품 등조리식품 등와인소스편육<NA><NA><NA>202403121.0600g<NA>20240312<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240312<NA><NA><NA><NA><NA><NA><NA><NA>20000025381<NA><NA><NA><NA><NA>서울특별시 종로구 통일로12길 23, 독립문초등학교 (무악동)서울특별시 종로구 무악동 46번지 82호 독립문초등학교02 7304092위생점검(전체)20240312합동<NA>1<NA><NA><NA><NA>
23000000105집단급식소<NA><NA><NA><NA>2024-위생-8검사용서울독립문초등학교G0300000300000칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)칼<NA><NA><NA>20240312<NA><NA><NA>2ea20240312<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220240312<NA><NA><NA><NA><NA><NA><NA><NA>20000025381<NA><NA><NA><NA><NA>서울특별시 종로구 통일로12길 23, 독립문초등학교 (무악동)서울특별시 종로구 무악동 46번지 82호 독립문초등학교02 7304092위생점검(전체)20240312합동<NA>1<NA><NA><NA><NA>
33000000114기타식품판매업999<NA>2024년 안전팀 식품안전관리 지도점검<NA>종로다소비24-7검사용홈플러스 익스프레스 광화문점C0312020200000마요네즈마요네즈오뚜기 마요네스<NA><NA><NA>202403061.0800g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240307<NA><NA><NA><NA><NA><NA><NA><NA>19960025472<NA><NA><NA><NA><NA>서울특별시 종로구 새문안로 91, (신문로1가)서울특별시 종로구 신문로1가 24번지02 737 9994수거20240306기타<NA>1<NA><NA><NA><NA>
43000000114기타식품판매업999<NA>2024년 안전팀 식품안전관리 지도점검<NA>종로다소비24-1검사용홈플러스 익스프레스 광화문점C0312010100000발효식초발효식초사과식초<NA><NA><NA>202403061.0900ML<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240307<NA><NA><NA><NA><NA><NA><NA><NA>19960025472<NA><NA><NA><NA><NA>서울특별시 종로구 새문안로 91, (신문로1가)서울특별시 종로구 신문로1가 24번지02 737 9994수거20240306기타<NA>1<NA><NA><NA><NA>
53000000114기타식품판매업999<NA>2024년 안전팀 식품안전관리 지도점검<NA>종로다소비24-2검사용홈플러스 익스프레스 광화문점C0312020100000소스소스청정원 장아찌간장소스<NA><NA><NA>202403061.01.7LT<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240307<NA><NA><NA><NA><NA><NA><NA><NA>19960025472<NA><NA><NA><NA><NA>서울특별시 종로구 새문안로 91, (신문로1가)서울특별시 종로구 신문로1가 24번지02 737 9994수거20240306기타<NA>1<NA><NA><NA><NA>
63000000114기타식품판매업999<NA>2024년 안전팀 식품안전관리 지도점검<NA>종로다소비24-4검사용홈플러스 익스프레스 광화문점C0312020100000소스소스청정원 토마토 스파게티소스<NA><NA><NA>202403061.0600g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240307<NA><NA><NA><NA><NA><NA><NA><NA>19960025472<NA><NA><NA><NA><NA>서울특별시 종로구 새문안로 91, (신문로1가)서울특별시 종로구 신문로1가 24번지02 737 9994수거20240306기타<NA>1<NA><NA><NA><NA>
73000000114기타식품판매업999<NA>2024년 안전팀 식품안전관리 지도점검<NA>종로다소비24-5검사용홈플러스 익스프레스 광화문점C0312020100000소스소스청정원 로제 스파게티소스<NA><NA><NA>202403061.0600g<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240307<NA><NA><NA><NA><NA><NA><NA><NA>19960025472<NA><NA><NA><NA><NA>서울특별시 종로구 새문안로 91, (신문로1가)서울특별시 종로구 신문로1가 24번지02 737 9994수거20240306기타<NA>1<NA><NA><NA><NA>
83000000114기타식품판매업999<NA>2024년 안전팀 식품안전관리 지도점검<NA>종로다소비24-10검사용홈플러스 익스프레스 광화문점C0307010300000채종유(유채유 또는 카놀라유)채종유(유채유 또는 카놀라유)해표 카놀라유<NA><NA><NA>202403061.0900ML<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240307<NA><NA><NA><NA><NA><NA><NA><NA>19960025472<NA><NA><NA><NA><NA>서울특별시 종로구 새문안로 91, (신문로1가)서울특별시 종로구 신문로1가 24번지02 737 9994수거20240306기타<NA>1<NA><NA><NA><NA>
93000000114기타식품판매업999<NA>2024년 안전팀 식품안전관리 지도점검<NA>종로다소비24-9검사용홈플러스 익스프레스 광화문점C0307012000000기타식물성유지기타식물성유지해표 포도씨유<NA><NA><NA>202403061.0900ML<NA><NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120240307<NA><NA><NA><NA><NA><NA><NA><NA>19960025472<NA><NA><NA><NA><NA>서울특별시 종로구 새문안로 91, (신문로1가)서울특별시 종로구 신문로1가 24번지02 737 9994수거20240306기타<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
17833000000114기타식품판매업<NA><NA><NA><NA><NA><NA>코스꼬레마트201000000과자류기타건과류미과<NA><NA><NA>200901226.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20050025266<NA><NA><NA><NA><NA><NA>서울특별시 종로구 평창동 331번지 뉴본상가 지하134170051수거20090122수시<NA>1<NA><NA><NA><NA>
17843000000104휴게음식점<NA><NA><NA><NA><NA><NA>미스터도넛 광화문점201000000과자류기타빵또는떡류폰데 스트로베리밀크<NA><NA><NA>2009010810.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20070025567<NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로1가 135번지 2호 지상1,2층02 20397026수거20090108수시<NA>1<NA><NA><NA><NA>
17853000000104휴게음식점<NA><NA><NA><NA><NA><NA>미스터도넛 광화문점201000000과자류기타빵또는떡류엔젤밀크<NA><NA><NA>2009010810.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20070025567<NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로1가 135번지 2호 지상1,2층02 20397026수거20090108수시<NA>1<NA><NA><NA><NA>
17863000000104휴게음식점<NA><NA><NA><NA><NA><NA>미스터도넛 광화문점201000000과자류기타빵또는떡류폰데 단팥<NA><NA><NA>2009010810.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20070025567<NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로1가 135번지 2호 지상1,2층02 20397026수거20090108수시<NA>1<NA><NA><NA><NA>
17873000000105집단급식소<NA><NA><NA><NA><NA><NA>대통령비서실<NA><NA>낙지볶음<NA><NA><NA>200707051.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20060025382<NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 1번지02 7702134<NA>20070705<NA><NA><NA><NA><NA><NA><NA>
17883000000105집단급식소<NA><NA><NA><NA><NA><NA>대통령비서실<NA><NA>진미채<NA><NA><NA>200707051.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20060025382<NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 1번지02 7702134<NA>20070705<NA><NA><NA><NA><NA><NA><NA>
17893000000105집단급식소<NA><NA><NA><NA><NA><NA>대통령비서실<NA><NA>새송이볶음<NA><NA><NA>200707051.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20060025382<NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 1번지02 7702134<NA>20070705<NA><NA><NA><NA><NA><NA><NA>
17903000000105집단급식소<NA><NA><NA><NA><NA><NA>대통령비서실<NA><NA>야채겉절이<NA><NA><NA>200707051.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20060025382<NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 1번지02 7702134<NA>20070705<NA><NA><NA><NA><NA><NA><NA>
17913000000105집단급식소<NA><NA><NA><NA><NA><NA>대통령비서실<NA><NA>콩나물무침<NA><NA><NA>200707051.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20060025382<NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 1번지02 7702134<NA>20070705<NA><NA><NA><NA><NA><NA><NA>
17923000000105집단급식소<NA><NA><NA><NA><NA><NA>대통령비서실<NA><NA>가자미조림<NA><NA><NA>200707051.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>20060025382<NA><NA><NA><NA><NA><NA>서울특별시 종로구 세종로 1번지02 7702134<NA>20070705<NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드업종코드업종명계획구분코드지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(제조일기준)보관상태코드어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과교부번호소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드부적합항목기준치부적합내용# duplicates
13000000101일반음식점<NA><NA><NA><NA><NA>섭지코지<NA><NA>식재료<NA><NA><NA>20091209600.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA><NA><NA>20080025589<NA>서울특별시 종로구 동숭동 1번지 73호 리트모빌딩 지상4층<NA><NA>20100201<NA><NA><NA><NA>7
23000000101일반음식점<NA><NA><NA><NA><NA>수미산<NA><NA>반찬<NA><NA><NA>20091126600.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA>19830025059<NA>서울특별시 종로구 재동 84번지 7호02 7644609<NA>20100201<NA><NA><NA><NA>3
03000000101일반음식점<NA><NA><NA><NA><NA>AW컨벤션센터<NA><NA>식재료<NA><NA><NA>20091130600.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA><NA><NA>19870025087<NA>서울특별시 종로구 부암동 188번지 0호02 3962442<NA>20100201<NA><NA><NA><NA>2
33000000114기타식품판매업<NA><NA><NA><NA><NA>(주)지에스리테일GS수퍼종로구기점821000000조미식품복합조미식품맛선생한우<NA><NA><NA>201012023.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA>20100025728<NA>서울특별시 종로구 구기동 94번지 1층02 379 8486수거20101202일제1<NA><NA>2
43000000114기타식품판매업<NA><NA><NA><NA><NA>서서울농협유통분사 하나로마트 사직점<NA><NA>백설북어국<NA><NA><NA>200904286.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA>20070025614<NA>서울특별시 종로구 사직동 9번지 외 1필지 광화문풍림스페이스본 301동 지하 B130호02 725 4008수거20090428수시1<NA><NA>2
53000000114기타식품판매업<NA><NA><NA><NA><NA>서서울농협유통분사 하나로마트 사직점830000000규격외일반가공식품곡류가공품메밀부침가루<NA><NA><NA>201012083.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA>20070025614<NA>서울특별시 종로구 사직동 9번지 외 1필지 광화문풍림스페이스본 301동 지하 B130호02 725 4008수거20101208수시1<NA><NA>2
63000000114기타식품판매업<NA><NA><NA><NA><NA>서서울농협유통분사 하나로마트 사직점830000000규격외일반가공식품기타가공품찹쌀호떡믹스<NA><NA><NA>201012083.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA>20070025614<NA>서울특별시 종로구 사직동 9번지 외 1필지 광화문풍림스페이스본 301동 지하 B130호02 725 4008수거20101208수시1<NA><NA>2
73000000114기타식품판매업<NA><NA><NA><NA><NA>코스코마트430000000포장류포장류중종이제종이컵<NA><NA><NA>20101129150.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA>20050025266<NA>서울특별시 종로구 평창동 331번지 뉴본상가 지하134170051수거20101129수시1<NA><NA>2
83000000114기타식품판매업<NA><NA><NA><NA><NA>코스코마트811000000식육또는알가공품식육가공품스팸마일드<NA><NA><NA>201011293.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA>20050025266<NA>서울특별시 종로구 평창동 331번지 뉴본상가 지하134170051수거20101129수시1<NA><NA>2
93000000114기타식품판매업<NA><NA><NA><NA><NA>코스코마트818000000음료류두유삼육검은콩 참깨두유<NA><NA><NA>201011293.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA>20050025266<NA>서울특별시 종로구 평창동 331번지 뉴본상가 지하134170051수거20101129수시1<NA><NA>2