Overview

Dataset statistics

Number of variables61
Number of observations4338
Missing cells115574
Missing cells (%)43.7%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory2.2 MiB
Average record size in memory522.0 B

Variable types

Categorical19
Numeric10
Unsupported17
Text15

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-11302/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
처리결과 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
업종명 is highly imbalanced (65.7%)Imbalance
지도점검계획 is highly imbalanced (74.4%)Imbalance
음식물명 is highly imbalanced (95.9%)Imbalance
수거량(자유) is highly imbalanced (83.3%)Imbalance
국가명 is highly imbalanced (84.5%)Imbalance
결과회보일자 is highly imbalanced (99.1%)Imbalance
판정구분 is highly imbalanced (99.1%)Imbalance
계획구분명 has 4338 (100.0%) missing valuesMissing
수거증번호 has 417 (9.6%) missing valuesMissing
식품군코드 has 104 (2.4%) missing valuesMissing
식품군 has 435 (10.0%) missing valuesMissing
품목명 has 138 (3.2%) missing valuesMissing
원료명 has 4328 (99.8%) missing valuesMissing
생산업소 has 2019 (46.5%) missing valuesMissing
수거량(정량) has 451 (10.4%) missing valuesMissing
제품규격(정량) has 868 (20.0%) missing valuesMissing
제조일자(일자) has 3742 (86.3%) missing valuesMissing
제조일자(롯트) has 4338 (100.0%) missing valuesMissing
유통기한(일자) has 4323 (99.7%) missing valuesMissing
유통기한(제조일기준) has 4326 (99.7%) missing valuesMissing
바코드번호 has 4338 (100.0%) missing valuesMissing
어린이기호식품유형 has 4338 (100.0%) missing valuesMissing
(구)제조사명 has 2993 (69.0%) missing valuesMissing
검사의뢰일자 has 3066 (70.7%) missing valuesMissing
처리구분 has 4338 (100.0%) missing valuesMissing
수거검사구분코드 has 4338 (100.0%) missing valuesMissing
단속지역구분코드 has 4338 (100.0%) missing valuesMissing
수거장소구분코드 has 4338 (100.0%) missing valuesMissing
처리결과 has 4337 (> 99.9%) missing valuesMissing
수거품처리 has 4338 (100.0%) missing valuesMissing
폐기일자 has 4338 (100.0%) missing valuesMissing
폐기량(Kg) has 4338 (100.0%) missing valuesMissing
폐기금액(원) has 4338 (100.0%) missing valuesMissing
폐기장소 has 4338 (100.0%) missing valuesMissing
폐기방법 has 4338 (100.0%) missing valuesMissing
소재지(도로명) has 1400 (32.3%) missing valuesMissing
소재지(지번) has 712 (16.4%) missing valuesMissing
업소전화번호 has 148 (3.4%) missing valuesMissing
점검내용 has 4338 (100.0%) missing valuesMissing
(구)제조유통기한 has 4323 (99.7%) missing valuesMissing
(구)제조회사주소 has 3698 (85.2%) missing valuesMissing
부적합항목 has 4338 (100.0%) missing valuesMissing
기준치부적합내용 has 4338 (100.0%) missing valuesMissing
수거량(정량) is highly skewed (γ1 = 52.90539554)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
바코드번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
어린이기호식품유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
처리구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거검사구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단속지역구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거장소구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
부적합항목 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준치부적합내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:03:57.882461
Analysis finished2024-05-11 08:04:00.550161
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
3220000
4338 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 4338
100.0%

Length

2024-05-11T17:04:00.615662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:00.712954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 4338
100.0%

업종코드
Real number (ℝ)

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.00438
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:00.820720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile104
Q1114
median114
Q3114
95-th percentile114
Maximum134
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.369094
Coefficient of variation (CV)0.03866305
Kurtosis8.7159846
Mean113.00438
Median Absolute Deviation (MAD)0
Skewness0.44701164
Sum490213
Variance19.088982
MonotonicityIncreasing
2024-05-11T17:04:00.955805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
114 3438
79.3%
101 193
 
4.4%
105 183
 
4.2%
113 178
 
4.1%
107 122
 
2.8%
134 68
 
1.6%
112 67
 
1.5%
106 34
 
0.8%
104 24
 
0.6%
121 15
 
0.3%
Other values (5) 16
 
0.4%
ValueCountFrequency (%)
101 193
4.4%
103 1
 
< 0.1%
104 24
 
0.6%
105 183
4.2%
106 34
 
0.8%
107 122
2.8%
110 3
 
0.1%
111 1
 
< 0.1%
112 67
 
1.5%
113 178
4.1%
ValueCountFrequency (%)
134 68
 
1.6%
122 5
 
0.1%
121 15
 
0.3%
120 6
 
0.1%
114 3438
79.3%
113 178
 
4.1%
112 67
 
1.5%
111 1
 
< 0.1%
110 3
 
0.1%
107 122
 
2.8%

업종명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
기타식품판매업
3438 
일반음식점
 
193
집단급식소
 
183
유통전문판매업
 
178
즉석판매제조가공업
 
122
Other values (10)
 
224

Length

Max length11
Median length7
Mean length6.9612725
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 3438
79.3%
일반음식점 193
 
4.4%
집단급식소 183
 
4.2%
유통전문판매업 178
 
4.1%
즉석판매제조가공업 122
 
2.8%
건강기능식품일반판매업 68
 
1.6%
식품자동판매기영업 67
 
1.5%
식품제조가공업 34
 
0.8%
휴게음식점 24
 
0.6%
제과점영업 15
 
0.3%
Other values (5) 16
 
0.4%

Length

2024-05-11T17:04:01.126130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 3438
79.2%
일반음식점 193
 
4.4%
집단급식소 183
 
4.2%
유통전문판매업 178
 
4.1%
즉석판매제조가공업 122
 
2.8%
건강기능식품일반판매업 68
 
1.6%
식품자동판매기영업 67
 
1.5%
식품제조가공업 34
 
0.8%
휴게음식점 24
 
0.6%
제과점영업 15
 
0.3%
Other values (6) 19
 
0.4%

계획구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3789 
999
549 

Length

Max length4
Median length4
Mean length3.873444
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3789
87.3%
999 549
 
12.7%

Length

2024-05-11T17:04:01.544862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:01.665946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3789
87.3%
999 549
 
12.7%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

지도점검계획
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3789 
식품안전관리계획
 
372
식품접객업소 지도점검
 
103
집단급식소 지도 점검
 
61
식품자동판매기 지도점검 계획
 
6
Other values (2)
 
7

Length

Max length15
Median length4
Mean length4.6403873
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3789
87.3%
식품안전관리계획 372
 
8.6%
식품접객업소 지도점검 103
 
2.4%
집단급식소 지도 점검 61
 
1.4%
식품자동판매기 지도점검 계획 6
 
0.1%
건강기능식품관련 지도점검계획 6
 
0.1%
식품제조가공업 위생점검 등 1
 
< 0.1%

Length

2024-05-11T17:04:01.797942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:01.938610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3789
82.7%
식품안전관리계획 372
 
8.1%
지도점검 109
 
2.4%
식품접객업소 103
 
2.2%
집단급식소 61
 
1.3%
지도 61
 
1.3%
점검 61
 
1.3%
식품자동판매기 6
 
0.1%
계획 6
 
0.1%
건강기능식품관련 6
 
0.1%
Other values (4) 9
 
0.2%

수거계획
Categorical

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
1924 
2016년 식품 등 수거검사계획
429 
2017년 식품 등 수거검사계획
422 
2018년 식품 등 수거?검사 계획
346 
2013년 식품 등 수거검사계획
313 
Other values (9)
904 

Length

Max length29
Median length20
Mean length10.702858
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> 1924
44.4%
2016년 식품 등 수거검사계획 429
 
9.9%
2017년 식품 등 수거검사계획 422
 
9.7%
2018년 식품 등 수거?검사 계획 346
 
8.0%
2013년 식품 등 수거검사계획 313
 
7.2%
가공식품 수거검사 295
 
6.8%
2015년 식품 등 수거검사계획 258
 
5.9%
2012년 식품수거검사계획 250
 
5.8%
2014년 가공식품 유상수거 검사계획 52
 
1.2%
설 성수식품 수거검사 24
 
0.6%
Other values (4) 25
 
0.6%

Length

2024-05-11T17:04:02.081887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1924
17.8%
식품 1768
16.3%
등 1768
16.3%
수거검사계획 1440
13.3%
2017년 433
 
4.0%
2016년 429
 
4.0%
계획 351
 
3.2%
가공식품 347
 
3.2%
2018년 346
 
3.2%
수거?검사 346
 
3.2%
Other values (18) 1662
15.4%

수거증번호
Text

MISSING 

Distinct3233
Distinct (%)82.5%
Missing417
Missing (%)9.6%
Memory size34.0 KiB
2024-05-11T17:04:02.459196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.4585565
Min length2

Characters and Unicode

Total characters29245
Distinct characters85
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

Unique2642 ?
Unique (%)67.4%

Sample

1st row123-05-12
2nd row123-05-11
3rd row123-06-13
4th row123-09-01
5th row2023-강남-175
ValueCountFrequency (%)
서울-강남 13
 
0.3%
123-1-7 4
 
0.1%
123-4-15 4
 
0.1%
123-1-10 3
 
0.1%
123-1-14 3
 
0.1%
4-120 3
 
0.1%
4-124 3
 
0.1%
123-1-9 3
 
0.1%
4-128 3
 
0.1%
3-85 3
 
0.1%
Other values (3225) 3894
98.9%
2024-05-11T17:04:03.094159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6074
20.8%
1 5300
18.1%
2 4660
15.9%
3 4123
14.1%
0 1769
 
6.0%
4 1345
 
4.6%
5 1114
 
3.8%
6 1069
 
3.7%
7 941
 
3.2%
9 874
 
3.0%
Other values (75) 1976
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22008
75.3%
Dash Punctuation 6074
 
20.8%
Other Letter 1099
 
3.8%
Uppercase Letter 48
 
0.2%
Space Separator 15
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 262
23.8%
남 262
23.8%
호 51
 
4.6%
기 32
 
2.9%
심 26
 
2.4%
안 26
 
2.4%
유 26
 
2.4%
통 26
 
2.4%
떡 24
 
2.2%
집 24
 
2.2%
Other values (59) 340
30.9%
Decimal Number
ValueCountFrequency (%)
1 5300
24.1%
2 4660
21.2%
3 4123
18.7%
0 1769
 
8.0%
4 1345
 
6.1%
5 1114
 
5.1%
6 1069
 
4.9%
7 941
 
4.3%
9 874
 
4.0%
8 813
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
G 16
33.3%
O 16
33.3%
M 16
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 6074
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28098
96.1%
Hangul 1099
 
3.8%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 262
23.8%
남 262
23.8%
호 51
 
4.6%
기 32
 
2.9%
심 26
 
2.4%
안 26
 
2.4%
유 26
 
2.4%
통 26
 
2.4%
떡 24
 
2.2%
집 24
 
2.2%
Other values (59) 340
30.9%
Common
ValueCountFrequency (%)
- 6074
21.6%
1 5300
18.9%
2 4660
16.6%
3 4123
14.7%
0 1769
 
6.3%
4 1345
 
4.8%
5 1114
 
4.0%
6 1069
 
3.8%
7 941
 
3.3%
9 874
 
3.1%
Other values (3) 829
 
3.0%
Latin
ValueCountFrequency (%)
G 16
33.3%
O 16
33.3%
M 16
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28146
96.2%
Hangul 1099
 
3.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6074
21.6%
1 5300
18.8%
2 4660
16.6%
3 4123
14.6%
0 1769
 
6.3%
4 1345
 
4.8%
5 1114
 
4.0%
6 1069
 
3.8%
7 941
 
3.3%
9 874
 
3.1%
Other values (6) 877
 
3.1%
Hangul
ValueCountFrequency (%)
강 262
23.8%
남 262
23.8%
호 51
 
4.6%
기 32
 
2.9%
심 26
 
2.4%
안 26
 
2.4%
유 26
 
2.4%
통 26
 
2.4%
떡 24
 
2.2%
집 24
 
2.2%
Other values (59) 340
30.9%

수거사유코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
기타
1895 
검사용
1341 
<NA>
1100 
압류
 
1
증거용
 
1

Length

Max length4
Median length3
Mean length2.8165053
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1895
43.7%
검사용 1341
30.9%
<NA> 1100
25.4%
압류 1
 
< 0.1%
증거용 1
 
< 0.1%

Length

2024-05-11T17:04:03.261116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:03.403506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1895
43.7%
검사용 1341
30.9%
na 1100
25.4%
압류 1
 
< 0.1%
증거용 1
 
< 0.1%

업소명
Text

Distinct318
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
2024-05-11T17:04:03.631178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length9.6687414
Min length2

Characters and Unicode

Total characters41943
Distinct characters373
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

Unique196 ?
Unique (%)4.5%

Sample

1st row마포갈비
2nd row삼미
3rd row주식회사곰바우
4th row한우리외식산업(주)
5th row삼정한식당
ValueCountFrequency (%)
주)이마트역삼점 681
 
11.2%
강남점 374
 
6.1%
롯데쇼핑(주 372
 
6.1%
주)농협유통 257
 
4.2%
하나로마트 257
 
4.2%
청담점 257
 
4.2%
무역센타현대백화점 198
 
3.2%
삼성점 181
 
3.0%
주)세이러스개포지사 175
 
2.9%
롯데쇼핑(주)롯데슈퍼 166
 
2.7%
Other values (358) 3175
52.1%
2024-05-11T17:04:04.055513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2887
 
6.9%
( 2625
 
6.3%
) 2625
 
6.3%
점 2622
 
6.3%
마 1950
 
4.6%
1755
 
4.2%
트 1688
 
4.0%
이 1275
 
3.0%
삼 962
 
2.3%
역 951
 
2.3%
Other values (363) 22603
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34514
82.3%
Open Punctuation 2625
 
6.3%
Close Punctuation 2625
 
6.3%
Space Separator 1755
 
4.2%
Uppercase Letter 403
 
1.0%
Decimal Number 21
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2887
 
8.4%
점 2622
 
7.6%
마 1950
 
5.6%
트 1688
 
4.9%
이 1275
 
3.7%
삼 962
 
2.8%
역 951
 
2.8%
데 932
 
2.7%
롯 851
 
2.5%
대 635
 
1.8%
Other values (346) 19761
57.3%
Uppercase Letter
ValueCountFrequency (%)
S 238
59.1%
G 150
37.2%
C 3
 
0.7%
U 2
 
0.5%
E 2
 
0.5%
F 2
 
0.5%
A 2
 
0.5%
M 2
 
0.5%
K 1
 
0.2%
O 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
5 9
42.9%
2 8
38.1%
4 2
 
9.5%
1 2
 
9.5%
Open Punctuation
ValueCountFrequency (%)
( 2625
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2625
100.0%
Space Separator
ValueCountFrequency (%)
1755
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34514
82.3%
Common 7026
 
16.8%
Latin 403
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2887
 
8.4%
점 2622
 
7.6%
마 1950
 
5.6%
트 1688
 
4.9%
이 1275
 
3.7%
삼 962
 
2.8%
역 951
 
2.8%
데 932
 
2.7%
롯 851
 
2.5%
대 635
 
1.8%
Other values (346) 19761
57.3%
Latin
ValueCountFrequency (%)
S 238
59.1%
G 150
37.2%
C 3
 
0.7%
U 2
 
0.5%
E 2
 
0.5%
F 2
 
0.5%
A 2
 
0.5%
M 2
 
0.5%
K 1
 
0.2%
O 1
 
0.2%
Common
ValueCountFrequency (%)
( 2625
37.4%
) 2625
37.4%
1755
25.0%
5 9
 
0.1%
2 8
 
0.1%
4 2
 
< 0.1%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34514
82.3%
ASCII 7429
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2887
 
8.4%
점 2622
 
7.6%
마 1950
 
5.6%
트 1688
 
4.9%
이 1275
 
3.7%
삼 962
 
2.8%
역 951
 
2.8%
데 932
 
2.7%
롯 851
 
2.5%
대 635
 
1.8%
Other values (346) 19761
57.3%
ASCII
ValueCountFrequency (%)
( 2625
35.3%
) 2625
35.3%
1755
23.6%
S 238
 
3.2%
G 150
 
2.0%
5 9
 
0.1%
2 8
 
0.1%
C 3
 
< 0.1%
4 2
 
< 0.1%
U 2
 
< 0.1%
Other values (7) 12
 
0.2%

식품군코드
Text

MISSING 

Distinct324
Distinct (%)7.7%
Missing104
Missing (%)2.4%
Memory size34.0 KiB
2024-05-11T17:04:04.309367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length11.607936
Min length1

Characters and Unicode

Total characters49148
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)1.7%

Sample

1st row121000000
2nd row121000000
3rd row121000000
4th row121000000
5th rowG0300000300000
ValueCountFrequency (%)
c01000000 240
 
5.8%
821000000 166
 
4.0%
201000000 159
 
3.8%
g0100000100000 113
 
2.7%
801000000 109
 
2.6%
803000000 97
 
2.3%
c0101010000000 87
 
2.1%
c0129180200000 83
 
2.0%
814000000 76
 
1.8%
815000000 73
 
1.8%
Other values (312) 2960
71.1%
2024-05-11T17:04:04.785838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33280
67.7%
1 5071
 
10.3%
2 2578
 
5.2%
C 2206
 
4.5%
3 1587
 
3.2%
8 1507
 
3.1%
631
 
1.3%
4 584
 
1.2%
5 453
 
0.9%
9 422
 
0.9%
Other values (11) 829
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46042
93.7%
Uppercase Letter 2475
 
5.0%
Space Separator 631
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33280
72.3%
1 5071
 
11.0%
2 2578
 
5.6%
3 1587
 
3.4%
8 1507
 
3.3%
4 584
 
1.3%
5 453
 
1.0%
9 422
 
0.9%
6 292
 
0.6%
7 268
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 2206
89.1%
G 169
 
6.8%
E 72
 
2.9%
H 11
 
0.4%
Z 6
 
0.2%
D 3
 
0.1%
X 3
 
0.1%
F 3
 
0.1%
B 1
 
< 0.1%
A 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
631
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46673
95.0%
Latin 2475
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33280
71.3%
1 5071
 
10.9%
2 2578
 
5.5%
3 1587
 
3.4%
8 1507
 
3.2%
631
 
1.4%
4 584
 
1.3%
5 453
 
1.0%
9 422
 
0.9%
6 292
 
0.6%
Latin
ValueCountFrequency (%)
C 2206
89.1%
G 169
 
6.8%
E 72
 
2.9%
H 11
 
0.4%
Z 6
 
0.2%
D 3
 
0.1%
X 3
 
0.1%
F 3
 
0.1%
B 1
 
< 0.1%
A 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33280
67.7%
1 5071
 
10.3%
2 2578
 
5.2%
C 2206
 
4.5%
3 1587
 
3.2%
8 1507
 
3.1%
631
 
1.3%
4 584
 
1.2%
5 453
 
0.9%
9 422
 
0.9%
Other values (11) 829
 
1.7%

식품군
Text

MISSING 

Distinct228
Distinct (%)5.8%
Missing435
Missing (%)10.0%
Memory size34.0 KiB
2024-05-11T17:04:05.175985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length17
Mean length5.0663592
Min length1

Characters and Unicode

Total characters19774
Distinct characters260
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

Unique43 ?
Unique (%)1.1%

Sample

1st row식육류중육류
2nd row식육류중육류
3rd row식육류중육류
4th row식육류중육류
5th row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
ValueCountFrequency (%)
과자류 311
 
6.5%
조미식품 193
 
4.0%
등 148
 
3.1%
음료류 135
 
2.8%
코코아가공품류또는초콜릿류 127
 
2.6%
조리식품 113
 
2.4%
과자 104
 
2.2%
즉석조리식품 104
 
2.2%
식용유지류 102
 
2.1%
면류 96
 
2.0%
Other values (244) 3360
70.1%
2024-05-11T17:04:05.671249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 2058
 
10.4%
품 1202
 
6.1%
식 1067
 
5.4%
890
 
4.5%
가 600
 
3.0%
조 547
 
2.8%
과 507
 
2.6%
공 502
 
2.5%
자 421
 
2.1%
는 412
 
2.1%
Other values (250) 11568
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18510
93.6%
Space Separator 890
 
4.5%
Other Punctuation 223
 
1.1%
Close Punctuation 65
 
0.3%
Open Punctuation 65
 
0.3%
Uppercase Letter 15
 
0.1%
Decimal Number 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 2058
 
11.1%
품 1202
 
6.5%
식 1067
 
5.8%
가 600
 
3.2%
조 547
 
3.0%
과 507
 
2.7%
공 502
 
2.7%
자 421
 
2.3%
는 412
 
2.2%
또 377
 
2.0%
Other values (233) 10817
58.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
26.7%
E 3
20.0%
P 2
13.3%
D 2
13.3%
H 2
13.3%
B 2
13.3%
Other Punctuation
ValueCountFrequency (%)
, 123
55.2%
. 85
38.1%
? 12
 
5.4%
/ 3
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
890
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18510
93.6%
Common 1249
 
6.3%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 2058
 
11.1%
품 1202
 
6.5%
식 1067
 
5.8%
가 600
 
3.2%
조 547
 
3.0%
과 507
 
2.7%
공 502
 
2.7%
자 421
 
2.3%
는 412
 
2.2%
또 377
 
2.0%
Other values (233) 10817
58.4%
Common
ValueCountFrequency (%)
890
71.3%
, 123
 
9.8%
. 85
 
6.8%
) 65
 
5.2%
( 65
 
5.2%
? 12
 
1.0%
/ 3
 
0.2%
2 2
 
0.2%
1 2
 
0.2%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
A 4
26.7%
E 3
20.0%
P 2
13.3%
D 2
13.3%
H 2
13.3%
B 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18510
93.6%
ASCII 1264
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 2058
 
11.1%
품 1202
 
6.5%
식 1067
 
5.8%
가 600
 
3.2%
조 547
 
3.0%
과 507
 
2.7%
공 502
 
2.7%
자 421
 
2.3%
는 412
 
2.2%
또 377
 
2.0%
Other values (233) 10817
58.4%
ASCII
ValueCountFrequency (%)
890
70.4%
, 123
 
9.7%
. 85
 
6.7%
) 65
 
5.1%
( 65
 
5.1%
? 12
 
0.9%
A 4
 
0.3%
/ 3
 
0.2%
E 3
 
0.2%
P 2
 
0.2%
Other values (7) 12
 
0.9%

품목명
Text

MISSING 

Distinct319
Distinct (%)7.6%
Missing138
Missing (%)3.2%
Memory size34.0 KiB
2024-05-11T17:04:06.030451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length19
Mean length4.72
Min length1

Characters and Unicode

Total characters19824
Distinct characters308
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

Unique86 ?
Unique (%)2.0%

Sample

1st row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
2nd row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
3rd row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
4th row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
5th row칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)
ValueCountFrequency (%)
등 235
 
4.5%
조리식품 222
 
4.3%
소스류 167
 
3.2%
과자 148
 
2.9%
초콜릿가공품 132
 
2.6%
즉석조리식품 123
 
2.4%
캔디류 104
 
2.0%
떡류 101
 
2.0%
두부 99
 
1.9%
유탕면류 99
 
1.9%
Other values (338) 3741
72.3%
2024-05-11T17:04:06.581684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 1083
 
5.5%
971
 
4.9%
품 925
 
4.7%
식 629
 
3.2%
가 616
 
3.1%
조 590
 
3.0%
공 488
 
2.5%
기 451
 
2.3%
리 446
 
2.2%
유 391
 
2.0%
Other values (298) 13234
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18114
91.4%
Space Separator 971
 
4.9%
Other Punctuation 285
 
1.4%
Open Punctuation 189
 
1.0%
Close Punctuation 189
 
1.0%
Uppercase Letter 47
 
0.2%
Decimal Number 17
 
0.1%
Dash Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 1083
 
6.0%
품 925
 
5.1%
식 629
 
3.5%
가 616
 
3.4%
조 590
 
3.3%
공 488
 
2.7%
기 451
 
2.5%
리 446
 
2.5%
유 391
 
2.2%
과 382
 
2.1%
Other values (280) 12113
66.9%
Uppercase Letter
ValueCountFrequency (%)
C 18
38.3%
A 8
17.0%
E 6
 
12.8%
D 6
 
12.8%
H 3
 
6.4%
P 3
 
6.4%
B 3
 
6.4%
Other Punctuation
ValueCountFrequency (%)
. 155
54.4%
, 110
38.6%
? 18
 
6.3%
/ 2
 
0.7%
Decimal Number
ValueCountFrequency (%)
3 12
70.6%
1 3
 
17.6%
2 2
 
11.8%
Space Separator
ValueCountFrequency (%)
971
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18114
91.4%
Common 1663
 
8.4%
Latin 47
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 1083
 
6.0%
품 925
 
5.1%
식 629
 
3.5%
가 616
 
3.4%
조 590
 
3.3%
공 488
 
2.7%
기 451
 
2.5%
리 446
 
2.5%
유 391
 
2.2%
과 382
 
2.1%
Other values (280) 12113
66.9%
Common
ValueCountFrequency (%)
971
58.4%
( 189
 
11.4%
) 189
 
11.4%
. 155
 
9.3%
, 110
 
6.6%
? 18
 
1.1%
- 12
 
0.7%
3 12
 
0.7%
1 3
 
0.2%
2 2
 
0.1%
Latin
ValueCountFrequency (%)
C 18
38.3%
A 8
17.0%
E 6
 
12.8%
D 6
 
12.8%
H 3
 
6.4%
P 3
 
6.4%
B 3
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18114
91.4%
ASCII 1710
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 1083
 
6.0%
품 925
 
5.1%
식 629
 
3.5%
가 616
 
3.4%
조 590
 
3.3%
공 488
 
2.7%
기 451
 
2.5%
리 446
 
2.5%
유 391
 
2.2%
과 382
 
2.1%
Other values (280) 12113
66.9%
ASCII
ValueCountFrequency (%)
971
56.8%
( 189
 
11.1%
) 189
 
11.1%
. 155
 
9.1%
, 110
 
6.4%
C 18
 
1.1%
? 18
 
1.1%
- 12
 
0.7%
3 12
 
0.7%
A 8
 
0.5%
Other values (8) 28
 
1.6%

제품명
Text

Distinct3487
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
2024-05-11T17:04:06.956450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length38
Mean length7.5258183
Min length1

Characters and Unicode

Total characters32647
Distinct characters886
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3009 ?
Unique (%)69.4%

Sample

1st row쇠고기
2nd row쇠고기
3rd row쇠고기
4th row쇠고기
5th row냉장고 손잡이2
ValueCountFrequency (%)
청정원 58
 
1.0%
쇠고기 52
 
0.9%
유기농 44
 
0.7%
자판기커피 37
 
0.6%
비비고 29
 
0.5%
만든 22
 
0.4%
태양초 20
 
0.3%
백설 20
 
0.3%
참기름 19
 
0.3%
복음자리 19
 
0.3%
Other values (3949) 5737
94.7%
2024-05-11T17:04:07.468604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1720
 
5.3%
스 800
 
2.5%
리 666
 
2.0%
기 567
 
1.7%
이 507
 
1.6%
고 432
 
1.3%
유 351
 
1.1%
드 350
 
1.1%
장 327
 
1.0%
치 306
 
0.9%
Other values (876) 26621
81.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28977
88.8%
Space Separator 1720
 
5.3%
Uppercase Letter 843
 
2.6%
Decimal Number 464
 
1.4%
Lowercase Letter 268
 
0.8%
Other Punctuation 124
 
0.4%
Open Punctuation 116
 
0.4%
Close Punctuation 116
 
0.4%
Dash Punctuation 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 800
 
2.8%
리 666
 
2.3%
기 567
 
2.0%
이 507
 
1.7%
고 432
 
1.5%
유 351
 
1.2%
드 350
 
1.2%
장 327
 
1.1%
치 306
 
1.1%
가 295
 
1.0%
Other values (802) 24376
84.1%
Uppercase Letter
ValueCountFrequency (%)
E 80
 
9.5%
C 73
 
8.7%
A 70
 
8.3%
O 64
 
7.6%
I 61
 
7.2%
G 48
 
5.7%
N 47
 
5.6%
S 44
 
5.2%
T 42
 
5.0%
R 42
 
5.0%
Other values (15) 272
32.3%
Lowercase Letter
ValueCountFrequency (%)
a 47
17.5%
m 28
10.4%
e 26
9.7%
p 23
 
8.6%
l 16
 
6.0%
i 15
 
5.6%
o 14
 
5.2%
s 13
 
4.9%
u 12
 
4.5%
r 11
 
4.1%
Other values (13) 63
23.5%
Decimal Number
ValueCountFrequency (%)
0 150
32.3%
1 110
23.7%
3 74
15.9%
2 53
 
11.4%
5 25
 
5.4%
7 21
 
4.5%
6 10
 
2.2%
4 9
 
1.9%
8 7
 
1.5%
9 5
 
1.1%
Other Punctuation
ValueCountFrequency (%)
% 41
33.1%
& 20
16.1%
; 19
15.3%
. 15
 
12.1%
/ 10
 
8.1%
？ 10
 
8.1%
, 3
 
2.4%
! 3
 
2.4%
? 2
 
1.6%
: 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 115
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 115
99.1%
] 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28966
88.7%
Common 2559
 
7.8%
Latin 1111
 
3.4%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 800
 
2.8%
리 666
 
2.3%
기 567
 
2.0%
이 507
 
1.8%
고 432
 
1.5%
유 351
 
1.2%
드 350
 
1.2%
장 327
 
1.1%
치 306
 
1.1%
가 295
 
1.0%
Other values (794) 24365
84.1%
Latin
ValueCountFrequency (%)
E 80
 
7.2%
C 73
 
6.6%
A 70
 
6.3%
O 64
 
5.8%
I 61
 
5.5%
G 48
 
4.3%
N 47
 
4.2%
a 47
 
4.2%
S 44
 
4.0%
T 42
 
3.8%
Other values (38) 535
48.2%
Common
ValueCountFrequency (%)
1720
67.2%
0 150
 
5.9%
( 115
 
4.5%
) 115
 
4.5%
1 110
 
4.3%
3 74
 
2.9%
2 53
 
2.1%
% 41
 
1.6%
5 25
 
1.0%
7 21
 
0.8%
Other values (16) 135
 
5.3%
Han
ValueCountFrequency (%)
生 3
27.3%
純 2
18.2%
一 1
 
9.1%
品 1
 
9.1%
男 1
 
9.1%
作 1
 
9.1%
茶 1
 
9.1%
眞 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28966
88.7%
ASCII 3660
 
11.2%
None 10
 
< 0.1%
CJK 10
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1720
47.0%
0 150
 
4.1%
( 115
 
3.1%
) 115
 
3.1%
1 110
 
3.0%
E 80
 
2.2%
3 74
 
2.0%
C 73
 
2.0%
A 70
 
1.9%
O 64
 
1.7%
Other values (63) 1089
29.8%
Hangul
ValueCountFrequency (%)
스 800
 
2.8%
리 666
 
2.3%
기 567
 
2.0%
이 507
 
1.8%
고 432
 
1.5%
유 351
 
1.2%
드 350
 
1.2%
장 327
 
1.1%
치 306
 
1.1%
가 295
 
1.0%
Other values (794) 24365
84.1%
None
ValueCountFrequency (%)
？ 10
100.0%
CJK
ValueCountFrequency (%)
生 3
30.0%
純 2
20.0%
一 1
 
10.0%
品 1
 
10.0%
男 1
 
10.0%
作 1
 
10.0%
眞 1
 
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

음식물명
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
4264 
자판기커피
 
28
한우
 
10
수족관물
 
5
냉면육수
 
3
Other values (17)
 
28

Length

Max length5
Median length4
Mean length3.9940065
Min length1

Unique

Unique8 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4264
98.3%
자판기커피 28
 
0.6%
한우 10
 
0.2%
수족관물 5
 
0.1%
냉면육수 3
 
0.1%
패스츄리 3
 
0.1%
쿠키 3
 
0.1%
케익 2
 
< 0.1%
김밥 2
 
< 0.1%
김치 2
 
< 0.1%
Other values (12) 16
 
0.4%

Length

2024-05-11T17:04:07.622277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4264
98.3%
자판기커피 28
 
0.6%
한우 10
 
0.2%
수족관물 5
 
0.1%
냉면육수 3
 
0.1%
패스츄리 3
 
0.1%
쿠키 3
 
0.1%
샌드위치 2
 
< 0.1%
단과자 2
 
< 0.1%
식빵 2
 
< 0.1%
Other values (12) 16
 
0.4%

원료명
Text

MISSING 

Distinct6
Distinct (%)60.0%
Missing4328
Missing (%)99.8%
Memory size34.0 KiB
2024-05-11T17:04:07.748971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.1
Min length2

Characters and Unicode

Total characters21
Distinct characters13
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 (%)50.0%

Sample

1st row밀가루
2nd row대두
3rd row대두
4th row동태
5th row야채
ValueCountFrequency (%)
대두 5
50.0%
밀가루 1
 
10.0%
동태 1
 
10.0%
야채 1
 
10.0%
땅콩 1
 
10.0%
벌꿀 1
 
10.0%
2024-05-11T17:04:08.003764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 5
23.8%
두 5
23.8%
밀 1
 
4.8%
가 1
 
4.8%
루 1
 
4.8%
동 1
 
4.8%
태 1
 
4.8%
야 1
 
4.8%
채 1
 
4.8%
땅 1
 
4.8%
Other values (3) 3
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 5
23.8%
두 5
23.8%
밀 1
 
4.8%
가 1
 
4.8%
루 1
 
4.8%
동 1
 
4.8%
태 1
 
4.8%
야 1
 
4.8%
채 1
 
4.8%
땅 1
 
4.8%
Other values (3) 3
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 5
23.8%
두 5
23.8%
밀 1
 
4.8%
가 1
 
4.8%
루 1
 
4.8%
동 1
 
4.8%
태 1
 
4.8%
야 1
 
4.8%
채 1
 
4.8%
땅 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 5
23.8%
두 5
23.8%
밀 1
 
4.8%
가 1
 
4.8%
루 1
 
4.8%
동 1
 
4.8%
태 1
 
4.8%
야 1
 
4.8%
채 1
 
4.8%
땅 1
 
4.8%
Other values (3) 3
14.3%

생산업소
Text

MISSING 

Distinct621
Distinct (%)26.8%
Missing2019
Missing (%)46.5%
Memory size34.0 KiB
2024-05-11T17:04:08.256199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length7.1617076
Min length2

Characters and Unicode

Total characters16608
Distinct characters423
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

Unique335 ?
Unique (%)14.4%

Sample

1st row(주)토속푸드담다
2nd row(주)토속푸드담다
3rd row(주)토속푸드담다
4th row서울 강남구 학동로402, 1층
5th row서울특별시 강남구 학동로342, 105호
ValueCountFrequency (%)
주)오뚜기 181
 
7.3%
씨제이제일제당(주 163
 
6.6%
대상(주 107
 
4.3%
주)대상 55
 
2.2%
국립국악중.고등학교 52
 
2.1%
주)씨제이제일제당 51
 
2.1%
주)복음자리 44
 
1.8%
주)농심 39
 
1.6%
롯데제과(주 39
 
1.6%
일원초등학교 30
 
1.2%
Other values (662) 1711
69.2%
2024-05-11T17:04:08.665395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1703
 
10.3%
( 1675
 
10.1%
) 1675
 
10.1%
제 882
 
5.3%
식 386
 
2.3%
이 374
 
2.3%
품 345
 
2.1%
일 332
 
2.0%
오 308
 
1.9%
씨 288
 
1.7%
Other values (413) 8640
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12626
76.0%
Open Punctuation 1675
 
10.1%
Close Punctuation 1675
 
10.1%
Uppercase Letter 234
 
1.4%
Space Separator 153
 
0.9%
Other Punctuation 104
 
0.6%
Decimal Number 79
 
0.5%
Lowercase Letter 60
 
0.4%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1703
 
13.5%
제 882
 
7.0%
식 386
 
3.1%
이 374
 
3.0%
품 345
 
2.7%
일 332
 
2.6%
오 308
 
2.4%
씨 288
 
2.3%
기 259
 
2.1%
당 244
 
1.9%
Other values (372) 7505
59.4%
Uppercase Letter
ValueCountFrequency (%)
F 29
12.4%
P 21
 
9.0%
B 20
 
8.5%
N 18
 
7.7%
A 18
 
7.7%
C 15
 
6.4%
O 13
 
5.6%
M 13
 
5.6%
I 11
 
4.7%
T 10
 
4.3%
Other values (12) 66
28.2%
Decimal Number
ValueCountFrequency (%)
1 17
21.5%
4 14
17.7%
3 13
16.5%
2 13
16.5%
6 12
15.2%
0 6
 
7.6%
5 2
 
2.5%
7 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 57
54.8%
; 20
 
19.2%
& 20
 
19.2%
, 7
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
m 20
33.3%
p 20
33.3%
a 20
33.3%
Open Punctuation
ValueCountFrequency (%)
( 1675
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1675
100.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12626
76.0%
Common 3688
 
22.2%
Latin 294
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1703
 
13.5%
제 882
 
7.0%
식 386
 
3.1%
이 374
 
3.0%
품 345
 
2.7%
일 332
 
2.6%
오 308
 
2.4%
씨 288
 
2.3%
기 259
 
2.1%
당 244
 
1.9%
Other values (372) 7505
59.4%
Latin
ValueCountFrequency (%)
F 29
 
9.9%
P 21
 
7.1%
m 20
 
6.8%
p 20
 
6.8%
a 20
 
6.8%
B 20
 
6.8%
N 18
 
6.1%
A 18
 
6.1%
C 15
 
5.1%
O 13
 
4.4%
Other values (15) 100
34.0%
Common
ValueCountFrequency (%)
( 1675
45.4%
) 1675
45.4%
153
 
4.1%
. 57
 
1.5%
; 20
 
0.5%
& 20
 
0.5%
1 17
 
0.5%
4 14
 
0.4%
3 13
 
0.4%
2 13
 
0.4%
Other values (6) 31
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12626
76.0%
ASCII 3982
 
24.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1703
 
13.5%
제 882
 
7.0%
식 386
 
3.1%
이 374
 
3.0%
품 345
 
2.7%
일 332
 
2.6%
오 308
 
2.4%
씨 288
 
2.3%
기 259
 
2.1%
당 244
 
1.9%
Other values (372) 7505
59.4%
ASCII
ValueCountFrequency (%)
( 1675
42.1%
) 1675
42.1%
153
 
3.8%
. 57
 
1.4%
F 29
 
0.7%
P 21
 
0.5%
; 20
 
0.5%
& 20
 
0.5%
m 20
 
0.5%
p 20
 
0.5%
Other values (31) 292
 
7.3%

수거일자
Real number (ℝ)

Distinct248
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20153517
Minimum20090115
Maximum20240307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:08.806724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090115
5-th percentile20090609
Q120110823
median20160426
Q320180904
95-th percentile20230608
Maximum20240307
Range150192
Interquartile range (IQR)70081

Descriptive statistics

Standard deviation41677.641
Coefficient of variation (CV)0.0020680083
Kurtosis-1.0004536
Mean20153517
Median Absolute Deviation (MAD)30401
Skewness0.10435638
Sum8.7425959 × 1010
Variance1.7370258 × 109
MonotonicityNot monotonic
2024-05-11T17:04:08.968619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120514 114
 
2.6%
20110422 78
 
1.8%
20090609 74
 
1.7%
20211202 66
 
1.5%
20211007 65
 
1.5%
20110415 53
 
1.2%
20170323 52
 
1.2%
20090519 51
 
1.2%
20090428 49
 
1.1%
20110818 48
 
1.1%
Other values (238) 3688
85.0%
ValueCountFrequency (%)
20090115 31
0.7%
20090212 27
 
0.6%
20090428 49
1.1%
20090519 51
1.2%
20090521 16
 
0.4%
20090602 37
0.9%
20090609 74
1.7%
20090616 11
 
0.3%
20090729 15
 
0.3%
20090909 22
 
0.5%
ValueCountFrequency (%)
20240307 1
 
< 0.1%
20240305 2
 
< 0.1%
20240205 28
0.6%
20240123 3
 
0.1%
20240119 1
 
< 0.1%
20240105 15
0.3%
20240104 11
 
0.3%
20231229 10
 
0.2%
20231129 33
0.8%
20231124 1
 
< 0.1%

수거량(정량)
Real number (ℝ)

MISSING  SKEWED 

Distinct33
Distinct (%)0.8%
Missing451
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean4.0913301
Minimum1
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:09.142469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile8
Maximum1200
Range1199
Interquartile range (IQR)2

Descriptive statistics

Standard deviation20.365842
Coefficient of variation (CV)4.9778047
Kurtosis3069.7654
Mean4.0913301
Median Absolute Deviation (MAD)1
Skewness52.905396
Sum15903
Variance414.76752
MonotonicityNot monotonic
2024-05-11T17:04:09.313755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2 1042
24.0%
3 868
20.0%
1 719
16.6%
6 491
11.3%
4 318
 
7.3%
5 193
 
4.4%
7 57
 
1.3%
8 44
 
1.0%
10 34
 
0.8%
9 21
 
0.5%
Other values (23) 100
 
2.3%
(Missing) 451
10.4%
ValueCountFrequency (%)
1 719
16.6%
2 1042
24.0%
3 868
20.0%
4 318
 
7.3%
5 193
 
4.4%
6 491
11.3%
7 57
 
1.3%
8 44
 
1.0%
9 21
 
0.5%
10 34
 
0.8%
ValueCountFrequency (%)
1200 1
 
< 0.1%
270 1
 
< 0.1%
100 6
0.1%
72 1
 
< 0.1%
60 1
 
< 0.1%
50 2
 
< 0.1%
40 1
 
< 0.1%
35 5
0.1%
30 12
0.3%
28 2
 
< 0.1%

제품규격(정량)
Text

MISSING 

Distinct512
Distinct (%)14.8%
Missing868
Missing (%)20.0%
Memory size34.0 KiB
2024-05-11T17:04:09.682680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.159366
Min length1

Characters and Unicode

Total characters10963
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)6.7%

Sample

1st row300g
2nd row300g
3rd row300g
4th row300g
5th row520
ValueCountFrequency (%)
500 242
 
7.0%
300 190
 
5.5%
200 188
 
5.4%
100 161
 
4.6%
1 100
 
2.9%
300g 99
 
2.9%
150 94
 
2.7%
400 77
 
2.2%
250 71
 
2.0%
350 63
 
1.8%
Other values (502) 2185
63.0%
2024-05-11T17:04:10.174251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4101
37.4%
5 1068
 
9.7%
1 1055
 
9.6%
2 972
 
8.9%
3 911
 
8.3%
4 549
 
5.0%
g 461
 
4.2%
8 406
 
3.7%
6 390
 
3.6%
7 285
 
2.6%
Other values (7) 765
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9980
91.0%
Lowercase Letter 898
 
8.2%
Other Punctuation 76
 
0.7%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4101
41.1%
5 1068
 
10.7%
1 1055
 
10.6%
2 972
 
9.7%
3 911
 
9.1%
4 549
 
5.5%
8 406
 
4.1%
6 390
 
3.9%
7 285
 
2.9%
9 243
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
g 461
51.3%
m 211
23.5%
l 211
23.5%
k 15
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
L 8
88.9%
M 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10056
91.7%
Latin 907
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4101
40.8%
5 1068
 
10.6%
1 1055
 
10.5%
2 972
 
9.7%
3 911
 
9.1%
4 549
 
5.5%
8 406
 
4.0%
6 390
 
3.9%
7 285
 
2.8%
9 243
 
2.4%
Latin
ValueCountFrequency (%)
g 461
50.8%
m 211
23.3%
l 211
23.3%
k 15
 
1.7%
L 8
 
0.9%
M 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4101
37.4%
5 1068
 
9.7%
1 1055
 
9.6%
2 972
 
8.9%
3 911
 
8.3%
4 549
 
5.0%
g 461
 
4.2%
8 406
 
3.7%
6 390
 
3.6%
7 285
 
2.6%
Other values (7) 765
 
7.0%

단위(정량)
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
g
2271 
<NA>
1551 
ML
388 
KG
 
100
LT
 
18

Length

Max length4
Median length1
Mean length2.1892577
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 (%)
g 2271
52.4%
<NA> 1551
35.8%
ML 388
 
8.9%
KG 100
 
2.3%
LT 18
 
0.4%
매 10
 
0.2%

Length

2024-05-11T17:04:10.321135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:10.446997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 2271
52.4%
na 1551
35.8%
ml 388
 
8.9%
kg 100
 
2.3%
lt 18
 
0.4%
매 10
 
0.2%

수거량(자유)
Categorical

IMBALANCE 

Distinct33
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3887 
600g 이상
 
112
600
 
72
600ml 이상
 
70
600ml
 
64
Other values (28)
 
133

Length

Max length15
Median length4
Mean length4.1954818
Min length2

Unique

Unique11 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3887
89.6%
600g 이상 112
 
2.6%
600 72
 
1.7%
600ml 이상 70
 
1.6%
600ml 64
 
1.5%
swab 2EA 22
 
0.5%
230g 14
 
0.3%
200g이상 12
 
0.3%
80g 12
 
0.3%
1L 11
 
0.3%
Other values (23) 62
 
1.4%

Length

2024-05-11T17:04:10.601488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3887
85.0%
이상 196
 
4.3%
600ml 134
 
2.9%
600g 118
 
2.6%
600 72
 
1.6%
swab 36
 
0.8%
2ea 34
 
0.7%
230g 14
 
0.3%
200g이상 12
 
0.3%
80g 12
 
0.3%
Other values (19) 58
 
1.3%

제조일자(일자)
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)40.6%
Missing3742
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean20195980
Minimum20111207
Maximum20240205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:10.746027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111207
5-th percentile20140311
Q120170602
median20195558
Q320230612
95-th percentile20240108
Maximum20240205
Range128998
Interquartile range (IQR)60010

Descriptive statistics

Standard deviation32855.81
Coefficient of variation (CV)0.001626849
Kurtosis-0.81119893
Mean20195980
Median Absolute Deviation (MAD)25235
Skewness-0.3614863
Sum1.2036804 × 1010
Variance1.0795042 × 109
MonotonicityNot monotonic
2024-05-11T17:04:10.924628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170323 51
 
1.2%
20170602 30
 
0.7%
20230607 15
 
0.3%
20240105 14
 
0.3%
20230605 12
 
0.3%
20150721 12
 
0.3%
20240104 11
 
0.3%
20231124 11
 
0.3%
20230612 11
 
0.3%
20231123 10
 
0.2%
Other values (232) 419
 
9.7%
(Missing) 3742
86.3%
ValueCountFrequency (%)
20111207 1
 
< 0.1%
20111208 1
 
< 0.1%
20120104 1
 
< 0.1%
20120601 1
 
< 0.1%
20120712 9
0.2%
20130125 1
 
< 0.1%
20130411 1
 
< 0.1%
20130509 1
 
< 0.1%
20130604 4
0.1%
20131112 6
0.1%
ValueCountFrequency (%)
20240205 7
0.2%
20240202 6
0.1%
20240201 6
0.1%
20240131 6
0.1%
20240129 1
 
< 0.1%
20240123 3
 
0.1%
20240119 1
 
< 0.1%
20240105 14
0.3%
20240104 11
0.3%
20231229 10
0.2%

제조일자(롯트)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

유통기한(일자)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing4323
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20122660
Minimum20111014
Maximum20130523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:11.070254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111014
5-th percentile20111023
Q120115928
median20121007
Q320130319
95-th percentile20130382
Maximum20130523
Range19509
Interquartile range (IQR)14391

Descriptive statistics

Standard deviation8293.4963
Coefficient of variation (CV)0.00041214712
Kurtosis-1.5094328
Mean20122660
Median Absolute Deviation (MAD)9313
Skewness-0.4610158
Sum3.018399 × 108
Variance68782081
MonotonicityNot monotonic
2024-05-11T17:04:11.224527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20130320 2
 
< 0.1%
20130218 1
 
< 0.1%
20130318 1
 
< 0.1%
20130322 1
 
< 0.1%
20111027 1
 
< 0.1%
20111031 1
 
< 0.1%
20111014 1
 
< 0.1%
20111028 1
 
< 0.1%
20121007 1
 
< 0.1%
20120915 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 4323
99.7%
ValueCountFrequency (%)
20111014 1
< 0.1%
20111027 1
< 0.1%
20111028 1
< 0.1%
20111031 1
< 0.1%
20120825 1
< 0.1%
20120913 1
< 0.1%
20120915 1
< 0.1%
20121007 1
< 0.1%
20130117 1
< 0.1%
20130218 1
< 0.1%
ValueCountFrequency (%)
20130523 1
< 0.1%
20130322 1
< 0.1%
20130320 2
< 0.1%
20130318 1
< 0.1%
20130218 1
< 0.1%
20130117 1
< 0.1%
20121007 1
< 0.1%
20120915 1
< 0.1%
20120913 1
< 0.1%
20120825 1
< 0.1%

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)75.0%
Missing4326
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean164.66667
Minimum2
Maximum730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:11.347867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.55
Q14
median29
Q3365
95-th percentile529.25
Maximum730
Range728
Interquartile range (IQR)361

Descriptive statistics

Standard deviation236.05136
Coefficient of variation (CV)1.4335103
Kurtosis1.5966725
Mean164.66667
Median Absolute Deviation (MAD)26.5
Skewness1.4830527
Sum1976
Variance55720.242
MonotonicityNot monotonic
2024-05-11T17:04:11.471089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
365 3
 
0.1%
4 2
 
< 0.1%
3 1
 
< 0.1%
20 1
 
< 0.1%
28 1
 
< 0.1%
30 1
 
< 0.1%
730 1
 
< 0.1%
2 1
 
< 0.1%
60 1
 
< 0.1%
(Missing) 4326
99.7%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 1
 
< 0.1%
4 2
< 0.1%
20 1
 
< 0.1%
28 1
 
< 0.1%
30 1
 
< 0.1%
60 1
 
< 0.1%
365 3
0.1%
730 1
 
< 0.1%
ValueCountFrequency (%)
730 1
 
< 0.1%
365 3
0.1%
60 1
 
< 0.1%
30 1
 
< 0.1%
28 1
 
< 0.1%
20 1
 
< 0.1%
4 2
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

보관상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
실온
1382 
기타
1311 
<NA>
1100 
냉장
392 
냉동
153 

Length

Max length4
Median length2
Mean length2.5071462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 1382
31.9%
기타 1311
30.2%
<NA> 1100
25.4%
냉장 392
 
9.0%
냉동 153
 
3.5%

Length

2024-05-11T17:04:11.631907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:11.770228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 1382
31.9%
기타 1311
30.2%
na 1100
25.4%
냉장 392
 
9.0%
냉동 153
 
3.5%

바코드번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

어린이기호식품유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

검사기관명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
2649 
1
1689 

Length

Max length4
Median length4
Mean length2.8319502
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2649
61.1%
1 1689
38.9%

Length

2024-05-11T17:04:12.212494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:12.341664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2649
61.1%
1 1689
38.9%

(구)제조사명
Text

MISSING 

Distinct500
Distinct (%)37.2%
Missing2993
Missing (%)69.0%
Memory size34.0 KiB
2024-05-11T17:04:12.572749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length6.863197
Min length2

Characters and Unicode

Total characters9231
Distinct characters400
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique332 ?
Unique (%)24.7%

Sample

1st row마포갈비
2nd row삼미갈비
3rd row(주)곰바우
4th row한우리
5th row냉면무역점
ValueCountFrequency (%)
주)오뚜기 118
 
8.5%
씨제이제일제당(주 61
 
4.4%
주)씨제이제일제당 42
 
3.0%
주)대상 39
 
2.8%
대상(주 29
 
2.1%
롯데제과(주 27
 
1.9%
주)복음자리 22
 
1.6%
대왕초등학교 22
 
1.6%
집단급식소 22
 
1.6%
동서식품 16
 
1.2%
Other values (506) 988
71.3%
2024-05-11T17:04:12.971496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 907
 
9.8%
( 892
 
9.7%
) 892
 
9.7%
제 459
 
5.0%
식 241
 
2.6%
이 224
 
2.4%
품 204
 
2.2%
오 193
 
2.1%
기 162
 
1.8%
뚜 150
 
1.6%
Other values (390) 4907
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7225
78.3%
Open Punctuation 892
 
9.7%
Close Punctuation 892
 
9.7%
Uppercase Letter 84
 
0.9%
Lowercase Letter 72
 
0.8%
Space Separator 41
 
0.4%
Decimal Number 16
 
0.2%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 907
 
12.6%
제 459
 
6.4%
식 241
 
3.3%
이 224
 
3.1%
품 204
 
2.8%
오 193
 
2.7%
기 162
 
2.2%
뚜 150
 
2.1%
일 150
 
2.1%
씨 125
 
1.7%
Other values (343) 4410
61.0%
Uppercase Letter
ValueCountFrequency (%)
F 20
23.8%
E 8
 
9.5%
B 7
 
8.3%
N 5
 
6.0%
L 5
 
6.0%
M 5
 
6.0%
A 5
 
6.0%
O 4
 
4.8%
R 4
 
4.8%
C 4
 
4.8%
Other values (10) 17
20.2%
Lowercase Letter
ValueCountFrequency (%)
o 12
16.7%
a 10
13.9%
r 6
8.3%
p 6
8.3%
n 6
8.3%
d 5
6.9%
e 5
6.9%
m 4
 
5.6%
c 3
 
4.2%
s 3
 
4.2%
Other values (7) 12
16.7%
Decimal Number
ValueCountFrequency (%)
1 7
43.8%
2 5
31.2%
3 3
18.8%
4 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 4
44.4%
; 4
44.4%
. 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 892
100.0%
Close Punctuation
ValueCountFrequency (%)
) 892
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7225
78.3%
Common 1850
 
20.0%
Latin 156
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 907
 
12.6%
제 459
 
6.4%
식 241
 
3.3%
이 224
 
3.1%
품 204
 
2.8%
오 193
 
2.7%
기 162
 
2.2%
뚜 150
 
2.1%
일 150
 
2.1%
씨 125
 
1.7%
Other values (343) 4410
61.0%
Latin
ValueCountFrequency (%)
F 20
 
12.8%
o 12
 
7.7%
a 10
 
6.4%
E 8
 
5.1%
B 7
 
4.5%
r 6
 
3.8%
p 6
 
3.8%
n 6
 
3.8%
d 5
 
3.2%
e 5
 
3.2%
Other values (27) 71
45.5%
Common
ValueCountFrequency (%)
( 892
48.2%
) 892
48.2%
41
 
2.2%
1 7
 
0.4%
2 5
 
0.3%
& 4
 
0.2%
; 4
 
0.2%
3 3
 
0.2%
4 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7224
78.3%
ASCII 2006
 
21.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 907
 
12.6%
제 459
 
6.4%
식 241
 
3.3%
이 224
 
3.1%
품 204
 
2.8%
오 193
 
2.7%
기 162
 
2.2%
뚜 150
 
2.1%
일 150
 
2.1%
씨 125
 
1.7%
Other values (342) 4409
61.0%
ASCII
ValueCountFrequency (%)
( 892
44.5%
) 892
44.5%
41
 
2.0%
F 20
 
1.0%
o 12
 
0.6%
a 10
 
0.5%
E 8
 
0.4%
B 7
 
0.3%
1 7
 
0.3%
r 6
 
0.3%
Other values (37) 111
 
5.5%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
국내
3524 
국외
814 

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 3524
81.2%
국외 814
 
18.8%

Length

2024-05-11T17:04:13.126184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:13.238652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 3524
81.2%
국외 814
 
18.8%

국가명
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
3941 
미국
 
109
독일
 
49
중국
 
26
일본
 
24
Other values (32)
 
189

Length

Max length5
Median length4
Mean length3.8683725
Min length2

Unique

Unique11 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3941
90.8%
미국 109
 
2.5%
독일 49
 
1.1%
중국 26
 
0.6%
일본 24
 
0.6%
벨기에 20
 
0.5%
이탈리아 20
 
0.5%
프랑스 19
 
0.4%
베트남 12
 
0.3%
호주 12
 
0.3%
Other values (27) 106
 
2.4%

Length

2024-05-11T17:04:13.374775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3941
90.8%
미국 109
 
2.5%
독일 49
 
1.1%
중국 27
 
0.6%
일본 24
 
0.6%
벨기에 20
 
0.5%
이탈리아 20
 
0.5%
프랑스 19
 
0.4%
호주 12
 
0.3%
베트남 12
 
0.3%
Other values (27) 106
 
2.4%

검사구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
1
3000 
<NA>
990 
2
348 

Length

Max length4
Median length1
Mean length1.6846473
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3000
69.2%
<NA> 990
 
22.8%
2 348
 
8.0%

Length

2024-05-11T17:04:13.537501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:13.695445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3000
69.2%
na 990
 
22.8%
2 348
 
8.0%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)8.2%
Missing3066
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean20159188
Minimum20100113
Maximum20240307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:13.824773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100113
5-th percentile20100203
Q120101116
median20110822
Q320220209
95-th percentile20231229
Maximum20240307
Range140194
Interquartile range (IQR)119093

Descriptive statistics

Standard deviation58498.32
Coefficient of variation (CV)0.0029018192
Kurtosis-1.8902102
Mean20159188
Median Absolute Deviation (MAD)10620
Skewness0.18344824
Sum2.5642488 × 1010
Variance3.4220535 × 109
MonotonicityNot monotonic
2024-05-11T17:04:14.006233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110822 87
 
2.0%
20110422 78
 
1.8%
20211221 69
 
1.6%
20211222 64
 
1.5%
20110415 53
 
1.2%
20211125 47
 
1.1%
20100311 40
 
0.9%
20110629 40
 
0.9%
20230912 39
 
0.9%
20220210 38
 
0.9%
Other values (94) 717
 
16.5%
(Missing) 3066
70.7%
ValueCountFrequency (%)
20100113 7
 
0.2%
20100127 30
0.7%
20100202 15
 
0.3%
20100203 15
 
0.3%
20100311 40
0.9%
20100318 2
 
< 0.1%
20100406 3
 
0.1%
20100409 1
 
< 0.1%
20100413 4
 
0.1%
20100414 14
 
0.3%
ValueCountFrequency (%)
20240307 1
 
< 0.1%
20240305 2
 
< 0.1%
20240205 28
0.6%
20240123 3
 
0.1%
20240119 1
 
< 0.1%
20240105 15
0.3%
20240104 11
 
0.3%
20231229 10
 
0.2%
20231129 33
0.8%
20231124 1
 
< 0.1%

결과회보일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
4333 
20211213
 
4
20190624
 
1

Length

Max length8
Median length4
Mean length4.0046104
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4333
99.9%
20211213 4
 
0.1%
20190624 1
 
< 0.1%

Length

2024-05-11T17:04:14.189468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:14.335975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4333
99.9%
20211213 4
 
0.1%
20190624 1
 
< 0.1%

판정구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
4333 
1
 
4
2
 
1

Length

Max length4
Median length4
Mean length3.9965422
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> 4333
99.9%
1 4
 
0.1%
2 1
 
< 0.1%

Length

2024-05-11T17:04:14.486453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:14.612087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4333
99.9%
1 4
 
0.1%
2 1
 
< 0.1%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

처리결과
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing4337
Missing (%)> 99.9%
Memory size34.0 KiB
2024-05-11T17:04:14.755361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13
Distinct characters12
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

Unique1 ?
Unique (%)100.0%

Sample

1st row행정처분(영업정지15일)
ValueCountFrequency (%)
행정처분(영업정지15일 1
100.0%
2024-05-11T17:04:15.061935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 2
15.4%
행 1
7.7%
처 1
7.7%
분 1
7.7%
( 1
7.7%
영 1
7.7%
업 1
7.7%
지 1
7.7%
1 1
7.7%
5 1
7.7%
Other values (2) 2
15.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
69.2%
Decimal Number 2
 
15.4%
Open Punctuation 1
 
7.7%
Close Punctuation 1
 
7.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 2
22.2%
행 1
11.1%
처 1
11.1%
분 1
11.1%
영 1
11.1%
업 1
11.1%
지 1
11.1%
일 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
5 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
69.2%
Common 4
30.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 2
22.2%
행 1
11.1%
처 1
11.1%
분 1
11.1%
영 1
11.1%
업 1
11.1%
지 1
11.1%
일 1
11.1%
Common
ValueCountFrequency (%)
( 1
25.0%
1 1
25.0%
5 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
69.2%
ASCII 4
30.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 2
22.2%
행 1
11.1%
처 1
11.1%
분 1
11.1%
영 1
11.1%
업 1
11.1%
지 1
11.1%
일 1
11.1%
ASCII
ValueCountFrequency (%)
( 1
25.0%
1 1
25.0%
5 1
25.0%
) 1
25.0%

수거품처리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

교부번호
Real number (ℝ)

Distinct312
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.003226 × 1010
Minimum1.9820105 × 1010
Maximum2.0230138 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:15.230930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9820105 × 1010
5-th percentile1.9900105 × 1010
Q11.9990107 × 1010
median2.0010105 × 1010
Q32.0090108 × 1010
95-th percentile2.0170105 × 1010
Maximum2.0230138 × 1010
Range4.1003301 × 108
Interquartile range (IQR)1.0000058 × 108

Descriptive statistics

Standard deviation76037013
Coefficient of variation (CV)0.0037957282
Kurtosis-0.30963166
Mean2.003226 × 1010
Median Absolute Deviation (MAD)49999518
Skewness0.24850723
Sum8.6899942 × 1013
Variance5.7816273 × 1015
MonotonicityNot monotonic
2024-05-11T17:04:15.392611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990106962 727
16.8%
20000106371 372
 
8.6%
20120105773 257
 
5.9%
20120105741 199
 
4.6%
19900105389 198
 
4.6%
20040106473 177
 
4.1%
19960105968 175
 
4.0%
20090107537 170
 
3.9%
20000107231 158
 
3.6%
19900105370 108
 
2.5%
Other values (302) 1797
41.4%
ValueCountFrequency (%)
19820105112 1
 
< 0.1%
19820105197 1
 
< 0.1%
19830105147 1
 
< 0.1%
19840105376 1
 
< 0.1%
19840105491 1
 
< 0.1%
19840105500 1
 
< 0.1%
19850105408 21
0.5%
19880105526 1
 
< 0.1%
19880105576 1
 
< 0.1%
19900105200 1
 
< 0.1%
ValueCountFrequency (%)
20230138122 1
 
< 0.1%
20230138118 1
 
< 0.1%
20230137774 3
 
0.1%
20220133192 1
 
< 0.1%
20220131908 1
 
< 0.1%
20220131377 45
1.0%
20220131222 1
 
< 0.1%
20220131090 3
 
0.1%
20220129189 1
 
< 0.1%
20210109305 1
 
< 0.1%

폐기일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

폐기량(Kg)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

폐기금액(원)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

폐기장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

폐기방법
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

소재지(도로명)
Text

MISSING 

Distinct143
Distinct (%)4.9%
Missing1400
Missing (%)32.3%
Memory size34.0 KiB
2024-05-11T17:04:15.690173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length57
Mean length33.134445
Min length24

Characters and Unicode

Total characters97349
Distinct characters186
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)2.1%

Sample

1st row서울특별시 강남구 봉은사로 150, (역삼동)
2nd row서울특별시 강남구 봉은사로 150, (역삼동)
3rd row서울특별시 강남구 봉은사로 150, (역삼동)
4th row서울특별시 강남구 봉은사로 150, (역삼동)
5th row서울특별시 강남구 봉은사로 150, (역삼동)
ValueCountFrequency (%)
서울특별시 2938
 
17.2%
강남구 2938
 
17.2%
역삼로 608
 
3.6%
310 602
 
3.5%
역삼동,한솔필리아 597
 
3.5%
지하1,2층 597
 
3.5%
지하1층 436
 
2.6%
지상1층 355
 
2.1%
도곡로 343
 
2.0%
401 334
 
2.0%
Other values (305) 7350
43.0%
2024-05-11T17:04:16.211454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14160
 
14.5%
, 5795
 
6.0%
1 5498
 
5.6%
동 3496
 
3.6%
남 3171
 
3.3%
구 3145
 
3.2%
) 3096
 
3.2%
( 3096
 
3.2%
시 2979
 
3.1%
강 2971
 
3.1%
Other values (176) 49942
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56560
58.1%
Decimal Number 14267
 
14.7%
Space Separator 14160
 
14.5%
Other Punctuation 5796
 
6.0%
Close Punctuation 3096
 
3.2%
Open Punctuation 3096
 
3.2%
Uppercase Letter 235
 
0.2%
Math Symbol 121
 
0.1%
Dash Punctuation 9
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3496
 
6.2%
남 3171
 
5.6%
구 3145
 
5.6%
시 2979
 
5.3%
강 2971
 
5.3%
서 2947
 
5.2%
울 2941
 
5.2%
로 2938
 
5.2%
별 2938
 
5.2%
특 2938
 
5.2%
Other values (148) 26096
46.1%
Decimal Number
ValueCountFrequency (%)
1 5498
38.5%
0 1924
 
13.5%
2 1708
 
12.0%
3 1621
 
11.4%
4 937
 
6.6%
6 856
 
6.0%
5 653
 
4.6%
7 423
 
3.0%
9 349
 
2.4%
8 298
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 143
60.9%
A 77
32.8%
H 7
 
3.0%
S 2
 
0.9%
Q 2
 
0.9%
K 1
 
0.4%
O 1
 
0.4%
U 1
 
0.4%
E 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 5795
> 99.9%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
s 6
66.7%
g 3
33.3%
Space Separator
ValueCountFrequency (%)
14160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3096
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3096
100.0%
Math Symbol
ValueCountFrequency (%)
~ 121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56560
58.1%
Common 40545
41.6%
Latin 244
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3496
 
6.2%
남 3171
 
5.6%
구 3145
 
5.6%
시 2979
 
5.3%
강 2971
 
5.3%
서 2947
 
5.2%
울 2941
 
5.2%
로 2938
 
5.2%
별 2938
 
5.2%
특 2938
 
5.2%
Other values (148) 26096
46.1%
Common
ValueCountFrequency (%)
14160
34.9%
, 5795
14.3%
1 5498
 
13.6%
) 3096
 
7.6%
( 3096
 
7.6%
0 1924
 
4.7%
2 1708
 
4.2%
3 1621
 
4.0%
4 937
 
2.3%
6 856
 
2.1%
Other values (7) 1854
 
4.6%
Latin
ValueCountFrequency (%)
B 143
58.6%
A 77
31.6%
H 7
 
2.9%
s 6
 
2.5%
g 3
 
1.2%
S 2
 
0.8%
Q 2
 
0.8%
K 1
 
0.4%
O 1
 
0.4%
U 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56560
58.1%
ASCII 40789
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14160
34.7%
, 5795
14.2%
1 5498
 
13.5%
) 3096
 
7.6%
( 3096
 
7.6%
0 1924
 
4.7%
2 1708
 
4.2%
3 1621
 
4.0%
4 937
 
2.3%
6 856
 
2.1%
Other values (18) 2098
 
5.1%
Hangul
ValueCountFrequency (%)
동 3496
 
6.2%
남 3171
 
5.6%
구 3145
 
5.6%
시 2979
 
5.3%
강 2971
 
5.3%
서 2947
 
5.2%
울 2941
 
5.2%
로 2938
 
5.2%
별 2938
 
5.2%
특 2938
 
5.2%
Other values (148) 26096
46.1%

소재지(지번)
Text

MISSING 

Distinct306
Distinct (%)8.4%
Missing712
Missing (%)16.4%
Memory size34.0 KiB
2024-05-11T17:04:16.472227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length29.164368
Min length20

Characters and Unicode

Total characters105750
Distinct characters190
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

Unique194 ?
Unique (%)5.4%

Sample

1st row서울특별시 강남구 논현동 144번지 1호
2nd row서울특별시 강남구 논현동 143번지 10호
3rd row서울특별시 강남구 삼성동 76번지 10호
4th row서울특별시 강남구 논현동 91번지 18호
5th row서울특별시 강남구 역삼동 604번지 11호
ValueCountFrequency (%)
서울특별시 3626
17.8%
강남구 3626
17.8%
역삼동 790
 
3.9%
지상1층 609
 
3.0%
삼성동 601
 
2.9%
755번지 557
 
2.7%
한솔필리아 552
 
2.7%
지하1,2층 552
 
2.7%
지하1층 478
 
2.3%
대치동 453
 
2.2%
Other values (391) 8538
41.9%
2024-05-11T17:04:16.893983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25157
23.8%
지 5724
 
5.4%
1 5035
 
4.8%
구 3783
 
3.6%
동 3718
 
3.5%
서 3674
 
3.5%
남 3670
 
3.5%
강 3646
 
3.4%
울 3631
 
3.4%
시 3627
 
3.4%
Other values (180) 44085
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62695
59.3%
Space Separator 25157
23.8%
Decimal Number 16694
 
15.8%
Other Punctuation 614
 
0.6%
Dash Punctuation 275
 
0.3%
Open Punctuation 104
 
0.1%
Close Punctuation 104
 
0.1%
Uppercase Letter 64
 
0.1%
Math Symbol 43
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5724
 
9.1%
구 3783
 
6.0%
동 3718
 
5.9%
서 3674
 
5.9%
남 3670
 
5.9%
강 3646
 
5.8%
울 3631
 
5.8%
시 3627
 
5.8%
번 3626
 
5.8%
특 3626
 
5.8%
Other values (152) 23970
38.2%
Decimal Number
ValueCountFrequency (%)
1 5035
30.2%
5 2133
12.8%
2 1759
 
10.5%
7 1727
 
10.3%
3 1482
 
8.9%
4 1222
 
7.3%
6 1196
 
7.2%
9 1072
 
6.4%
0 710
 
4.3%
8 358
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 49
76.6%
A 7
 
10.9%
D 1
 
1.6%
E 1
 
1.6%
K 1
 
1.6%
H 1
 
1.6%
O 1
 
1.6%
U 1
 
1.6%
S 1
 
1.6%
F 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 611
99.5%
. 2
 
0.3%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
25157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 275
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62695
59.3%
Common 42991
40.7%
Latin 64
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5724
 
9.1%
구 3783
 
6.0%
동 3718
 
5.9%
서 3674
 
5.9%
남 3670
 
5.9%
강 3646
 
5.8%
울 3631
 
5.8%
시 3627
 
5.8%
번 3626
 
5.8%
특 3626
 
5.8%
Other values (152) 23970
38.2%
Common
ValueCountFrequency (%)
25157
58.5%
1 5035
 
11.7%
5 2133
 
5.0%
2 1759
 
4.1%
7 1727
 
4.0%
3 1482
 
3.4%
4 1222
 
2.8%
6 1196
 
2.8%
9 1072
 
2.5%
0 710
 
1.7%
Other values (8) 1498
 
3.5%
Latin
ValueCountFrequency (%)
B 49
76.6%
A 7
 
10.9%
D 1
 
1.6%
E 1
 
1.6%
K 1
 
1.6%
H 1
 
1.6%
O 1
 
1.6%
U 1
 
1.6%
S 1
 
1.6%
F 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62695
59.3%
ASCII 43055
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25157
58.4%
1 5035
 
11.7%
5 2133
 
5.0%
2 1759
 
4.1%
7 1727
 
4.0%
3 1482
 
3.4%
4 1222
 
2.8%
6 1196
 
2.8%
9 1072
 
2.5%
0 710
 
1.6%
Other values (18) 1562
 
3.6%
Hangul
ValueCountFrequency (%)
지 5724
 
9.1%
구 3783
 
6.0%
동 3718
 
5.9%
서 3674
 
5.9%
남 3670
 
5.9%
강 3646
 
5.8%
울 3631
 
5.8%
시 3627
 
5.8%
번 3626
 
5.8%
특 3626
 
5.8%
Other values (152) 23970
38.2%

업소전화번호
Text

MISSING 

Distinct220
Distinct (%)5.3%
Missing148
Missing (%)3.4%
Memory size34.0 KiB
2024-05-11T17:04:17.173769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.024344
Min length2

Characters and Unicode

Total characters42002
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

Unique126 ?
Unique (%)3.0%

Sample

1st row02 5488970
2nd row02 5499485
3rd row02 5497513
4th row02 5453336
5th row0205571221
ValueCountFrequency (%)
02 2386
34.0%
0269081234 727
 
10.4%
5312500 372
 
5.3%
517 257
 
3.7%
6642 257
 
3.7%
0234145800 199
 
2.8%
5522233 198
 
2.8%
5444905 177
 
2.5%
4453825 175
 
2.5%
22905735 171
 
2.4%
Other values (237) 2102
29.9%
2024-05-11T17:04:17.673917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7556
18.0%
0 7119
16.9%
5 5331
12.7%
4 4279
10.2%
3562
8.5%
1 3388
8.1%
3 3073
7.3%
6 2289
 
5.4%
9 2081
 
5.0%
8 1977
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38440
91.5%
Space Separator 3562
 
8.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7556
19.7%
0 7119
18.5%
5 5331
13.9%
4 4279
11.1%
1 3388
8.8%
3 3073
8.0%
6 2289
 
6.0%
9 2081
 
5.4%
8 1977
 
5.1%
7 1347
 
3.5%
Space Separator
ValueCountFrequency (%)
3562
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42002
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7556
18.0%
0 7119
16.9%
5 5331
12.7%
4 4279
10.2%
3562
8.5%
1 3388
8.1%
3 3073
7.3%
6 2289
 
5.4%
9 2081
 
5.0%
8 1977
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7556
18.0%
0 7119
16.9%
5 5331
12.7%
4 4279
10.2%
3562
8.5%
1 3388
8.1%
3 3073
7.3%
6 2289
 
5.4%
9 2081
 
5.0%
8 1977
 
4.7%

점검목적
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
2931 
수거
866 
위생점검(전체)
396 
위생점검(부분)
 
144
시설점검
 
1

Length

Max length8
Median length4
Mean length4.098663
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2931
67.6%
수거 866
 
20.0%
위생점검(전체) 396
 
9.1%
위생점검(부분) 144
 
3.3%
시설점검 1
 
< 0.1%

Length

2024-05-11T17:04:17.866017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:18.016420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2931
67.6%
수거 866
 
20.0%
위생점검(전체 396
 
9.1%
위생점검(부분 144
 
3.3%
시설점검 1
 
< 0.1%

점검일자
Real number (ℝ)

Distinct194
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20149974
Minimum20090225
Maximum20240307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:18.179354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090225
5-th percentile20100201
Q120110818
median20150629
Q320180686
95-th percentile20230608
Maximum20240307
Range150082
Interquartile range (IQR)69867.5

Descriptive statistics

Standard deviation40312.308
Coefficient of variation (CV)0.0020006133
Kurtosis-0.86117805
Mean20149974
Median Absolute Deviation (MAD)39475
Skewness0.46312143
Sum8.7410589 × 1010
Variance1.6250821 × 109
MonotonicityNot monotonic
2024-05-11T17:04:18.350623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150722 241
 
5.6%
20100202 199
 
4.6%
20150827 175
 
4.0%
20150629 150
 
3.5%
20120514 140
 
3.2%
20161124 135
 
3.1%
20160721 129
 
3.0%
20211202 111
 
2.6%
20100129 107
 
2.5%
20130613 96
 
2.2%
Other values (184) 2855
65.8%
ValueCountFrequency (%)
20090225 2
 
< 0.1%
20100113 7
 
0.2%
20100126 1
 
< 0.1%
20100127 31
 
0.7%
20100128 41
 
0.9%
20100129 107
2.5%
20100201 53
 
1.2%
20100202 199
4.6%
20100203 43
 
1.0%
20100204 2
 
< 0.1%
ValueCountFrequency (%)
20240307 1
 
< 0.1%
20240305 2
 
< 0.1%
20240205 28
0.6%
20240119 1
 
< 0.1%
20240105 18
0.4%
20231229 21
0.5%
20231129 33
0.8%
20231124 1
 
< 0.1%
20231117 4
 
0.1%
20231115 1
 
< 0.1%

점검구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
2930 
수시
1171 
기타
 
127
일제
 
86
합동
 
24

Length

Max length4
Median length4
Mean length3.3508529
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2930
67.5%
수시 1171
 
27.0%
기타 127
 
2.9%
일제 86
 
2.0%
합동 24
 
0.6%

Length

2024-05-11T17:04:18.519189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:18.666903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2930
67.5%
수시 1171
 
27.0%
기타 127
 
2.9%
일제 86
 
2.0%
합동 24
 
0.6%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

점검결과코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
<NA>
2930 
1
1383 
2
 
25

Length

Max length4
Median length4
Mean length3.0262794
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2930
67.5%
1 1383
31.9%
2 25
 
0.6%

Length

2024-05-11T17:04:18.818223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:18.950361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2930
67.5%
1 1383
31.9%
2 25
 
0.6%

(구)제조유통기한
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing4323
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20122660
Minimum20111014
Maximum20130523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2024-05-11T17:04:19.101817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111014
5-th percentile20111023
Q120115928
median20121007
Q320130319
95-th percentile20130382
Maximum20130523
Range19509
Interquartile range (IQR)14391

Descriptive statistics

Standard deviation8293.4963
Coefficient of variation (CV)0.00041214712
Kurtosis-1.5094328
Mean20122660
Median Absolute Deviation (MAD)9313
Skewness-0.4610158
Sum3.018399 × 108
Variance68782081
MonotonicityNot monotonic
2024-05-11T17:04:19.242692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20130320 2
 
< 0.1%
20130218 1
 
< 0.1%
20130318 1
 
< 0.1%
20130322 1
 
< 0.1%
20111027 1
 
< 0.1%
20111031 1
 
< 0.1%
20111014 1
 
< 0.1%
20111028 1
 
< 0.1%
20121007 1
 
< 0.1%
20120915 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 4323
99.7%
ValueCountFrequency (%)
20111014 1
< 0.1%
20111027 1
< 0.1%
20111028 1
< 0.1%
20111031 1
< 0.1%
20120825 1
< 0.1%
20120913 1
< 0.1%
20120915 1
< 0.1%
20121007 1
< 0.1%
20130117 1
< 0.1%
20130218 1
< 0.1%
ValueCountFrequency (%)
20130523 1
< 0.1%
20130322 1
< 0.1%
20130320 2
< 0.1%
20130318 1
< 0.1%
20130218 1
< 0.1%
20130117 1
< 0.1%
20121007 1
< 0.1%
20120915 1
< 0.1%
20120913 1
< 0.1%
20120825 1
< 0.1%

(구)제조회사주소
Text

MISSING 

Distinct274
Distinct (%)42.8%
Missing3698
Missing (%)85.2%
Memory size34.0 KiB
2024-05-11T17:04:19.639025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length18.071875
Min length6

Characters and Unicode

Total characters11566
Distinct characters238
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

Unique172 ?
Unique (%)26.9%

Sample

1st row서울 강남구 헌릉로 618길 8
2nd row서울 강남구 헌릉로 618길 8
3rd row서울 강남구 헌릉로 618길 8
4th row서울 강남구 헌릉로 618길 8
5th row서울 강남구 헌릉로 618길 8
ValueCountFrequency (%)
서울 151
 
5.1%
경기 147
 
4.9%
충북 102
 
3.4%
충남 77
 
2.6%
음성군 65
 
2.2%
대소면 60
 
2.0%
안양시 56
 
1.9%
강남구 54
 
1.8%
평촌동 50
 
1.7%
동안구 49
 
1.6%
Other values (653) 2172
72.8%
2024-05-11T17:04:20.188186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2343
 
20.3%
1 464
 
4.0%
구 374
 
3.2%
동 368
 
3.2%
2 321
 
2.8%
시 310
 
2.7%
- 282
 
2.4%
서 245
 
2.1%
기 227
 
2.0%
6 226
 
2.0%
Other values (228) 6406
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6672
57.7%
Space Separator 2343
 
20.3%
Decimal Number 2258
 
19.5%
Dash Punctuation 282
 
2.4%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 374
 
5.6%
동 368
 
5.5%
시 310
 
4.6%
서 245
 
3.7%
기 227
 
3.4%
로 210
 
3.1%
남 207
 
3.1%
경 207
 
3.1%
대 191
 
2.9%
충 187
 
2.8%
Other values (211) 4146
62.1%
Decimal Number
ValueCountFrequency (%)
1 464
20.5%
2 321
14.2%
6 226
10.0%
0 222
9.8%
7 210
9.3%
3 188
8.3%
5 187
8.3%
4 173
 
7.7%
8 172
 
7.6%
9 95
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
2343
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6672
57.7%
Common 4892
42.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 374
 
5.6%
동 368
 
5.5%
시 310
 
4.6%
서 245
 
3.7%
기 227
 
3.4%
로 210
 
3.1%
남 207
 
3.1%
경 207
 
3.1%
대 191
 
2.9%
충 187
 
2.8%
Other values (211) 4146
62.1%
Common
ValueCountFrequency (%)
2343
47.9%
1 464
 
9.5%
2 321
 
6.6%
- 282
 
5.8%
6 226
 
4.6%
0 222
 
4.5%
7 210
 
4.3%
3 188
 
3.8%
5 187
 
3.8%
4 173
 
3.5%
Other values (5) 276
 
5.6%
Latin
ValueCountFrequency (%)
T 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6672
57.7%
ASCII 4894
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2343
47.9%
1 464
 
9.5%
2 321
 
6.6%
- 282
 
5.8%
6 226
 
4.6%
0 222
 
4.5%
7 210
 
4.3%
3 188
 
3.8%
5 187
 
3.8%
4 173
 
3.5%
Other values (7) 278
 
5.7%
Hangul
ValueCountFrequency (%)
구 374
 
5.6%
동 368
 
5.5%
시 310
 
4.6%
서 245
 
3.7%
기 227
 
3.4%
로 210
 
3.1%
남 207
 
3.1%
경 207
 
3.1%
대 191
 
2.9%
충 187
 
2.8%
Other values (211) 4146
62.1%

부적합항목
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

기준치부적합내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4338
Missing (%)100.0%
Memory size38.3 KiB

Sample

시군구코드업종코드업종명계획구분코드계획구분명지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드바코드번호어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리구분수거검사구분코드단속지역구분코드수거장소구분코드처리결과수거품처리교부번호폐기일자폐기량(Kg)폐기금액(원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검내용점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용
03220000101일반음식점<NA><NA><NA><NA>123-05-12<NA>마포갈비121000000식육류중육류<NA>쇠고기<NA><NA><NA>201005131300g<NA><NA><NA><NA><NA><NA><NA><NA><NA>1마포갈비국내<NA>120100513<NA><NA><NA><NA><NA><NA><NA><NA>19820105112<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 144번지 1호02 5488970수거20100513수시<NA>1<NA><NA><NA><NA>
13220000101일반음식점<NA><NA><NA><NA>123-05-11<NA>삼미121000000식육류중육류<NA>쇠고기<NA><NA><NA>201005131300g<NA><NA><NA><NA><NA><NA><NA><NA><NA>1삼미갈비국내<NA>120100513<NA><NA><NA><NA><NA><NA><NA><NA>19820105197<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 143번지 10호02 5499485수거20100513수시<NA>1<NA><NA><NA><NA>
23220000101일반음식점<NA><NA><NA><NA>123-06-13<NA>주식회사곰바우121000000식육류중육류<NA>쇠고기<NA><NA><NA>201006071300g<NA><NA><NA><NA><NA><NA><NA><NA><NA>1(주)곰바우국내<NA>120100607<NA><NA><NA><NA><NA><NA><NA><NA>19840105491<NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 76번지 10호02 5497513수거20100607수시<NA>1<NA><NA><NA><NA>
33220000101일반음식점<NA><NA><NA><NA>123-09-01<NA>한우리외식산업(주)121000000식육류중육류<NA>쇠고기<NA><NA><NA>201009271300g<NA><NA><NA><NA><NA><NA><NA><NA><NA>1한우리국내<NA>120100927<NA><NA><NA><NA><NA><NA><NA><NA>19840105376<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 91번지 18호02 5453336수거20100927수시<NA>1<NA><NA><NA><NA>
43220000101일반음식점999<NA>식품접객업소 지도점검<NA>2023-강남-175검사용삼정한식당G0300000300000칼.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)냉장고 손잡이2<NA><NA><NA>20231229<NA><NA><NA>swab 2EA20231229<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220231229<NA><NA><NA><NA><NA><NA><NA><NA>19850105408<NA><NA><NA><NA><NA>서울특별시 강남구 봉은사로 150, (역삼동)서울특별시 강남구 역삼동 604번지 11호0205571221위생점검(전체)20231229수시<NA>1<NA><NA><NA><NA>
53220000101일반음식점999<NA>식품접객업소 지도점검<NA>2023-강남-173검사용삼정한식당G0300000300000칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)칼.도마 및 숟가락, 젓가락, 식기, 찬기 등 음식을 먹을 때 사용하거나 담는 것(사용 중인 것은 제외한다)도마<NA><NA><NA>20231229<NA><NA><NA>swab 2EA20231229<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220231229<NA><NA><NA><NA><NA><NA><NA><NA>19850105408<NA><NA><NA><NA><NA>서울특별시 강남구 봉은사로 150, (역삼동)서울특별시 강남구 역삼동 604번지 11호0205571221위생점검(전체)20231229수시<NA>1<NA><NA><NA><NA>
63220000101일반음식점999<NA>식품접객업소 지도점검<NA>2023-강남-174검사용삼정한식당G0300000300000칼.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)냉장고 손잡이1<NA><NA><NA>20231229<NA><NA><NA>swab 2EA20231229<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220231229<NA><NA><NA><NA><NA><NA><NA><NA>19850105408<NA><NA><NA><NA><NA>서울특별시 강남구 봉은사로 150, (역삼동)서울특별시 강남구 역삼동 604번지 11호0205571221위생점검(전체)20231229수시<NA>1<NA><NA><NA><NA>
73220000101일반음식점999<NA>식품접객업소 지도점검<NA>2023-강남-172검사용삼정한식당G0300000300000칼.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>20231229<NA><NA><NA>swab 2EA20231229<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220231229<NA><NA><NA><NA><NA><NA><NA><NA>19850105408<NA><NA><NA><NA><NA>서울특별시 강남구 봉은사로 150, (역삼동)서울특별시 강남구 역삼동 604번지 11호0205571221위생점검(전체)20231229수시<NA>1<NA><NA><NA><NA>
83220000101일반음식점999<NA>식품접객업소 지도점검<NA>2023-강남-176검사용삼정한식당G0300000300000칼.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)조리대<NA><NA><NA>20231229<NA><NA><NA>swab 2EA20231229<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220231229<NA><NA><NA><NA><NA><NA><NA><NA>19850105408<NA><NA><NA><NA><NA>서울특별시 강남구 봉은사로 150, (역삼동)서울특별시 강남구 역삼동 604번지 11호0205571221위생점검(전체)20231229수시<NA>1<NA><NA><NA><NA>
93220000101일반음식점999<NA>식품접객업소 지도점검<NA>2023-강남-177검사용삼정한식당G0100000100000조리식품 등조리식품 등칠면조<NA><NA><NA>202312291520g<NA>20231229<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220231229<NA><NA><NA><NA><NA><NA><NA><NA>19850105408<NA><NA><NA><NA><NA>서울특별시 강남구 봉은사로 150, (역삼동)서울특별시 강남구 역삼동 604번지 11호0205571221위생점검(전체)20231229수시<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
43283220000134건강기능식품일반판매업<NA><NA><NA>2012년 식품수거검사계획123-6-300기타보움대치816000000다류액상차대추랑<NA><NA>(주)한국인삼공사201206252430ML<NA><NA><NA><NA><NA>실온<NA><NA><NA>(주)한국인삼공사국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20110107227<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 988번지 14호 에스엠타워B102,103,104호02 21853737<NA>20120625<NA><NA><NA><NA>대전시 서구 둔산동 926<NA><NA>
43293220000134건강기능식품일반판매업<NA><NA><NA>2012년 식품수거검사계획123-6-301기타보움대치816000000다류액상차오미자랑<NA><NA>(주)한국인삼공사201206252430ML<NA><NA><NA><NA><NA>실온<NA><NA><NA>(주)한국인삼공사국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20110107227<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 988번지 14호 에스엠타워B102,103,104호02 21853737<NA>20120625<NA><NA><NA><NA>대전시 서구 둔산동 926<NA><NA>
43303220000134건강기능식품일반판매업<NA><NA><NA>2012년 식품수거검사계획123-6-302기타보움대치702000000기능성원료쏘팔메토열매추출물(원료성)헛개나무열매<NA><NA>(주)네추럴에프앤피201206254015ML<NA><NA><NA><NA><NA>실온<NA><NA><NA>(주)네추럴에프앤피국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20110107227<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 988번지 14호 에스엠타워B102,103,104호02 21853737<NA>20120625<NA><NA><NA><NA>충북 청원군 오창읍 송대리 319-11 오창과학단지<NA><NA>
43313220000134건강기능식품일반판매업<NA><NA><NA><NA>123-건기-5검사용씨제이올리브네트웍스(주)코엑스몰점C0130080400000기타가공품기타가공품비포 그린라이트 가르시니아 12플러스<NA><NA>(주)한풍네이처팜20190822499g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150105604<NA><NA><NA><NA><NA>서울특별시 강남구 테헤란로87길 22, 지하1층 Q114호 (삼성동, 한국도심공항터미널)서울특별시 강남구 삼성동 159번지 6호<NA><NA>20190822<NA><NA><NA><NA><NA><NA><NA>
43323220000134건강기능식품일반판매업<NA><NA><NA><NA>123-건기-6검사용씨제이올리브네트웍스(주)코엑스몰점E0202400000000공액리놀레산공액리놀레산콜레로뺄래레드<NA><NA>코스맥스바이오(주)20190822861.6g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150105604<NA><NA><NA><NA><NA>서울특별시 강남구 테헤란로87길 22, 지하1층 Q114호 (삼성동, 한국도심공항터미널)서울특별시 강남구 삼성동 159번지 6호<NA><NA>20190822<NA><NA><NA><NA><NA><NA><NA>
43333220000134건강기능식품일반판매업<NA><NA><NA><NA>123-건기-7검사용도심공항약국E0202500000000가르시니아캄보지아 추출물가르시니아캄보지아 추출물팻번비바<NA><NA>노바렉스201908223135g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20160105788<NA><NA><NA><NA><NA>서울특별시 강남구 테헤란로87길 22, 2층 (삼성동, 한국도심공항터미널)서울특별시 강남구 삼성동 159번지 6호<NA><NA>20190822<NA><NA><NA><NA><NA><NA><NA>
43343220000134건강기능식품일반판매업<NA><NA><NA><NA>123-건기-8검사용도심공항약국E0202500000000가르시니아캄보지아 추출물가르시니아캄보지아 추출물브이디에스<NA><NA>노바렉스201908223141.1g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20160105788<NA><NA><NA><NA><NA>서울특별시 강남구 테헤란로87길 22, 2층 (삼성동, 한국도심공항터미널)서울특별시 강남구 삼성동 159번지 6호<NA><NA>20190822<NA><NA><NA><NA><NA><NA><NA>
43353220000134건강기능식품일반판매업<NA><NA><NA><NA>123-건기-3검사용삐에로쑈핑E0200500000000스피루리나스피루리나MIRACLE SPIRULINA<NA><NA><NA>201908223183.6g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국외미국1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20180106858<NA><NA><NA><NA><NA>서울특별시 강남구 영동대로 513, 코엑스 B1,B2층 H106,H201호 (삼성동)서울특별시 강남구 삼성동 159번지 코엑스60025500<NA>20190822<NA><NA><NA><NA><NA><NA><NA>
43363220000134건강기능식품일반판매업<NA><NA><NA><NA>123-건기-9검사용삐에로쑈핑E0204400000000차전자피식이섬유차전자피식이섬유대장사랑 떠날땐 오렌지맛<NA><NA><NA>20190822455g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20180106858<NA><NA><NA><NA><NA>서울특별시 강남구 영동대로 513, 코엑스 B1,B2층 H106,H201호 (삼성동)서울특별시 강남구 삼성동 159번지 코엑스60025500<NA>20190822<NA><NA><NA><NA><NA><NA><NA>
43373220000134건강기능식품일반판매업<NA><NA><NA><NA>123-건기-10검사용삐에로쑈핑E0204400000000차전자피식이섬유차전자피식이섬유대장사랑 떠날땐 레몬맛<NA><NA>콜마비앤에이치(주)20190822455g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20180106858<NA><NA><NA><NA><NA>서울특별시 강남구 영동대로 513, 코엑스 B1,B2층 H106,H201호 (삼성동)서울특별시 강남구 삼성동 159번지 코엑스60025500<NA>20190822<NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드업종코드업종명계획구분코드지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)유통기한(일자)유통기한(제조일기준)보관상태코드검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과교부번호소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조유통기한(구)제조회사주소# duplicates
03220000114기타식품판매업<NA><NA><NA><NA><NA>(주)지에스리테일논현점209000000면류유탕면류신라면<NA><NA><NA>200904286<NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA><NA><NA>20090105536<NA>서울특별시 강남구 논현동 108번지 0호 논현웰스톤B201호02 21387230<NA>20100129<NA><NA><NA><NA>2
13220000114기타식품판매업<NA><NA><NA><NA><NA>상록플라자(주)216000000인삼제품류기타홍삼제품고려홍삼캔디<NA><NA><NA>200906093<NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA><NA><NA>19990106030<NA>서울특별시 강남구 역삼동 701번지 지하1층02 5602024<NA>20100202<NA><NA><NA><NA>2
23220000114기타식품판매업<NA><NA><NA><NA><NA>씨에스유통(주)수퍼아카데미도곡점201000000과자류비스킷류제크<NA><NA><NA>200905191<NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA><NA><NA>20050106923<NA>서울특별시 강남구 도곡동 467번지 7호 아카데미스위트에이동지하1층102호02 5794747<NA>20100203<NA><NA><NA><NA>2