Overview

Dataset statistics

Number of variables61
Number of observations5078
Missing cells124528
Missing cells (%)40.2%
Duplicate rows27
Duplicate rows (%)0.5%
Total size in memory2.5 MiB
Average record size in memory515.0 B

Variable types

Categorical22
Numeric12
Unsupported7
Text20

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-10686/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
폐기장소 has constant value ""Constant
폐기방법 has constant value ""Constant
Dataset has 27 (0.5%) duplicate rowsDuplicates
지도점검계획 is highly imbalanced (67.8%)Imbalance
수거계획 is highly imbalanced (59.3%)Imbalance
수거사유코드 is highly imbalanced (53.2%)Imbalance
원료명 is highly imbalanced (98.2%)Imbalance
제조일자(롯트) is highly imbalanced (96.7%)Imbalance
어린이기호식품유형 is highly imbalanced (97.9%)Imbalance
검사기관명 is highly imbalanced (55.2%)Imbalance
국가명 is highly imbalanced (89.9%)Imbalance
수거품처리 is highly imbalanced (99.3%)Imbalance
폐기일자 is highly imbalanced (99.1%)Imbalance
폐기량(Kg) is highly imbalanced (99.3%)Imbalance
폐기금액(원) is highly imbalanced (99.3%)Imbalance
계획구분코드 has 3939 (77.6%) missing valuesMissing
계획구분명 has 5078 (100.0%) missing valuesMissing
수거증번호 has 1923 (37.9%) missing valuesMissing
식품군코드 has 163 (3.2%) missing valuesMissing
식품군 has 611 (12.0%) missing valuesMissing
품목명 has 326 (6.4%) missing valuesMissing
음식물명 has 4976 (98.0%) missing valuesMissing
생산업소 has 4697 (92.5%) missing valuesMissing
수거량(정량) has 312 (6.1%) missing valuesMissing
제품규격(정량) has 2235 (44.0%) missing valuesMissing
수거량(자유) has 4766 (93.9%) missing valuesMissing
제조일자(일자) has 3680 (72.5%) missing valuesMissing
유통기한(일자) has 5041 (99.3%) missing valuesMissing
유통기한(제조일기준) has 4978 (98.0%) missing valuesMissing
바코드번호 has 5078 (100.0%) missing valuesMissing
(구)제조사명 has 4955 (97.6%) missing valuesMissing
검사의뢰일자 has 3444 (67.8%) missing valuesMissing
결과회보일자 has 3673 (72.3%) missing valuesMissing
처리구분 has 5078 (100.0%) missing valuesMissing
수거검사구분코드 has 5078 (100.0%) missing valuesMissing
단속지역구분코드 has 5078 (100.0%) missing valuesMissing
수거장소구분코드 has 5078 (100.0%) missing valuesMissing
처리결과 has 5071 (99.9%) missing valuesMissing
폐기장소 has 5077 (> 99.9%) missing valuesMissing
폐기방법 has 5077 (> 99.9%) missing valuesMissing
소재지(도로명) has 2974 (58.6%) missing valuesMissing
업소전화번호 has 839 (16.5%) missing valuesMissing
점검내용 has 5078 (100.0%) missing valuesMissing
(구)제조유통기한 has 5041 (99.3%) missing valuesMissing
(구)제조회사주소 has 5009 (98.6%) missing valuesMissing
부적합항목 has 5067 (99.8%) missing valuesMissing
기준치부적합내용 has 5069 (99.8%) missing valuesMissing
제조일자(일자) is highly skewed (γ1 = -36.32056286)Skewed
계획구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
바코드번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
처리구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거검사구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단속지역구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거장소구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유통기한(제조일기준) has 65 (1.3%) zerosZeros

Reproduction

Analysis started2024-05-03 20:34:53.922229
Analysis finished2024-05-03 20:34:59.854808
Duration5.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
3240000
5078 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 5078
100.0%

Length

2024-05-03T20:35:00.042388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:00.345815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 5078
100.0%

업종코드
Real number (ℝ)

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.30524
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:00.658031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation5.9176424
Coefficient of variation (CV)0.053647882
Kurtosis1.8436409
Mean110.30524
Median Absolute Deviation (MAD)0
Skewness0.4059933
Sum560130
Variance35.018491
MonotonicityIncreasing
2024-05-03T20:35:01.046131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
114 2780
54.7%
101 723
 
14.2%
105 497
 
9.8%
107 380
 
7.5%
106 217
 
4.3%
104 197
 
3.9%
112 116
 
2.3%
134 72
 
1.4%
120 37
 
0.7%
121 22
 
0.4%
Other values (4) 37
 
0.7%
ValueCountFrequency (%)
101 723
 
14.2%
104 197
 
3.9%
105 497
 
9.8%
106 217
 
4.3%
107 380
 
7.5%
109 17
 
0.3%
110 10
 
0.2%
112 116
 
2.3%
113 7
 
0.1%
114 2780
54.7%
ValueCountFrequency (%)
134 72
 
1.4%
122 3
 
0.1%
121 22
 
0.4%
120 37
 
0.7%
114 2780
54.7%
113 7
 
0.1%
112 116
 
2.3%
110 10
 
0.2%
109 17
 
0.3%
107 380
 
7.5%

업종명
Categorical

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
기타식품판매업
2780 
일반음식점
723 
집단급식소
497 
즉석판매제조가공업
380 
식품제조가공업
 
217
Other values (9)
481 

Length

Max length11
Median length7
Mean length6.6770382
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 2780
54.7%
일반음식점 723
 
14.2%
집단급식소 497
 
9.8%
즉석판매제조가공업 380
 
7.5%
식품제조가공업 217
 
4.3%
휴게음식점 197
 
3.9%
식품자동판매기영업 116
 
2.3%
건강기능식품일반판매업 72
 
1.4%
위탁급식영업 37
 
0.7%
제과점영업 22
 
0.4%
Other values (4) 37
 
0.7%

Length

2024-05-03T20:35:01.434030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 2780
54.6%
일반음식점 723
 
14.2%
집단급식소 497
 
9.8%
즉석판매제조가공업 380
 
7.5%
식품제조가공업 217
 
4.3%
휴게음식점 197
 
3.9%
식품자동판매기영업 116
 
2.3%
건강기능식품일반판매업 72
 
1.4%
위탁급식영업 37
 
0.7%
제과점영업 22
 
0.4%
Other values (5) 47
 
0.9%

계획구분코드
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.5%
Missing3939
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean357.12116
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:01.782036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median7
Q3999
95-th percentile999
Maximum999
Range998
Interquartile range (IQR)992

Descriptive statistics

Standard deviation475.18253
Coefficient of variation (CV)1.3305919
Kurtosis-1.6280099
Mean357.12116
Median Absolute Deviation (MAD)5
Skewness0.61220078
Sum406761
Variance225798.44
MonotonicityNot monotonic
2024-05-03T20:35:02.132141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 536
 
10.6%
999 403
 
7.9%
2 177
 
3.5%
3 10
 
0.2%
1 10
 
0.2%
6 3
 
0.1%
(Missing) 3939
77.6%
ValueCountFrequency (%)
1 10
 
0.2%
2 177
 
3.5%
3 10
 
0.2%
6 3
 
0.1%
7 536
10.6%
999 403
7.9%
ValueCountFrequency (%)
999 403
7.9%
7 536
10.6%
6 3
 
0.1%
3 10
 
0.2%
2 177
 
3.5%
1 10
 
0.2%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5078
Missing (%)100.0%
Memory size44.8 KiB

지도점검계획
Categorical

IMBALANCE 

Distinct44
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
3939 
한우수거검사
 
195
주,야간 민원처리
 
125
식품안전 식품수거
 
79
식품안전민원관련점검
 
76
Other values (39)
664 

Length

Max length39
Median length4
Mean length5.7378889
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row주,야간 민원처리
2nd row주,야간 민원처리
3rd row<NA>
4th row주,야간 민원처리
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3939
77.6%
한우수거검사 195
 
3.8%
주,야간 민원처리 125
 
2.5%
식품안전 식품수거 79
 
1.6%
식품안전민원관련점검 76
 
1.5%
민원사항(위생불량 등) 75
 
1.5%
집중관리업체 지도점검 69
 
1.4%
위생지도서비스(구) 63
 
1.2%
식중독 원인 조사 55
 
1.1%
2015한우 유전자 검사 40
 
0.8%
Other values (34) 362
 
7.1%

Length

2024-05-03T20:35:02.573590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3939
62.0%
한우수거검사 195
 
3.1%
지도점검 151
 
2.4%
주,야간 125
 
2.0%
민원처리 125
 
2.0%
식품안전 95
 
1.5%
식중독 81
 
1.3%
식품수거 79
 
1.2%
식품안전민원관련점검 76
 
1.2%
민원사항(위생불량 75
 
1.2%
Other values (75) 1409
 
22.2%

수거계획
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
3659 
유통가공식품수거
407 
식품안전일상식품수거
 
340
2012식품수거
 
283
유통가공식품 수거
 
129
Other values (11)
 
260

Length

Max length22
Median length4
Mean length5.5953131
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row한우(유전자)수거검사
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3659
72.1%
유통가공식품수거 407
 
8.0%
식품안전일상식품수거 340
 
6.7%
2012식품수거 283
 
5.6%
유통가공식품 수거 129
 
2.5%
2013식품일상수거검사 54
 
1.1%
2016년도 유통식품 수거검사(기본검사) 54
 
1.1%
식중독 원인조사 46
 
0.9%
한우(유전자)수거검사 27
 
0.5%
2015년 유통식품 수거검사 계획 24
 
0.5%
Other values (6) 55
 
1.1%

Length

2024-05-03T20:35:03.030921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3659
66.6%
유통가공식품수거 407
 
7.4%
식품안전일상식품수거 340
 
6.2%
2012식품수거 283
 
5.2%
유통가공식품 133
 
2.4%
수거 133
 
2.4%
유통식품 78
 
1.4%
2013식품일상수거검사 54
 
1.0%
2016년도 54
 
1.0%
수거검사(기본검사 54
 
1.0%
Other values (18) 300
 
5.5%

수거증번호
Text

MISSING 

Distinct2550
Distinct (%)80.8%
Missing1923
Missing (%)37.9%
Memory size39.8 KiB
2024-05-03T20:35:03.632016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.896038
Min length1

Characters and Unicode

Total characters18602
Distinct characters88
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

Unique2022 ?
Unique (%)64.1%

Sample

1st row식중독5-1
2nd row식중독5-2
3rd row지도10-10
4th row19-민8-1
5th row위생지도-6
ValueCountFrequency (%)
강동 38
 
1.2%
강동05 11
 
0.3%
11 7
 
0.2%
식중독 6
 
0.2%
건기 6
 
0.2%
10 5
 
0.2%
8-4 4
 
0.1%
8-1 4
 
0.1%
8-3 4
 
0.1%
8-2 4
 
0.1%
Other values (2514) 3150
97.3%
2024-05-03T20:35:04.460884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4217
22.7%
1 2509
13.5%
0 1494
 
8.0%
2 1336
 
7.2%
강 1106
 
5.9%
동 1106
 
5.9%
3 968
 
5.2%
4 803
 
4.3%
7 759
 
4.1%
5 749
 
4.0%
Other values (78) 3555
19.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10215
54.9%
Dash Punctuation 4217
22.7%
Other Letter 4085
 
22.0%
Space Separator 85
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 1106
27.1%
동 1106
27.1%
한 237
 
5.8%
우 237
 
5.8%
식 199
 
4.9%
집 187
 
4.6%
지 111
 
2.7%
도 108
 
2.6%
위 78
 
1.9%
철 46
 
1.1%
Other values (66) 670
16.4%
Decimal Number
ValueCountFrequency (%)
1 2509
24.6%
0 1494
14.6%
2 1336
13.1%
3 968
 
9.5%
4 803
 
7.9%
7 759
 
7.4%
5 749
 
7.3%
8 593
 
5.8%
6 525
 
5.1%
9 479
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 4217
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14517
78.0%
Hangul 4085
 
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 1106
27.1%
동 1106
27.1%
한 237
 
5.8%
우 237
 
5.8%
식 199
 
4.9%
집 187
 
4.6%
지 111
 
2.7%
도 108
 
2.6%
위 78
 
1.9%
철 46
 
1.1%
Other values (66) 670
16.4%
Common
ValueCountFrequency (%)
- 4217
29.0%
1 2509
17.3%
0 1494
 
10.3%
2 1336
 
9.2%
3 968
 
6.7%
4 803
 
5.5%
7 759
 
5.2%
5 749
 
5.2%
8 593
 
4.1%
6 525
 
3.6%
Other values (2) 564
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14517
78.0%
Hangul 4085
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4217
29.0%
1 2509
17.3%
0 1494
 
10.3%
2 1336
 
9.2%
3 968
 
6.7%
4 803
 
5.5%
7 759
 
5.2%
5 749
 
5.2%
8 593
 
4.1%
6 525
 
3.6%
Other values (2) 564
 
3.9%
Hangul
ValueCountFrequency (%)
강 1106
27.1%
동 1106
27.1%
한 237
 
5.8%
우 237
 
5.8%
식 199
 
4.9%
집 187
 
4.6%
지 111
 
2.7%
도 108
 
2.6%
위 78
 
1.9%
철 46
 
1.1%
Other values (66) 670
16.4%

수거사유코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
검사용
2828 
<NA>
2186 
기타
 
46
압류
 
10
증거용
 
8

Length

Max length4
Median length3
Mean length3.4194565
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 2828
55.7%
<NA> 2186
43.0%
기타 46
 
0.9%
압류 10
 
0.2%
증거용 8
 
0.2%

Length

2024-05-03T20:35:04.754195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:05.103210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 2828
55.7%
na 2186
43.0%
기타 46
 
0.9%
압류 10
 
0.2%
증거용 8
 
0.2%

업소명
Text

Distinct773
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2024-05-03T20:35:05.600569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length8.3198109
Min length1

Characters and Unicode

Total characters42248
Distinct characters513
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique368 ?
Unique (%)7.2%

Sample

1st row해남식당
2nd row해남식당
3rd row한신가
4th row(주)이연에프엔씨지점 한촌
5th row윤서방한우정육점
ValueCountFrequency (%)
이천일아울렛천호점 449
 
7.7%
삼성테스코(주)홈플러스강동점 238
 
4.1%
주)이마트천호점 190
 
3.3%
농협하나로마트성내점 168
 
2.9%
홈플러스(주 166
 
2.8%
주)신세계이마트천호점 164
 
2.8%
주)신세계이마트명일점 148
 
2.5%
럭키슈퍼마켓 113
 
1.9%
주)지에스리테일둔촌점 110
 
1.9%
태방마트 99
 
1.7%
Other values (852) 3982
68.3%
2024-05-03T20:35:06.294039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2232
 
5.3%
마 1726
 
4.1%
주 1689
 
4.0%
( 1678
 
4.0%
) 1678
 
4.0%
이 1525
 
3.6%
트 1461
 
3.5%
천 1382
 
3.3%
일 1151
 
2.7%
스 1069
 
2.5%
Other values (503) 26657
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37704
89.2%
Open Punctuation 1678
 
4.0%
Close Punctuation 1678
 
4.0%
Space Separator 749
 
1.8%
Uppercase Letter 337
 
0.8%
Decimal Number 37
 
0.1%
Other Punctuation 26
 
0.1%
Dash Punctuation 23
 
0.1%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2232
 
5.9%
마 1726
 
4.6%
주 1689
 
4.5%
이 1525
 
4.0%
트 1461
 
3.9%
천 1382
 
3.7%
일 1151
 
3.1%
스 1069
 
2.8%
호 896
 
2.4%
성 692
 
1.8%
Other values (454) 23881
63.3%
Uppercase Letter
ValueCountFrequency (%)
K 64
19.0%
S 54
16.0%
D 38
11.3%
I 31
9.2%
F 23
 
6.8%
O 20
 
5.9%
C 20
 
5.9%
E 17
 
5.0%
T 14
 
4.2%
L 10
 
3.0%
Other values (11) 46
13.6%
Decimal Number
ValueCountFrequency (%)
5 9
24.3%
0 7
18.9%
2 7
18.9%
8 5
13.5%
3 3
 
8.1%
6 2
 
5.4%
9 2
 
5.4%
4 1
 
2.7%
1 1
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
25.0%
e 4
25.0%
d 2
12.5%
p 1
 
6.2%
m 1
 
6.2%
a 1
 
6.2%
h 1
 
6.2%
c 1
 
6.2%
i 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 13
50.0%
. 7
26.9%
/ 3
 
11.5%
; 1
 
3.8%
, 1
 
3.8%
! 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 1678
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1678
100.0%
Space Separator
ValueCountFrequency (%)
749
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37703
89.2%
Common 4191
 
9.9%
Latin 353
 
0.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2232
 
5.9%
마 1726
 
4.6%
주 1689
 
4.5%
이 1525
 
4.0%
트 1461
 
3.9%
천 1382
 
3.7%
일 1151
 
3.1%
스 1069
 
2.8%
호 896
 
2.4%
성 692
 
1.8%
Other values (453) 23880
63.3%
Latin
ValueCountFrequency (%)
K 64
18.1%
S 54
15.3%
D 38
10.8%
I 31
8.8%
F 23
 
6.5%
O 20
 
5.7%
C 20
 
5.7%
E 17
 
4.8%
T 14
 
4.0%
L 10
 
2.8%
Other values (20) 62
17.6%
Common
ValueCountFrequency (%)
( 1678
40.0%
) 1678
40.0%
749
17.9%
- 23
 
0.5%
& 13
 
0.3%
5 9
 
0.2%
0 7
 
0.2%
2 7
 
0.2%
. 7
 
0.2%
8 5
 
0.1%
Other values (9) 15
 
0.4%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37703
89.2%
ASCII 4544
 
10.8%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2232
 
5.9%
마 1726
 
4.6%
주 1689
 
4.5%
이 1525
 
4.0%
트 1461
 
3.9%
천 1382
 
3.7%
일 1151
 
3.1%
스 1069
 
2.8%
호 896
 
2.4%
성 692
 
1.8%
Other values (453) 23880
63.3%
ASCII
ValueCountFrequency (%)
( 1678
36.9%
) 1678
36.9%
749
16.5%
K 64
 
1.4%
S 54
 
1.2%
D 38
 
0.8%
I 31
 
0.7%
- 23
 
0.5%
F 23
 
0.5%
O 20
 
0.4%
Other values (39) 186
 
4.1%
CJK
ValueCountFrequency (%)
孝 1
100.0%

식품군코드
Text

MISSING 

Distinct330
Distinct (%)6.7%
Missing163
Missing (%)3.2%
Memory size39.8 KiB
2024-05-03T20:35:06.828964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length10.545677
Min length1

Characters and Unicode

Total characters51832
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

Unique94 ?
Unique (%)1.9%

Sample

1st rowG0100000100000
2nd rowG0200000100000
3rd row121000000
4th rowG0100000100000
5th row121000000
ValueCountFrequency (%)
g0100000100000 444
 
9.7%
801000000 223
 
4.8%
829000000 207
 
4.5%
201000000 169
 
3.7%
802000000 146
 
3.2%
211000000 129
 
2.8%
830000000 128
 
2.8%
600000000 124
 
2.7%
203000000 113
 
2.5%
815000000 108
 
2.3%
Other values (318) 2807
61.0%
2024-05-03T20:35:07.581689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35554
68.6%
1 4675
 
9.0%
2485
 
4.8%
2 2460
 
4.7%
8 1907
 
3.7%
3 1059
 
2.0%
C 827
 
1.6%
G 703
 
1.4%
9 507
 
1.0%
4 485
 
0.9%
Other values (10) 1170
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47598
91.8%
Space Separator 2485
 
4.8%
Uppercase Letter 1749
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35554
74.7%
1 4675
 
9.8%
2 2460
 
5.2%
8 1907
 
4.0%
3 1059
 
2.2%
9 507
 
1.1%
4 485
 
1.0%
5 342
 
0.7%
6 333
 
0.7%
7 276
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 827
47.3%
G 703
40.2%
X 91
 
5.2%
E 50
 
2.9%
B 27
 
1.5%
F 25
 
1.4%
A 16
 
0.9%
Z 8
 
0.5%
H 2
 
0.1%
Space Separator
ValueCountFrequency (%)
2485
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50083
96.6%
Latin 1749
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35554
71.0%
1 4675
 
9.3%
2485
 
5.0%
2 2460
 
4.9%
8 1907
 
3.8%
3 1059
 
2.1%
9 507
 
1.0%
4 485
 
1.0%
5 342
 
0.7%
6 333
 
0.7%
Latin
ValueCountFrequency (%)
C 827
47.3%
G 703
40.2%
X 91
 
5.2%
E 50
 
2.9%
B 27
 
1.5%
F 25
 
1.4%
A 16
 
0.9%
Z 8
 
0.5%
H 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51832
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35554
68.6%
1 4675
 
9.0%
2485
 
4.8%
2 2460
 
4.7%
8 1907
 
3.7%
3 1059
 
2.0%
C 827
 
1.6%
G 703
 
1.4%
9 507
 
1.0%
4 485
 
0.9%
Other values (10) 1170
 
2.3%

식품군
Text

MISSING 

Distinct263
Distinct (%)5.9%
Missing611
Missing (%)12.0%
Memory size39.8 KiB
2024-05-03T20:35:08.376647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length20
Mean length5.7051713
Min length1

Characters and Unicode

Total characters25485
Distinct characters296
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)1.6%

Sample

1st row조리식품 등
2nd row접객용 음용수
3rd row식육류중육류
4th row조리식품 등
5th row식육류중육류
ValueCountFrequency (%)
등 589
 
9.5%
조리식품 492
 
7.9%
과자류 395
 
6.3%
기타식품류 286
 
4.6%
음료류 197
 
3.2%
다류 154
 
2.5%
빵또는떡류 146
 
2.3%
면류 131
 
2.1%
규격외일반가공식품 130
 
2.1%
조미식품 130
 
2.1%
Other values (278) 3580
57.5%
2024-05-03T20:35:09.193102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 2573
 
10.1%
식 1784
 
7.0%
1763
 
6.9%
품 1756
 
6.9%
조 794
 
3.1%
기 751
 
2.9%
등 589
 
2.3%
리 553
 
2.2%
가 551
 
2.2%
과 536
 
2.1%
Other values (286) 13835
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23107
90.7%
Space Separator 1763
 
6.9%
Other Punctuation 362
 
1.4%
Close Punctuation 110
 
0.4%
Open Punctuation 110
 
0.4%
Uppercase Letter 23
 
0.1%
Decimal Number 7
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 2573
 
11.1%
식 1784
 
7.7%
품 1756
 
7.6%
조 794
 
3.4%
기 751
 
3.3%
등 589
 
2.5%
리 553
 
2.4%
가 551
 
2.4%
과 536
 
2.3%
자 491
 
2.1%
Other values (267) 12729
55.1%
Uppercase Letter
ValueCountFrequency (%)
C 7
30.4%
D 6
26.1%
E 3
13.0%
A 2
 
8.7%
B 2
 
8.7%
Q 1
 
4.3%
P 1
 
4.3%
H 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 231
63.8%
. 112
30.9%
? 15
 
4.1%
/ 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
3 3
42.9%
0 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1763
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23107
90.7%
Common 2355
 
9.2%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 2573
 
11.1%
식 1784
 
7.7%
품 1756
 
7.6%
조 794
 
3.4%
기 751
 
3.3%
등 589
 
2.5%
리 553
 
2.4%
가 551
 
2.4%
과 536
 
2.3%
자 491
 
2.1%
Other values (267) 12729
55.1%
Common
ValueCountFrequency (%)
1763
74.9%
, 231
 
9.8%
. 112
 
4.8%
) 110
 
4.7%
( 110
 
4.7%
? 15
 
0.6%
/ 4
 
0.2%
1 3
 
0.1%
- 3
 
0.1%
3 3
 
0.1%
Latin
ValueCountFrequency (%)
C 7
30.4%
D 6
26.1%
E 3
13.0%
A 2
 
8.7%
B 2
 
8.7%
Q 1
 
4.3%
P 1
 
4.3%
H 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23107
90.7%
ASCII 2378
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 2573
 
11.1%
식 1784
 
7.7%
품 1756
 
7.6%
조 794
 
3.4%
기 751
 
3.3%
등 589
 
2.5%
리 553
 
2.4%
가 551
 
2.4%
과 536
 
2.3%
자 491
 
2.1%
Other values (267) 12729
55.1%
ASCII
ValueCountFrequency (%)
1763
74.1%
, 231
 
9.7%
. 112
 
4.7%
) 110
 
4.6%
( 110
 
4.6%
? 15
 
0.6%
C 7
 
0.3%
D 6
 
0.3%
/ 4
 
0.2%
E 3
 
0.1%
Other values (9) 17
 
0.7%

품목명
Text

MISSING 

Distinct473
Distinct (%)10.0%
Missing326
Missing (%)6.4%
Memory size39.8 KiB
2024-05-03T20:35:09.709648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length30
Mean length6.1367845
Min length1

Characters and Unicode

Total characters29162
Distinct characters379
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)3.6%

Sample

1st row조리식품 등
2nd row접객용 음용수
3rd row소고기
4th row조리식품 등
5th row수족관물
ValueCountFrequency (%)
등 814
 
11.1%
조리식품 703
 
9.6%
과자 161
 
2.2%
중인 124
 
1.7%
제외한다 122
 
1.7%
것은 122
 
1.7%
떡류 120
 
1.6%
및 112
 
1.5%
때 111
 
1.5%
것(사용 111
 
1.5%
Other values (495) 4823
65.9%
2024-05-03T20:35:10.408274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2571
 
8.8%
품 1352
 
4.6%
식 1267
 
4.3%
류 1170
 
4.0%
조 1085
 
3.7%
리 918
 
3.1%
기 917
 
3.1%
등 832
 
2.9%
가 694
 
2.4%
과 537
 
1.8%
Other values (369) 17819
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25198
86.4%
Space Separator 2571
 
8.8%
Other Punctuation 561
 
1.9%
Close Punctuation 354
 
1.2%
Open Punctuation 354
 
1.2%
Uppercase Letter 48
 
0.2%
Dash Punctuation 31
 
0.1%
Decimal Number 27
 
0.1%
Lowercase Letter 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 1352
 
5.4%
식 1267
 
5.0%
류 1170
 
4.6%
조 1085
 
4.3%
리 918
 
3.6%
기 917
 
3.6%
등 832
 
3.3%
가 694
 
2.8%
과 537
 
2.1%
용 511
 
2.0%
Other values (333) 15915
63.2%
Uppercase Letter
ValueCountFrequency (%)
C 17
35.4%
A 11
22.9%
D 7
14.6%
L 5
 
10.4%
B 2
 
4.2%
E 2
 
4.2%
P 2
 
4.2%
Q 1
 
2.1%
H 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
c 4
22.2%
y 3
16.7%
l 3
16.7%
i 2
11.1%
r 2
11.1%
d 1
 
5.6%
t 1
 
5.6%
a 1
 
5.6%
o 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 343
61.1%
. 197
35.1%
? 7
 
1.2%
' 5
 
0.9%
/ 3
 
0.5%
′ 3
 
0.5%
% 2
 
0.4%
: 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
5 9
33.3%
1 7
25.9%
3 5
18.5%
4 3
 
11.1%
0 2
 
7.4%
6 1
 
3.7%
Space Separator
ValueCountFrequency (%)
2571
100.0%
Close Punctuation
ValueCountFrequency (%)
) 354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25198
86.4%
Common 3898
 
13.4%
Latin 66
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 1352
 
5.4%
식 1267
 
5.0%
류 1170
 
4.6%
조 1085
 
4.3%
리 918
 
3.6%
기 917
 
3.6%
등 832
 
3.3%
가 694
 
2.8%
과 537
 
2.1%
용 511
 
2.0%
Other values (333) 15915
63.2%
Common
ValueCountFrequency (%)
2571
66.0%
) 354
 
9.1%
( 354
 
9.1%
, 343
 
8.8%
. 197
 
5.1%
- 31
 
0.8%
5 9
 
0.2%
1 7
 
0.2%
? 7
 
0.2%
3 5
 
0.1%
Other values (8) 20
 
0.5%
Latin
ValueCountFrequency (%)
C 17
25.8%
A 11
16.7%
D 7
10.6%
L 5
 
7.6%
c 4
 
6.1%
y 3
 
4.5%
l 3
 
4.5%
B 2
 
3.0%
E 2
 
3.0%
i 2
 
3.0%
Other values (8) 10
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25198
86.4%
ASCII 3961
 
13.6%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2571
64.9%
) 354
 
8.9%
( 354
 
8.9%
, 343
 
8.7%
. 197
 
5.0%
- 31
 
0.8%
C 17
 
0.4%
A 11
 
0.3%
5 9
 
0.2%
1 7
 
0.2%
Other values (25) 67
 
1.7%
Hangul
ValueCountFrequency (%)
품 1352
 
5.4%
식 1267
 
5.0%
류 1170
 
4.6%
조 1085
 
4.3%
리 918
 
3.6%
기 917
 
3.6%
등 832
 
3.3%
가 694
 
2.8%
과 537
 
2.1%
용 511
 
2.0%
Other values (333) 15915
63.2%
Punctuation
ValueCountFrequency (%)
′ 3
100.0%

제품명
Text

Distinct3553
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2024-05-03T20:35:11.041259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length40
Mean length6.0675463
Min length1

Characters and Unicode

Total characters30811
Distinct characters905
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3031 ?
Unique (%)59.7%

Sample

1st row해물탕
2nd row음용수
3rd row등심
4th row매운갈비찜
5th row쇠고기/식육
ValueCountFrequency (%)
한우 111
 
1.7%
쇠고기 77
 
1.2%
등심 68
 
1.0%
자판기커피 67
 
1.0%
두부 50
 
0.8%
김밥 49
 
0.8%
음용수 39
 
0.6%
도마 39
 
0.6%
참기름 37
 
0.6%
칼 36
 
0.6%
Other values (4057) 5913
91.2%
2024-05-03T20:35:12.159631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1415
 
4.6%
스 631
 
2.0%
이 625
 
2.0%
기 591
 
1.9%
리 536
 
1.7%
수 372
 
1.2%
고 369
 
1.2%
) 335
 
1.1%
( 335
 
1.1%
마 302
 
1.0%
Other values (895) 25300
82.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26688
86.6%
Space Separator 1415
 
4.6%
Uppercase Letter 1036
 
3.4%
Decimal Number 611
 
2.0%
Close Punctuation 336
 
1.1%
Open Punctuation 336
 
1.1%
Other Punctuation 193
 
0.6%
Lowercase Letter 172
 
0.6%
Dash Punctuation 15
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 631
 
2.4%
이 625
 
2.3%
기 591
 
2.2%
리 536
 
2.0%
수 372
 
1.4%
고 369
 
1.4%
마 302
 
1.1%
우 282
 
1.1%
치 277
 
1.0%
아 270
 
1.0%
Other values (815) 22433
84.1%
Uppercase Letter
ValueCountFrequency (%)
E 106
 
10.2%
R 86
 
8.3%
A 84
 
8.1%
I 78
 
7.5%
O 71
 
6.9%
C 68
 
6.6%
L 57
 
5.5%
N 56
 
5.4%
T 52
 
5.0%
S 51
 
4.9%
Other values (16) 327
31.6%
Lowercase Letter
ValueCountFrequency (%)
a 21
12.2%
m 16
 
9.3%
s 15
 
8.7%
w 14
 
8.1%
r 11
 
6.4%
p 11
 
6.4%
b 10
 
5.8%
e 10
 
5.8%
l 9
 
5.2%
o 8
 
4.7%
Other values (14) 47
27.3%
Decimal Number
ValueCountFrequency (%)
1 136
22.3%
2 102
16.7%
0 92
15.1%
3 57
9.3%
7 50
 
8.2%
5 50
 
8.2%
4 47
 
7.7%
6 37
 
6.1%
8 22
 
3.6%
9 18
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 121
62.7%
, 20
 
10.4%
% 15
 
7.8%
& 12
 
6.2%
? 9
 
4.7%
. 7
 
3.6%
; 5
 
2.6%
？ 2
 
1.0%
! 1
 
0.5%
' 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 335
99.7%
」 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 335
99.7%
「 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 5
71.4%
~ 2
 
28.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
1415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26681
86.6%
Common 2913
 
9.5%
Latin 1210
 
3.9%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 631
 
2.4%
이 625
 
2.3%
기 591
 
2.2%
리 536
 
2.0%
수 372
 
1.4%
고 369
 
1.4%
마 302
 
1.1%
우 282
 
1.1%
치 277
 
1.0%
아 270
 
1.0%
Other values (810) 22426
84.1%
Latin
ValueCountFrequency (%)
E 106
 
8.8%
R 86
 
7.1%
A 84
 
6.9%
I 78
 
6.4%
O 71
 
5.9%
C 68
 
5.6%
L 57
 
4.7%
N 56
 
4.6%
T 52
 
4.3%
S 51
 
4.2%
Other values (42) 501
41.4%
Common
ValueCountFrequency (%)
1415
48.6%
) 335
 
11.5%
( 335
 
11.5%
1 136
 
4.7%
/ 121
 
4.2%
2 102
 
3.5%
0 92
 
3.2%
3 57
 
2.0%
7 50
 
1.7%
5 50
 
1.7%
Other values (18) 220
 
7.6%
Han
ValueCountFrequency (%)
生 2
28.6%
眞 2
28.6%
粧 1
14.3%
元 1
14.3%
愛 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26680
86.6%
ASCII 4117
 
13.4%
CJK 7
 
< 0.1%
None 4
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1415
34.4%
) 335
 
8.1%
( 335
 
8.1%
1 136
 
3.3%
/ 121
 
2.9%
E 106
 
2.6%
2 102
 
2.5%
0 92
 
2.2%
R 86
 
2.1%
A 84
 
2.0%
Other values (65) 1305
31.7%
Hangul
ValueCountFrequency (%)
스 631
 
2.4%
이 625
 
2.3%
기 591
 
2.2%
리 536
 
2.0%
수 372
 
1.4%
고 369
 
1.4%
마 302
 
1.1%
우 282
 
1.1%
치 277
 
1.0%
아 270
 
1.0%
Other values (809) 22425
84.1%
CJK
ValueCountFrequency (%)
生 2
28.6%
眞 2
28.6%
粧 1
14.3%
元 1
14.3%
愛 1
14.3%
None
ValueCountFrequency (%)
？ 2
50.0%
」 1
25.0%
「 1
25.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

음식물명
Text

MISSING 

Distinct51
Distinct (%)50.0%
Missing4976
Missing (%)98.0%
Memory size39.8 KiB
2024-05-03T20:35:12.596348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8.5
Mean length3.0490196
Min length1

Characters and Unicode

Total characters311
Distinct characters122
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

Unique37 ?
Unique (%)36.3%

Sample

1st row슬러쉬
2nd row식혜
3rd row삼각김밥
4th row물
5th row물
ValueCountFrequency (%)
물 18
 
17.0%
김밥 13
 
12.3%
슬러쉬 5
 
4.7%
김치 5
 
4.7%
밀크커피 3
 
2.8%
밥 3
 
2.8%
도마 3
 
2.8%
칼 3
 
2.8%
국 2
 
1.9%
접객용음용수 2
 
1.9%
Other values (44) 49
46.2%
2024-05-03T20:35:13.473444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
밥 22
 
7.1%
김 21
 
6.8%
물 20
 
6.4%
무 9
 
2.9%
치 7
 
2.3%
슬 5
 
1.6%
러 5
 
1.6%
쉬 5
 
1.6%
용 5
 
1.6%
침 5
 
1.6%
Other values (112) 207
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
97.7%
Space Separator 4
 
1.3%
Decimal Number 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밥 22
 
7.2%
김 21
 
6.9%
물 20
 
6.6%
무 9
 
3.0%
치 7
 
2.3%
슬 5
 
1.6%
러 5
 
1.6%
쉬 5
 
1.6%
용 5
 
1.6%
침 5
 
1.6%
Other values (108) 200
65.8%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
97.7%
Common 7
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밥 22
 
7.2%
김 21
 
6.9%
물 20
 
6.6%
무 9
 
3.0%
치 7
 
2.3%
슬 5
 
1.6%
러 5
 
1.6%
쉬 5
 
1.6%
용 5
 
1.6%
침 5
 
1.6%
Other values (108) 200
65.8%
Common
ValueCountFrequency (%)
4
57.1%
3 1
 
14.3%
2 1
 
14.3%
/ 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
97.7%
ASCII 7
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
밥 22
 
7.2%
김 21
 
6.9%
물 20
 
6.6%
무 9
 
3.0%
치 7
 
2.3%
슬 5
 
1.6%
러 5
 
1.6%
쉬 5
 
1.6%
용 5
 
1.6%
침 5
 
1.6%
Other values (108) 200
65.8%
ASCII
ValueCountFrequency (%)
4
57.1%
3 1
 
14.3%
2 1
 
14.3%
/ 1
 
14.3%

원료명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
5055 
콩
 
12
쇠고기
 
5
닭고기
 
3
회, 야채
 
1
Other values (2)
 
2

Length

Max length5
Median length4
Mean length3.9909413
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5055
99.5%
콩 12
 
0.2%
쇠고기 5
 
0.1%
닭고기 3
 
0.1%
회, 야채 1
 
< 0.1%
물 1
 
< 0.1%
돼지고기 1
 
< 0.1%

Length

2024-05-03T20:35:13.745871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:14.022317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5055
99.5%
콩 12
 
0.2%
쇠고기 5
 
0.1%
닭고기 3
 
0.1%
회 1
 
< 0.1%
야채 1
 
< 0.1%
물 1
 
< 0.1%
돼지고기 1
 
< 0.1%

생산업소
Text

MISSING 

Distinct302
Distinct (%)79.3%
Missing4697
Missing (%)92.5%
Memory size39.8 KiB
2024-05-03T20:35:14.542914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length6.4566929
Min length1

Characters and Unicode

Total characters2460
Distinct characters357
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)67.2%

Sample

1st row한신가
2nd row큰마루
3rd row대관령두부마을
4th rowok목장
5th row유경정육식당
ValueCountFrequency (%)
초원의집 12
 
2.8%
오복떡집 6
 
1.4%
삼립식품 5
 
1.1%
화평식품 5
 
1.1%
요리왕 5
 
1.1%
한일종합농산 4
 
0.9%
co 3
 
0.7%
food 3
 
0.7%
북부농업협동조합 3
 
0.7%
대우식품 3
 
0.7%
Other values (338) 386
88.7%
2024-05-03T20:35:15.499130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 113
 
4.6%
품 101
 
4.1%
주 86
 
3.5%
) 71
 
2.9%
( 69
 
2.8%
54
 
2.2%
한 37
 
1.5%
리 34
 
1.4%
원 32
 
1.3%
동 29
 
1.2%
Other values (347) 1834
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1853
75.3%
Lowercase Letter 221
 
9.0%
Uppercase Letter 164
 
6.7%
Close Punctuation 71
 
2.9%
Open Punctuation 69
 
2.8%
Space Separator 54
 
2.2%
Other Punctuation 16
 
0.7%
Dash Punctuation 8
 
0.3%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 113
 
6.1%
품 101
 
5.5%
주 86
 
4.6%
한 37
 
2.0%
리 34
 
1.8%
원 32
 
1.7%
동 29
 
1.6%
제 26
 
1.4%
성 25
 
1.3%
사 25
 
1.3%
Other values (292) 1345
72.6%
Uppercase Letter
ValueCountFrequency (%)
A 24
14.6%
N 16
 
9.8%
O 16
 
9.8%
I 13
 
7.9%
R 12
 
7.3%
P 8
 
4.9%
T 8
 
4.9%
B 8
 
4.9%
D 7
 
4.3%
S 7
 
4.3%
Other values (14) 45
27.4%
Lowercase Letter
ValueCountFrequency (%)
o 25
 
11.3%
a 24
 
10.9%
i 17
 
7.7%
u 15
 
6.8%
n 15
 
6.8%
m 14
 
6.3%
r 14
 
6.3%
t 12
 
5.4%
s 10
 
4.5%
e 10
 
4.5%
Other values (10) 65
29.4%
Other Punctuation
ValueCountFrequency (%)
. 10
62.5%
; 3
 
18.8%
& 2
 
12.5%
/ 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
1 1
25.0%
2 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1853
75.3%
Latin 385
 
15.7%
Common 222
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 113
 
6.1%
품 101
 
5.5%
주 86
 
4.6%
한 37
 
2.0%
리 34
 
1.8%
원 32
 
1.7%
동 29
 
1.6%
제 26
 
1.4%
성 25
 
1.3%
사 25
 
1.3%
Other values (292) 1345
72.6%
Latin
ValueCountFrequency (%)
o 25
 
6.5%
a 24
 
6.2%
A 24
 
6.2%
i 17
 
4.4%
N 16
 
4.2%
O 16
 
4.2%
u 15
 
3.9%
n 15
 
3.9%
m 14
 
3.6%
r 14
 
3.6%
Other values (34) 205
53.2%
Common
ValueCountFrequency (%)
) 71
32.0%
( 69
31.1%
54
24.3%
. 10
 
4.5%
- 8
 
3.6%
; 3
 
1.4%
& 2
 
0.9%
9 2
 
0.9%
1 1
 
0.5%
/ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1852
75.3%
ASCII 607
 
24.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 113
 
6.1%
품 101
 
5.5%
주 86
 
4.6%
한 37
 
2.0%
리 34
 
1.8%
원 32
 
1.7%
동 29
 
1.6%
제 26
 
1.4%
성 25
 
1.3%
사 25
 
1.3%
Other values (291) 1344
72.6%
ASCII
ValueCountFrequency (%)
) 71
 
11.7%
( 69
 
11.4%
54
 
8.9%
o 25
 
4.1%
a 24
 
4.0%
A 24
 
4.0%
i 17
 
2.8%
N 16
 
2.6%
O 16
 
2.6%
u 15
 
2.5%
Other values (45) 276
45.5%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
100.0%

수거일자
Real number (ℝ)

Distinct401
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20131863
Minimum20070718
Maximum20240305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:15.899279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070718
5-th percentile20071113
Q120091013
median20120817
Q320170830
95-th percentile20210412
Maximum20240305
Range169587
Interquartile range (IQR)79817

Descriptive statistics

Standard deviation44267.404
Coefficient of variation (CV)0.0021988727
Kurtosis-0.90361278
Mean20131863
Median Absolute Deviation (MAD)39613
Skewness0.44214907
Sum1.022296 × 1011
Variance1.959603 × 109
MonotonicityNot monotonic
2024-05-03T20:35:16.338798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081204 105
 
2.1%
20081015 102
 
2.0%
20091013 95
 
1.9%
20071113 87
 
1.7%
20120313 69
 
1.4%
20080715 67
 
1.3%
20080923 62
 
1.2%
20090728 61
 
1.2%
20071011 60
 
1.2%
20070911 59
 
1.2%
Other values (391) 4311
84.9%
ValueCountFrequency (%)
20070718 15
 
0.3%
20070820 1
 
< 0.1%
20070903 5
 
0.1%
20070907 19
 
0.4%
20070911 59
1.2%
20070912 17
 
0.3%
20071011 60
1.2%
20071015 4
 
0.1%
20071017 13
 
0.3%
20071113 87
1.7%
ValueCountFrequency (%)
20240305 22
0.4%
20240227 4
 
0.1%
20240123 1
 
< 0.1%
20231226 29
0.6%
20231214 1
 
< 0.1%
20231212 25
0.5%
20231129 5
 
0.1%
20231116 1
 
< 0.1%
20231019 1
 
< 0.1%
20231018 2
 
< 0.1%

수거량(정량)
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)1.3%
Missing312
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean8.5032732
Minimum0
Maximum1000
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:16.789195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile10
Maximum1000
Range1000
Interquartile range (IQR)3

Descriptive statistics

Standard deviation54.892912
Coefficient of variation (CV)6.4555037
Kurtosis183.49399
Mean8.5032732
Median Absolute Deviation (MAD)1
Skewness12.884039
Sum40526.6
Variance3013.2317
MonotonicityNot monotonic
2024-05-03T20:35:17.221389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 1853
36.5%
3.0 1023
20.1%
2.0 551
 
10.9%
6.0 490
 
9.6%
4.0 160
 
3.2%
7.0 138
 
2.7%
10.0 125
 
2.5%
5.0 123
 
2.4%
8.0 107
 
2.1%
9.0 35
 
0.7%
Other values (52) 161
 
3.2%
(Missing) 312
 
6.1%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
1.0 1853
36.5%
2.0 551
 
10.9%
3.0 1023
20.1%
4.0 160
 
3.2%
5.0 123
 
2.4%
6.0 490
 
9.6%
7.0 138
 
2.7%
8.0 107
 
2.1%
9.0 35
 
0.7%
ValueCountFrequency (%)
1000.0 4
0.1%
910.0 1
 
< 0.1%
810.0 2
 
< 0.1%
780.0 1
 
< 0.1%
675.0 4
0.1%
650.0 6
0.1%
600.0 1
 
< 0.1%
500.0 5
0.1%
400.0 1
 
< 0.1%
366.0 1
 
< 0.1%

제품규격(정량)
Text

MISSING 

Distinct325
Distinct (%)11.4%
Missing2235
Missing (%)44.0%
Memory size39.8 KiB
2024-05-03T20:35:17.726053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.7791066
Min length1

Characters and Unicode

Total characters7901
Distinct characters31
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)5.9%

Sample

1st row600
2nd row1
3rd row100
4th row100
5th row300g
ValueCountFrequency (%)
100 376
 
13.2%
1 261
 
9.2%
600 185
 
6.5%
200 179
 
6.3%
300 173
 
6.1%
500 142
 
5.0%
150 136
 
4.8%
250 80
 
2.8%
400 62
 
2.2%
350 42
 
1.5%
Other values (314) 1208
42.5%
2024-05-03T20:35:18.654261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3467
43.9%
1 1180
 
14.9%
5 708
 
9.0%
2 667
 
8.4%
3 485
 
6.1%
6 359
 
4.5%
4 237
 
3.0%
8 207
 
2.6%
g 151
 
1.9%
7 147
 
1.9%
Other values (21) 293
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7545
95.5%
Lowercase Letter 256
 
3.2%
Other Punctuation 63
 
0.8%
Other Letter 31
 
0.4%
Uppercase Letter 5
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
줄 8
25.8%
잔 7
22.6%
이 3
 
9.7%
상 3
 
9.7%
채 2
 
6.5%
수 2
 
6.5%
병 2
 
6.5%
김 1
 
3.2%
밥 1
 
3.2%
봉 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
0 3467
46.0%
1 1180
 
15.6%
5 708
 
9.4%
2 667
 
8.8%
3 485
 
6.4%
6 359
 
4.8%
4 237
 
3.1%
8 207
 
2.7%
7 147
 
1.9%
9 88
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
g 151
59.0%
ℓ 29
 
11.3%
l 28
 
10.9%
m 27
 
10.5%
k 11
 
4.3%
c 10
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 62
98.4%
, 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
L 5
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7638
96.7%
Latin 232
 
2.9%
Hangul 31
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3467
45.4%
1 1180
 
15.4%
5 708
 
9.3%
2 667
 
8.7%
3 485
 
6.3%
6 359
 
4.7%
4 237
 
3.1%
8 207
 
2.7%
7 147
 
1.9%
9 88
 
1.2%
Other values (4) 93
 
1.2%
Hangul
ValueCountFrequency (%)
줄 8
25.8%
잔 7
22.6%
이 3
 
9.7%
상 3
 
9.7%
채 2
 
6.5%
수 2
 
6.5%
병 2
 
6.5%
김 1
 
3.2%
밥 1
 
3.2%
봉 1
 
3.2%
Latin
ValueCountFrequency (%)
g 151
65.1%
l 28
 
12.1%
m 27
 
11.6%
k 11
 
4.7%
c 10
 
4.3%
L 5
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7841
99.2%
Hangul 31
 
0.4%
Letterlike Symbols 29
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3467
44.2%
1 1180
 
15.0%
5 708
 
9.0%
2 667
 
8.5%
3 485
 
6.2%
6 359
 
4.6%
4 237
 
3.0%
8 207
 
2.6%
g 151
 
1.9%
7 147
 
1.9%
Other values (9) 233
 
3.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 29
100.0%
Hangul
ValueCountFrequency (%)
줄 8
25.8%
잔 7
22.6%
이 3
 
9.7%
상 3
 
9.7%
채 2
 
6.5%
수 2
 
6.5%
병 2
 
6.5%
김 1
 
3.2%
밥 1
 
3.2%
봉 1
 
3.2%

단위(정량)
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
2489 
g
1956 
ML
297 
KG
 
172
LT
 
159

Length

Max length4
Median length2
Mean length2.5941315
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2489
49.0%
g 1956
38.5%
ML 297
 
5.8%
KG 172
 
3.4%
LT 159
 
3.1%
매 5
 
0.1%

Length

2024-05-03T20:35:18.915849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:19.169500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2489
49.0%
g 1956
38.5%
ml 297
 
5.8%
kg 172
 
3.4%
lt 159
 
3.1%
매 5
 
0.1%

수거량(자유)
Text

MISSING 

Distinct83
Distinct (%)26.6%
Missing4766
Missing (%)93.9%
Memory size39.8 KiB
2024-05-03T20:35:19.877831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length4.9070513
Min length1

Characters and Unicode

Total characters1531
Distinct characters76
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)15.4%

Sample

1st row수송배지3개
2nd row수송배지3개
3rd row1개
4th row채수병 1
5th row멸균팩1
ValueCountFrequency (%)
1개 82
 
16.3%
1 62
 
12.3%
x 61
 
12.1%
3개 19
 
3.8%
4잔 14
 
2.8%
3 13
 
2.6%
수송배지 11
 
2.2%
11
 
2.2%
수송배지3개 11
 
2.2%
멸균팩 11
 
2.2%
Other values (101) 208
41.4%
2024-05-03T20:35:21.012979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 214
 
14.0%
191
 
12.5%
개 145
 
9.5%
3 76
 
5.0%
0 69
 
4.5%
x 54
 
3.5%
2 51
 
3.3%
수 43
 
2.8%
지 34
 
2.2%
5 33
 
2.2%
Other values (66) 621
40.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 508
33.2%
Other Letter 488
31.9%
Lowercase Letter 230
15.0%
Space Separator 191
 
12.5%
Uppercase Letter 48
 
3.1%
Math Symbol 19
 
1.2%
Other Punctuation 17
 
1.1%
Close Punctuation 15
 
1.0%
Open Punctuation 15
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 145
29.7%
수 43
 
8.8%
지 34
 
7.0%
배 31
 
6.4%
송 30
 
6.1%
스 15
 
3.1%
잔 14
 
2.9%
왑 14
 
2.9%
팩 13
 
2.7%
균 13
 
2.7%
Other values (30) 136
27.9%
Decimal Number
ValueCountFrequency (%)
1 214
42.1%
3 76
 
15.0%
0 69
 
13.6%
2 51
 
10.0%
5 33
 
6.5%
4 31
 
6.1%
6 17
 
3.3%
9 8
 
1.6%
7 7
 
1.4%
8 2
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
x 54
23.5%
b 32
13.9%
g 30
13.0%
m 25
10.9%
a 25
10.9%
w 25
10.9%
s 18
 
7.8%
l 14
 
6.1%
o 7
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
X 17
35.4%
S 12
25.0%
A 5
 
10.4%
B 5
 
10.4%
W 5
 
10.4%
L 1
 
2.1%
M 1
 
2.1%
P 1
 
2.1%
U 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
* 10
58.8%
. 6
35.3%
, 1
 
5.9%
Math Symbol
ValueCountFrequency (%)
× 13
68.4%
= 6
31.6%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 765
50.0%
Hangul 488
31.9%
Latin 278
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 145
29.7%
수 43
 
8.8%
지 34
 
7.0%
배 31
 
6.4%
송 30
 
6.1%
스 15
 
3.1%
잔 14
 
2.9%
왑 14
 
2.9%
팩 13
 
2.7%
균 13
 
2.7%
Other values (30) 136
27.9%
Common
ValueCountFrequency (%)
1 214
28.0%
191
25.0%
3 76
 
9.9%
0 69
 
9.0%
2 51
 
6.7%
5 33
 
4.3%
4 31
 
4.1%
6 17
 
2.2%
) 15
 
2.0%
( 15
 
2.0%
Other values (8) 53
 
6.9%
Latin
ValueCountFrequency (%)
x 54
19.4%
b 32
11.5%
g 30
10.8%
m 25
9.0%
a 25
9.0%
w 25
9.0%
s 18
 
6.5%
X 17
 
6.1%
l 14
 
5.0%
S 12
 
4.3%
Other values (8) 26
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1030
67.3%
Hangul 488
31.9%
None 13
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 214
20.8%
191
18.5%
3 76
 
7.4%
0 69
 
6.7%
x 54
 
5.2%
2 51
 
5.0%
5 33
 
3.2%
b 32
 
3.1%
4 31
 
3.0%
g 30
 
2.9%
Other values (25) 249
24.2%
Hangul
ValueCountFrequency (%)
개 145
29.7%
수 43
 
8.8%
지 34
 
7.0%
배 31
 
6.4%
송 30
 
6.1%
스 15
 
3.1%
잔 14
 
2.9%
왑 14
 
2.9%
팩 13
 
2.7%
균 13
 
2.7%
Other values (30) 136
27.9%
None
ValueCountFrequency (%)
× 13
100.0%

제조일자(일자)
Real number (ℝ)

MISSING  SKEWED 

Distinct357
Distinct (%)25.5%
Missing3680
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean20164871
Minimum11111111
Maximum20240304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:21.450570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11111111
5-th percentile20120696
Q120150536
median20171018
Q320190814
95-th percentile20231011
Maximum20240304
Range9129193
Interquartile range (IQR)40278

Descriptive statistics

Standard deviation244669.43
Coefficient of variation (CV)0.012133449
Kurtosis1344.9202
Mean20164871
Median Absolute Deviation (MAD)20102
Skewness-36.320563
Sum2.819049 × 1010
Variance5.9863128 × 1010
MonotonicityNot monotonic
2024-05-03T20:35:22.136843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121210 36
 
0.7%
20120712 33
 
0.6%
20171011 29
 
0.6%
20180831 23
 
0.5%
20131105 22
 
0.4%
20180830 17
 
0.3%
20160427 15
 
0.3%
20190814 15
 
0.3%
20190813 15
 
0.3%
20130523 15
 
0.3%
Other values (347) 1178
 
23.2%
(Missing) 3680
72.5%
ValueCountFrequency (%)
11111111 1
< 0.1%
20100301 1
< 0.1%
20100719 1
< 0.1%
20100921 1
< 0.1%
20110630 1
< 0.1%
20110723 1
< 0.1%
20110726 1
< 0.1%
20110801 1
< 0.1%
20111009 1
< 0.1%
20111014 1
< 0.1%
ValueCountFrequency (%)
20240304 3
 
0.1%
20240227 2
 
< 0.1%
20240123 1
 
< 0.1%
20231226 5
0.1%
20231222 8
0.2%
20231221 7
0.1%
20231220 9
0.2%
20231212 1
 
< 0.1%
20231208 10
0.2%
20231207 8
0.2%

제조일자(롯트)
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
5027 
0
 
19
.
 
10
해당없음
 
7
1
 
6
Other values (4)
 
9

Length

Max length6
Median length4
Mean length3.9777471
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5027
99.0%
0 19
 
0.4%
. 10
 
0.2%
해당없음 7
 
0.1%
1 6
 
0.1%
3개 4
 
0.1%
0000 3
 
0.1%
2018-9 1
 
< 0.1%
1개 1
 
< 0.1%

Length

2024-05-03T20:35:22.681953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:23.083612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5027
99.0%
0 19
 
0.4%
10
 
0.2%
해당없음 7
 
0.1%
1 6
 
0.1%
3개 4
 
0.1%
0000 3
 
0.1%
2018-9 1
 
< 0.1%
1개 1
 
< 0.1%

유통기한(일자)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)37.8%
Missing5041
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20116506
Minimum20111019
Maximum20140930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:23.453557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111019
5-th percentile20111019
Q120111019
median20111205
Q320120302
95-th percentile20130551
Maximum20140930
Range29911
Interquartile range (IQR)9283

Descriptive statistics

Standard deviation7771.6256
Coefficient of variation (CV)0.00038633078
Kurtosis1.489705
Mean20116506
Median Absolute Deviation (MAD)186
Skewness1.4092547
Sum7.4431074 × 108
Variance60398165
MonotonicityNot monotonic
2024-05-03T20:35:23.858131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20111019 14
 
0.3%
20111205 8
 
0.2%
20120207 3
 
0.1%
20120208 2
 
< 0.1%
20130531 1
 
< 0.1%
20121114 1
 
< 0.1%
20120302 1
 
< 0.1%
20130328 1
 
< 0.1%
20130330 1
 
< 0.1%
20120812 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 5041
99.3%
ValueCountFrequency (%)
20111019 14
0.3%
20111205 8
0.2%
20120207 3
 
0.1%
20120208 2
 
< 0.1%
20120302 1
 
< 0.1%
20120307 1
 
< 0.1%
20120509 1
 
< 0.1%
20120812 1
 
< 0.1%
20121114 1
 
< 0.1%
20130328 1
 
< 0.1%
ValueCountFrequency (%)
20140930 1
< 0.1%
20130630 1
< 0.1%
20130531 1
< 0.1%
20130330 1
< 0.1%
20130328 1
< 0.1%
20121114 1
< 0.1%
20120812 1
< 0.1%
20120509 1
< 0.1%
20120307 1
< 0.1%
20120302 1
< 0.1%

유통기한(제조일기준)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)7.0%
Missing4978
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean23.11
Minimum0
Maximum1095
Zeros65
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:24.221092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11.85
Maximum1095
Range1095
Interquartile range (IQR)1

Descriptive statistics

Standard deviation125.22859
Coefficient of variation (CV)5.4188053
Kurtosis56.710789
Mean23.11
Median Absolute Deviation (MAD)0
Skewness7.1367745
Sum2311
Variance15682.2
MonotonicityNot monotonic
2024-05-03T20:35:24.601291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 65
 
1.3%
1 28
 
0.6%
3 2
 
< 0.1%
180 2
 
< 0.1%
1095 1
 
< 0.1%
365 1
 
< 0.1%
457 1
 
< 0.1%
(Missing) 4978
98.0%
ValueCountFrequency (%)
0 65
1.3%
1 28
0.6%
3 2
 
< 0.1%
180 2
 
< 0.1%
365 1
 
< 0.1%
457 1
 
< 0.1%
1095 1
 
< 0.1%
ValueCountFrequency (%)
1095 1
 
< 0.1%
457 1
 
< 0.1%
365 1
 
< 0.1%
180 2
 
< 0.1%
3 2
 
< 0.1%
1 28
0.6%
0 65
1.3%

보관상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
2186 
실온
1829 
냉장
575 
냉동
425 
기타
 
63

Length

Max length4
Median length2
Mean length2.8609689
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2186
43.0%
실온 1829
36.0%
냉장 575
 
11.3%
냉동 425
 
8.4%
기타 63
 
1.2%

Length

2024-05-03T20:35:24.983309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:25.343679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2186
43.0%
실온 1829
36.0%
냉장 575
 
11.3%
냉동 425
 
8.4%
기타 63
 
1.2%

바코드번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5078
Missing (%)100.0%
Memory size44.8 KiB

어린이기호식품유형
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
5058 
과자(한과류제외)
 
12
빵류
 
6
캔디류
 
2

Length

Max length9
Median length4
Mean length4.0090587
Min length2

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> 5058
99.6%
과자(한과류제외) 12
 
0.2%
빵류 6
 
0.1%
캔디류 2
 
< 0.1%

Length

2024-05-03T20:35:25.770212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:26.025201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5058
99.6%
과자(한과류제외 12
 
0.2%
빵류 6
 
0.1%
캔디류 2
 
< 0.1%

검사기관명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
1
3550 
<NA>
1521 
2
 
4
3
 
3

Length

Max length4
Median length1
Mean length1.8985821
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3550
69.9%
<NA> 1521
30.0%
2 4
 
0.1%
3 3
 
0.1%

Length

2024-05-03T20:35:26.241906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:26.445545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3550
69.9%
na 1521
30.0%
2 4
 
0.1%
3 3
 
0.1%

(구)제조사명
Text

MISSING 

Distinct97
Distinct (%)78.9%
Missing4955
Missing (%)97.6%
Memory size39.8 KiB
2024-05-03T20:35:26.851963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length6.5365854
Min length2

Characters and Unicode

Total characters804
Distinct characters197
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

Unique76 ?
Unique (%)61.8%

Sample

1st row도원식품
2nd row케익을 사랑하는 사람들
3rd row케익을사랑하는사람들
4th row설악식품
5th row도원식품
ValueCountFrequency (%)
주)오뚜기 3
 
2.1%
해태음료(주 3
 
2.1%
주)크라운제과 3
 
2.1%
씨제이제일제당 3
 
2.1%
도원식품 3
 
2.1%
신명방앗간 2
 
1.4%
corporation 2
 
1.4%
company 2
 
1.4%
foods 2
 
1.4%
떡이오 2
 
1.4%
Other values (100) 116
82.3%
2024-05-03T20:35:27.602106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 49
 
6.1%
( 43
 
5.3%
) 43
 
5.3%
식 30
 
3.7%
제 28
 
3.5%
품 24
 
3.0%
18
 
2.2%
기 14
 
1.7%
이 13
 
1.6%
오 13
 
1.6%
Other values (187) 529
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 583
72.5%
Uppercase Letter 74
 
9.2%
Open Punctuation 43
 
5.3%
Close Punctuation 43
 
5.3%
Lowercase Letter 40
 
5.0%
Space Separator 18
 
2.2%
Other Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 49
 
8.4%
식 30
 
5.1%
제 28
 
4.8%
품 24
 
4.1%
기 14
 
2.4%
이 13
 
2.2%
오 13
 
2.2%
과 12
 
2.1%
일 12
 
2.1%
사 11
 
1.9%
Other values (148) 377
64.7%
Uppercase Letter
ValueCountFrequency (%)
O 9
12.2%
E 9
12.2%
R 7
9.5%
S 6
 
8.1%
F 6
 
8.1%
A 5
 
6.8%
C 4
 
5.4%
H 4
 
5.4%
Y 4
 
5.4%
P 3
 
4.1%
Other values (9) 17
23.0%
Lowercase Letter
ValueCountFrequency (%)
o 10
25.0%
l 4
 
10.0%
a 4
 
10.0%
d 3
 
7.5%
s 3
 
7.5%
e 3
 
7.5%
n 3
 
7.5%
t 2
 
5.0%
r 2
 
5.0%
c 2
 
5.0%
Other values (4) 4
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
72.5%
Latin 114
 
14.2%
Common 107
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 49
 
8.4%
식 30
 
5.1%
제 28
 
4.8%
품 24
 
4.1%
기 14
 
2.4%
이 13
 
2.2%
오 13
 
2.2%
과 12
 
2.1%
일 12
 
2.1%
사 11
 
1.9%
Other values (148) 377
64.7%
Latin
ValueCountFrequency (%)
o 10
 
8.8%
O 9
 
7.9%
E 9
 
7.9%
R 7
 
6.1%
S 6
 
5.3%
F 6
 
5.3%
A 5
 
4.4%
l 4
 
3.5%
C 4
 
3.5%
a 4
 
3.5%
Other values (23) 50
43.9%
Common
ValueCountFrequency (%)
( 43
40.2%
) 43
40.2%
18
16.8%
. 1
 
0.9%
1 1
 
0.9%
, 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 583
72.5%
ASCII 221
 
27.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 49
 
8.4%
식 30
 
5.1%
제 28
 
4.8%
품 24
 
4.1%
기 14
 
2.4%
이 13
 
2.2%
오 13
 
2.2%
과 12
 
2.1%
일 12
 
2.1%
사 11
 
1.9%
Other values (148) 377
64.7%
ASCII
ValueCountFrequency (%)
( 43
19.5%
) 43
19.5%
18
 
8.1%
o 10
 
4.5%
O 9
 
4.1%
E 9
 
4.1%
R 7
 
3.2%
S 6
 
2.7%
F 6
 
2.7%
A 5
 
2.3%
Other values (29) 65
29.4%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
국내
2883 
국외
2195 

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 2883
56.8%
국외 2195
43.2%

Length

2024-05-03T20:35:27.864192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:28.200202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 2883
56.8%
국외 2195
43.2%

국가명
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
4806 
미국
 
60
중국
 
31
일본
 
19
이탈리아
 
17
Other values (32)
 
145

Length

Max length6
Median length4
Mean length3.9287121
Min length2

Unique

Unique10 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4806
94.6%
미국 60
 
1.2%
중국 31
 
0.6%
일본 19
 
0.4%
이탈리아 17
 
0.3%
태국 17
 
0.3%
독일 13
 
0.3%
스페인 13
 
0.3%
캐나다 12
 
0.2%
필리핀 11
 
0.2%
Other values (27) 79
 
1.6%

Length

2024-05-03T20:35:28.577639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4806
94.6%
미국 60
 
1.2%
중국 33
 
0.6%
일본 19
 
0.4%
이탈리아 17
 
0.3%
태국 17
 
0.3%
독일 13
 
0.3%
스페인 13
 
0.3%
캐나다 12
 
0.2%
필리핀 11
 
0.2%
Other values (28) 82
 
1.6%

검사구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
2642 
1
1537 
2
899 

Length

Max length4
Median length4
Mean length2.5608507
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2642
52.0%
1 1537
30.3%
2 899
 
17.7%

Length

2024-05-03T20:35:28.911644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:29.227659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2642
52.0%
1 1537
30.3%
2 899
 
17.7%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)9.9%
Missing3444
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean20173777
Minimum20110114
Maximum20240305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:29.529052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110114
5-th percentile20110704
Q120170124
median20180205
Q320190424
95-th percentile20231158
Maximum20240305
Range130191
Interquartile range (IQR)20300

Descriptive statistics

Standard deviation33635.383
Coefficient of variation (CV)0.0016672824
Kurtosis0.061868306
Mean20173777
Median Absolute Deviation (MAD)10099
Skewness-0.41964894
Sum3.2963952 × 1010
Variance1.131339 × 109
MonotonicityNot monotonic
2024-05-03T20:35:30.098470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180904 50
 
1.0%
20170830 49
 
1.0%
20110722 46
 
0.9%
20180723 44
 
0.9%
20170324 43
 
0.8%
20171011 39
 
0.8%
20170106 34
 
0.7%
20190618 32
 
0.6%
20210705 32
 
0.6%
20181031 31
 
0.6%
Other values (152) 1234
 
24.3%
(Missing) 3444
67.8%
ValueCountFrequency (%)
20110114 20
0.4%
20110131 1
 
< 0.1%
20110208 14
0.3%
20110322 1
 
< 0.1%
20110428 3
 
0.1%
20110517 2
 
< 0.1%
20110518 14
0.3%
20110525 3
 
0.1%
20110530 2
 
< 0.1%
20110531 2
 
< 0.1%
ValueCountFrequency (%)
20240305 22
0.4%
20240227 4
 
0.1%
20240124 1
 
< 0.1%
20231226 29
0.6%
20231212 26
0.5%
20231129 5
 
0.1%
20231116 1
 
< 0.1%
20231018 3
 
0.1%
20231012 9
 
0.2%
20231010 3
 
0.1%

결과회보일자
Real number (ℝ)

MISSING 

Distinct186
Distinct (%)13.2%
Missing3673
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean20169468
Minimum20110121
Maximum20230530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:30.520111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110121
5-th percentile20110720
Q120170209
median20171205
Q320180907
95-th percentile20201110
Maximum20230530
Range120409
Interquartile range (IQR)10698

Descriptive statistics

Standard deviation26709.337
Coefficient of variation (CV)0.001324246
Kurtosis0.82318273
Mean20169468
Median Absolute Deviation (MAD)9701
Skewness-1.2082855
Sum2.8338102 × 1010
Variance7.133887 × 108
MonotonicityNot monotonic
2024-05-03T20:35:31.022003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180907 68
 
1.3%
20170925 46
 
0.9%
20180808 40
 
0.8%
20170407 39
 
0.8%
20170123 34
 
0.7%
20210714 32
 
0.6%
20160517 27
 
0.5%
20111026 26
 
0.5%
20170714 26
 
0.5%
20171018 26
 
0.5%
Other values (176) 1041
 
20.5%
(Missing) 3673
72.3%
ValueCountFrequency (%)
20110121 1
 
< 0.1%
20110126 9
0.2%
20110128 10
0.2%
20110221 14
0.3%
20110223 1
 
< 0.1%
20110405 1
 
< 0.1%
20110513 1
 
< 0.1%
20110516 2
 
< 0.1%
20110601 1
 
< 0.1%
20110602 15
0.3%
ValueCountFrequency (%)
20230530 1
 
< 0.1%
20220204 3
 
0.1%
20210714 32
0.6%
20210609 25
0.5%
20210326 5
 
0.1%
20210203 4
 
0.1%
20201110 5
 
0.1%
20201108 8
 
0.2%
20201030 6
 
0.1%
20201020 12
 
0.2%

판정구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
1
3167 
<NA>
1881 
2
 
30

Length

Max length4
Median length1
Mean length2.1112643
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3167
62.4%
<NA> 1881
37.0%
2 30
 
0.6%

Length

2024-05-03T20:35:31.572453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:31.901037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3167
62.4%
na 1881
37.0%
2 30
 
0.6%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5078
Missing (%)100.0%
Memory size44.8 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5078
Missing (%)100.0%
Memory size44.8 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5078
Missing (%)100.0%
Memory size44.8 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5078
Missing (%)100.0%
Memory size44.8 KiB

처리결과
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing5071
Missing (%)99.9%
Memory size39.8 KiB
2024-05-03T20:35:32.213589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length16.142857
Min length3

Characters and Unicode

Total characters113
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row과징금150만원
2nd row대장균(양성)
3rd row비한우
4th row영업정지10일에 갈음한 과징금 280만원 부과
5th row영업정지 20일에 갈음한 과징금 100만원 부과
ValueCountFrequency (%)
갈음한 3
13.6%
과징금 3
13.6%
부과 3
13.6%
100만원 2
 
9.1%
과징금150만원 1
 
4.5%
대장균(양성 1
 
4.5%
비한우 1
 
4.5%
영업정지10일에 1
 
4.5%
280만원 1
 
4.5%
영업정지 1
 
4.5%
Other values (5) 5
22.7%
2024-05-03T20:35:32.957106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
13.3%
0 9
 
8.0%
과 7
 
6.2%
원 4
 
3.5%
한 4
 
3.5%
징 4
 
3.5%
업 4
 
3.5%
만 4
 
3.5%
1 4
 
3.5%
금 4
 
3.5%
Other values (34) 54
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
67.3%
Decimal Number 18
 
15.9%
Space Separator 15
 
13.3%
Close Punctuation 2
 
1.8%
Open Punctuation 2
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 7
 
9.2%
원 4
 
5.3%
한 4
 
5.3%
징 4
 
5.3%
업 4
 
5.3%
만 4
 
5.3%
금 4
 
5.3%
영 3
 
3.9%
갈 3
 
3.9%
부 3
 
3.9%
Other values (26) 36
47.4%
Decimal Number
ValueCountFrequency (%)
0 9
50.0%
1 4
22.2%
2 3
 
16.7%
5 1
 
5.6%
8 1
 
5.6%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
67.3%
Common 37
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 7
 
9.2%
원 4
 
5.3%
한 4
 
5.3%
징 4
 
5.3%
업 4
 
5.3%
만 4
 
5.3%
금 4
 
5.3%
영 3
 
3.9%
갈 3
 
3.9%
부 3
 
3.9%
Other values (26) 36
47.4%
Common
ValueCountFrequency (%)
15
40.5%
0 9
24.3%
1 4
 
10.8%
2 3
 
8.1%
) 2
 
5.4%
( 2
 
5.4%
5 1
 
2.7%
8 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
67.3%
ASCII 37
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
40.5%
0 9
24.3%
1 4
 
10.8%
2 3
 
8.1%
) 2
 
5.4%
( 2
 
5.4%
5 1
 
2.7%
8 1
 
2.7%
Hangul
ValueCountFrequency (%)
과 7
 
9.2%
원 4
 
5.3%
한 4
 
5.3%
징 4
 
5.3%
업 4
 
5.3%
만 4
 
5.3%
금 4
 
5.3%
영 3
 
3.9%
갈 3
 
3.9%
부 3
 
3.9%
Other values (26) 36
47.4%

수거품처리
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
5075 
폐기
 
3

Length

Max length4
Median length4
Mean length3.9988184
Min length2

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> 5075
99.9%
폐기 3
 
0.1%

Length

2024-05-03T20:35:33.400041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:33.730571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5075
99.9%
폐기 3
 
0.1%

교부번호
Real number (ℝ)

Distinct787
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0054804 × 1010
Minimum1.976012 × 1010
Maximum2.0230155 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:34.079599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.976012 × 1010
5-th percentile1.9960121 × 1010
Q12.0020121 × 1010
median2.006012 × 1010
Q32.0080121 × 1010
95-th percentile2.0160121 × 1010
Maximum2.0230155 × 1010
Range4.7003509 × 108
Interquartile range (IQR)59999610

Descriptive statistics

Standard deviation58412623
Coefficient of variation (CV)0.0029126499
Kurtosis1.5898524
Mean2.0054804 × 1010
Median Absolute Deviation (MAD)30000256
Skewness-0.15630764
Sum1.0183829 × 1014
Variance3.4120346 × 1015
MonotonicityNot monotonic
2024-05-03T20:35:34.456690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060120394 447
 
8.8%
20080120841 396
 
7.8%
19990121759 346
 
6.8%
20020121231 222
 
4.4%
20040121467 168
 
3.3%
20030121343 155
 
3.1%
20080120094 113
 
2.2%
20030121096 110
 
2.2%
19990121465 99
 
1.9%
20060120190 99
 
1.9%
Other values (777) 2923
57.6%
ValueCountFrequency (%)
19760120004 3
0.1%
19760120005 2
< 0.1%
19770120015 1
 
< 0.1%
19790120015 1
 
< 0.1%
19800120061 1
 
< 0.1%
19810120041 2
< 0.1%
19810120103 2
< 0.1%
19810120107 2
< 0.1%
19830120050 1
 
< 0.1%
19830120071 1
 
< 0.1%
ValueCountFrequency (%)
20230155093 2
< 0.1%
20230154427 2
< 0.1%
20220147329 1
< 0.1%
20220147296 1
< 0.1%
20220147078 1
< 0.1%
20220147005 2
< 0.1%
20220146712 1
< 0.1%
20220146505 1
< 0.1%
20220146253 1
< 0.1%
20210120875 1
< 0.1%

폐기일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
5070 
20110602
 
3
20180323
 
2
20090609
 
2
20100819
 
1

Length

Max length8
Median length4
Mean length4.0063017
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> 5070
99.8%
20110602 3
 
0.1%
20180323 2
 
< 0.1%
20090609 2
 
< 0.1%
20100819 1
 
< 0.1%

Length

2024-05-03T20:35:34.755198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:34.967572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5070
99.8%
20110602 3
 
0.1%
20180323 2
 
< 0.1%
20090609 2
 
< 0.1%
20100819 1
 
< 0.1%

폐기량(Kg)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
5075 
0
 
3

Length

Max length4
Median length4
Mean length3.9982276
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5075
99.9%
0 3
 
0.1%

Length

2024-05-03T20:35:35.192446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:35.505626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5075
99.9%
0 3
 
0.1%

폐기금액(원)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
5075 
0
 
3

Length

Max length4
Median length4
Mean length3.9982276
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5075
99.9%
0 3
 
0.1%

Length

2024-05-03T20:35:35.853384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:36.171096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5075
99.9%
0 3
 
0.1%

폐기장소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5077
Missing (%)> 99.9%
Memory size39.8 KiB
2024-05-03T20:35:36.378580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row업소내
ValueCountFrequency (%)
업소내 1
100.0%
2024-05-03T20:35:37.017786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 1
33.3%
소 1
33.3%
내 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1
33.3%
소 1
33.3%
내 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1
33.3%
소 1
33.3%
내 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 1
33.3%
소 1
33.3%
내 1
33.3%

폐기방법
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing5077
Missing (%)> 99.9%
Memory size39.8 KiB
2024-05-03T20:35:37.322566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row자체 폐기
ValueCountFrequency (%)
자체 1
50.0%
폐기 1
50.0%
2024-05-03T20:35:37.985984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 1
20.0%
체 1
20.0%
1
20.0%
폐 1
20.0%
기 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 1
25.0%
체 1
25.0%
폐 1
25.0%
기 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 1
25.0%
체 1
25.0%
폐 1
25.0%
기 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 1
25.0%
체 1
25.0%
폐 1
25.0%
기 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지(도로명)
Text

MISSING 

Distinct415
Distinct (%)19.7%
Missing2974
Missing (%)58.6%
Memory size39.8 KiB
2024-05-03T20:35:38.452534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length31.402567
Min length22

Characters and Unicode

Total characters66071
Distinct characters187
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)9.4%

Sample

1st row서울특별시 강동구 천호대로155길 18, (천호동)
2nd row서울특별시 강동구 천호대로155길 18, (천호동)
3rd row서울특별시 강동구 성안로3길 127, (성내동)
4th row서울특별시 강동구 천호대로 1110, (성내동)
5th row서울특별시 강동구 올림픽로 833-11, (암사동)
ValueCountFrequency (%)
서울특별시 2104
 
17.2%
강동구 2104
 
17.2%
성내동 496
 
4.1%
천호동 349
 
2.9%
명일동 276
 
2.3%
양재대로 270
 
2.2%
1층 247
 
2.0%
천호대로 210
 
1.7%
길동 173
 
1.4%
1017 162
 
1.3%
Other values (570) 5820
47.7%
2024-05-03T20:35:39.343807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10107
 
15.3%
동 4494
 
6.8%
1 3229
 
4.9%
, 2925
 
4.4%
) 2273
 
3.4%
( 2273
 
3.4%
강 2266
 
3.4%
구 2235
 
3.4%
시 2140
 
3.2%
별 2109
 
3.2%
Other values (177) 32020
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37897
57.4%
Decimal Number 10292
 
15.6%
Space Separator 10107
 
15.3%
Other Punctuation 2929
 
4.4%
Close Punctuation 2273
 
3.4%
Open Punctuation 2273
 
3.4%
Dash Punctuation 201
 
0.3%
Uppercase Letter 66
 
0.1%
Math Symbol 33
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4494
 
11.9%
강 2266
 
6.0%
구 2235
 
5.9%
시 2140
 
5.6%
별 2109
 
5.6%
서 2104
 
5.6%
특 2104
 
5.6%
울 2104
 
5.6%
로 2050
 
5.4%
길 1274
 
3.4%
Other values (147) 15017
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 51
77.3%
E 2
 
3.0%
A 2
 
3.0%
F 2
 
3.0%
O 1
 
1.5%
R 1
 
1.5%
W 1
 
1.5%
T 1
 
1.5%
I 1
 
1.5%
D 1
 
1.5%
Other values (3) 3
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 3229
31.4%
2 1189
 
11.6%
5 971
 
9.4%
0 908
 
8.8%
6 790
 
7.7%
7 728
 
7.1%
3 716
 
7.0%
8 714
 
6.9%
4 598
 
5.8%
9 449
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 2925
99.9%
. 4
 
0.1%
Space Separator
ValueCountFrequency (%)
10107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 201
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37897
57.4%
Common 28108
42.5%
Latin 66
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4494
 
11.9%
강 2266
 
6.0%
구 2235
 
5.9%
시 2140
 
5.6%
별 2109
 
5.6%
서 2104
 
5.6%
특 2104
 
5.6%
울 2104
 
5.6%
로 2050
 
5.4%
길 1274
 
3.4%
Other values (147) 15017
39.6%
Common
ValueCountFrequency (%)
10107
36.0%
1 3229
 
11.5%
, 2925
 
10.4%
) 2273
 
8.1%
( 2273
 
8.1%
2 1189
 
4.2%
5 971
 
3.5%
0 908
 
3.2%
6 790
 
2.8%
7 728
 
2.6%
Other values (7) 2715
 
9.7%
Latin
ValueCountFrequency (%)
B 51
77.3%
E 2
 
3.0%
A 2
 
3.0%
F 2
 
3.0%
O 1
 
1.5%
R 1
 
1.5%
W 1
 
1.5%
T 1
 
1.5%
I 1
 
1.5%
D 1
 
1.5%
Other values (3) 3
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37897
57.4%
ASCII 28174
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10107
35.9%
1 3229
 
11.5%
, 2925
 
10.4%
) 2273
 
8.1%
( 2273
 
8.1%
2 1189
 
4.2%
5 971
 
3.4%
0 908
 
3.2%
6 790
 
2.8%
7 728
 
2.6%
Other values (20) 2781
 
9.9%
Hangul
ValueCountFrequency (%)
동 4494
 
11.9%
강 2266
 
6.0%
구 2235
 
5.9%
시 2140
 
5.6%
별 2109
 
5.6%
서 2104
 
5.6%
특 2104
 
5.6%
울 2104
 
5.6%
로 2050
 
5.4%
길 1274
 
3.4%
Other values (147) 15017
39.6%

소재지(지번)
Text

Distinct732
Distinct (%)14.5%
Missing30
Missing (%)0.6%
Memory size39.8 KiB
2024-05-03T20:35:39.804634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length27.195325
Min length20

Characters and Unicode

Total characters137282
Distinct characters210
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

Unique349 ?
Unique (%)6.9%

Sample

1st row서울특별시 강동구 천호동 454번지 20호
2nd row서울특별시 강동구 천호동 454번지 20호
3rd row서울특별시 강동구 성내동 456번지 2호
4th row서울특별시 강동구 성내동 199번지 23호
5th row서울특별시 강동구 천호동 453번지 10호
ValueCountFrequency (%)
서울특별시 5048
18.7%
강동구 5048
18.7%
천호동 1718
 
6.4%
성내동 1289
 
4.8%
1호 905
 
3.4%
명일동 729
 
2.7%
0호 548
 
2.0%
563번지 452
 
1.7%
42번지 421
 
1.6%
지하2층 404
 
1.5%
Other values (633) 10378
38.5%
2024-05-03T20:35:40.692294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34947
25.5%
동 10266
 
7.5%
지 6178
 
4.5%
호 5542
 
4.0%
강 5188
 
3.8%
시 5118
 
3.7%
구 5097
 
3.7%
서 5081
 
3.7%
울 5079
 
3.7%
별 5053
 
3.7%
Other values (200) 49733
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79185
57.7%
Space Separator 34947
25.5%
Decimal Number 21680
 
15.8%
Close Punctuation 505
 
0.4%
Open Punctuation 505
 
0.4%
Dash Punctuation 217
 
0.2%
Uppercase Letter 130
 
0.1%
Other Punctuation 109
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10266
13.0%
지 6178
 
7.8%
호 5542
 
7.0%
강 5188
 
6.6%
시 5118
 
6.5%
구 5097
 
6.4%
서 5081
 
6.4%
울 5079
 
6.4%
별 5053
 
6.4%
번 5048
 
6.4%
Other values (163) 21535
27.2%
Uppercase Letter
ValueCountFrequency (%)
B 72
55.4%
A 35
26.9%
D 5
 
3.8%
E 2
 
1.5%
G 2
 
1.5%
C 2
 
1.5%
S 2
 
1.5%
F 2
 
1.5%
V 1
 
0.8%
M 1
 
0.8%
Other values (6) 6
 
4.6%
Decimal Number
ValueCountFrequency (%)
1 4213
19.4%
4 3850
17.8%
2 2999
13.8%
5 2625
12.1%
3 2469
11.4%
0 1592
 
7.3%
6 1572
 
7.3%
8 905
 
4.2%
9 760
 
3.5%
7 695
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
l 1
25.0%
i 1
25.0%
e 1
25.0%
t 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 107
98.2%
@ 1
 
0.9%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
34947
100.0%
Close Punctuation
ValueCountFrequency (%)
) 505
100.0%
Open Punctuation
ValueCountFrequency (%)
( 505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79185
57.7%
Common 57963
42.2%
Latin 134
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10266
13.0%
지 6178
 
7.8%
호 5542
 
7.0%
강 5188
 
6.6%
시 5118
 
6.5%
구 5097
 
6.4%
서 5081
 
6.4%
울 5079
 
6.4%
별 5053
 
6.4%
번 5048
 
6.4%
Other values (163) 21535
27.2%
Latin
ValueCountFrequency (%)
B 72
53.7%
A 35
26.1%
D 5
 
3.7%
E 2
 
1.5%
G 2
 
1.5%
C 2
 
1.5%
S 2
 
1.5%
F 2
 
1.5%
V 1
 
0.7%
l 1
 
0.7%
Other values (10) 10
 
7.5%
Common
ValueCountFrequency (%)
34947
60.3%
1 4213
 
7.3%
4 3850
 
6.6%
2 2999
 
5.2%
5 2625
 
4.5%
3 2469
 
4.3%
0 1592
 
2.7%
6 1572
 
2.7%
8 905
 
1.6%
9 760
 
1.3%
Other values (7) 2031
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79185
57.7%
ASCII 58097
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34947
60.2%
1 4213
 
7.3%
4 3850
 
6.6%
2 2999
 
5.2%
5 2625
 
4.5%
3 2469
 
4.2%
0 1592
 
2.7%
6 1572
 
2.7%
8 905
 
1.6%
9 760
 
1.3%
Other values (27) 2165
 
3.7%
Hangul
ValueCountFrequency (%)
동 10266
13.0%
지 6178
 
7.8%
호 5542
 
7.0%
강 5188
 
6.6%
시 5118
 
6.5%
구 5097
 
6.4%
서 5081
 
6.4%
울 5079
 
6.4%
별 5053
 
6.4%
번 5048
 
6.4%
Other values (163) 21535
27.2%

업소전화번호
Text

MISSING 

Distinct605
Distinct (%)14.3%
Missing839
Missing (%)16.5%
Memory size39.8 KiB
2024-05-03T20:35:41.307196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.625855
Min length2

Characters and Unicode

Total characters45043
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

Unique273 ?
Unique (%)6.4%

Sample

1st row02 4762418
2nd row02 4762418
3rd row02 4744544
4th row02 4708800
5th row02 488 2461
ValueCountFrequency (%)
02 3300
39.1%
4262001 426
 
5.1%
0222241053 354
 
4.2%
34008120 249
 
3.0%
0222248972 168
 
2.0%
4825533 155
 
1.8%
482 114
 
1.4%
5574 113
 
1.3%
4783050 99
 
1.2%
4782268 90
 
1.1%
Other values (641) 3362
39.9%
2024-05-03T20:35:42.285338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9734
21.6%
0 8094
18.0%
5740
12.7%
4 5252
11.7%
1 2853
 
6.3%
3 2706
 
6.0%
8 2655
 
5.9%
7 2581
 
5.7%
5 2454
 
5.4%
6 1831
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39303
87.3%
Space Separator 5740
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9734
24.8%
0 8094
20.6%
4 5252
13.4%
1 2853
 
7.3%
3 2706
 
6.9%
8 2655
 
6.8%
7 2581
 
6.6%
5 2454
 
6.2%
6 1831
 
4.7%
9 1143
 
2.9%
Space Separator
ValueCountFrequency (%)
5740
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45043
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9734
21.6%
0 8094
18.0%
5740
12.7%
4 5252
11.7%
1 2853
 
6.3%
3 2706
 
6.0%
8 2655
 
5.9%
7 2581
 
5.7%
5 2454
 
5.4%
6 1831
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9734
21.6%
0 8094
18.0%
5740
12.7%
4 5252
11.7%
1 2853
 
6.3%
3 2706
 
6.0%
8 2655
 
5.9%
7 2581
 
5.7%
5 2454
 
5.4%
6 1831
 
4.1%

점검목적
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
<NA>
2064 
위생점검(전체)
1654 
수거
1061 
위생점검(부분)
299 

Length

Max length8
Median length4
Mean length5.1205199
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2064
40.6%
위생점검(전체) 1654
32.6%
수거 1061
20.9%
위생점검(부분) 299
 
5.9%

Length

2024-05-03T20:35:42.713236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:43.046227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2064
40.6%
위생점검(전체 1654
32.6%
수거 1061
20.9%
위생점검(부분 299
 
5.9%

점검일자
Real number (ℝ)

Distinct402
Distinct (%)7.9%
Missing9
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean20131807
Minimum20070911
Maximum20240305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:43.418550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070911
5-th percentile20071116
Q120091013
median20120817
Q320170830
95-th percentile20210412
Maximum20240305
Range169394
Interquartile range (IQR)79817

Descriptive statistics

Standard deviation44335.871
Coefficient of variation (CV)0.0022022798
Kurtosis-0.9095961
Mean20131807
Median Absolute Deviation (MAD)39613
Skewness0.44356737
Sum1.0204813 × 1011
Variance1.9656695 × 109
MonotonicityNot monotonic
2024-05-03T20:35:43.868798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081204 105
 
2.1%
20091013 104
 
2.0%
20081015 102
 
2.0%
20071113 87
 
1.7%
20120327 69
 
1.4%
20120425 65
 
1.3%
20080715 61
 
1.2%
20130830 61
 
1.2%
20090729 61
 
1.2%
20101019 61
 
1.2%
Other values (392) 4293
84.5%
ValueCountFrequency (%)
20070911 59
1.2%
20070912 17
 
0.3%
20071011 50
1.0%
20071017 12
 
0.2%
20071113 87
1.7%
20071116 55
1.1%
20071129 1
 
< 0.1%
20071204 43
0.8%
20080115 28
 
0.6%
20080121 50
1.0%
ValueCountFrequency (%)
20240305 22
0.4%
20240227 4
 
0.1%
20240123 1
 
< 0.1%
20231226 29
0.6%
20231212 26
0.5%
20231129 5
 
0.1%
20231117 1
 
< 0.1%
20231018 3
 
0.1%
20231011 9
 
0.2%
20231010 3
 
0.1%

점검구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
수시
2161 
<NA>
2052 
기타
586 
합동
256 
일제
 
23

Length

Max length4
Median length2
Mean length2.8081922
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수시 2161
42.6%
<NA> 2052
40.4%
기타 586
 
11.5%
합동 256
 
5.0%
일제 23
 
0.5%

Length

2024-05-03T20:35:44.327980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:44.678378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 2161
42.6%
na 2052
40.4%
기타 586
 
11.5%
합동 256
 
5.0%
일제 23
 
0.5%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5078
Missing (%)100.0%
Memory size44.8 KiB

점검결과코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
1
2717 
<NA>
2186 
2
 
175

Length

Max length4
Median length1
Mean length2.2914533
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 2717
53.5%
<NA> 2186
43.0%
2 175
 
3.4%

Length

2024-05-03T20:35:45.127309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:35:45.484183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2717
53.5%
na 2186
43.0%
2 175
 
3.4%

(구)제조유통기한
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)37.8%
Missing5041
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20116506
Minimum20111019
Maximum20140930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.8 KiB
2024-05-03T20:35:45.814461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111019
5-th percentile20111019
Q120111019
median20111205
Q320120302
95-th percentile20130551
Maximum20140930
Range29911
Interquartile range (IQR)9283

Descriptive statistics

Standard deviation7771.6256
Coefficient of variation (CV)0.00038633078
Kurtosis1.489705
Mean20116506
Median Absolute Deviation (MAD)186
Skewness1.4092547
Sum7.4431074 × 108
Variance60398165
MonotonicityNot monotonic
2024-05-03T20:35:46.212119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20111019 14
 
0.3%
20111205 8
 
0.2%
20120207 3
 
0.1%
20120208 2
 
< 0.1%
20130531 1
 
< 0.1%
20121114 1
 
< 0.1%
20120302 1
 
< 0.1%
20130328 1
 
< 0.1%
20130330 1
 
< 0.1%
20120812 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 5041
99.3%
ValueCountFrequency (%)
20111019 14
0.3%
20111205 8
0.2%
20120207 3
 
0.1%
20120208 2
 
< 0.1%
20120302 1
 
< 0.1%
20120307 1
 
< 0.1%
20120509 1
 
< 0.1%
20120812 1
 
< 0.1%
20121114 1
 
< 0.1%
20130328 1
 
< 0.1%
ValueCountFrequency (%)
20140930 1
< 0.1%
20130630 1
< 0.1%
20130531 1
< 0.1%
20130330 1
< 0.1%
20130328 1
< 0.1%
20121114 1
< 0.1%
20120812 1
< 0.1%
20120509 1
< 0.1%
20120307 1
< 0.1%
20120302 1
< 0.1%

(구)제조회사주소
Text

MISSING 

Distinct55
Distinct (%)79.7%
Missing5009
Missing (%)98.6%
Memory size39.8 KiB
2024-05-03T20:35:46.786811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length17.26087
Min length13

Characters and Unicode

Total characters1191
Distinct characters128
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

Unique43 ?
Unique (%)62.3%

Sample

1st row강동구 천호동 18-63
2nd row강동구 천호동 18-63
3rd row강동구 암사동 451-2
4th row서울 강동구 천호동 363-32
5th row강동구 천호동 290-31
ValueCountFrequency (%)
강동구 17
 
5.9%
서울 14
 
4.8%
경기 7
 
2.4%
충남 6
 
2.1%
충북 6
 
2.1%
천호동 6
 
2.1%
성내동 5
 
1.7%
경남 4
 
1.4%
보령시 4
 
1.4%
899-2 4
 
1.4%
Other values (169) 216
74.7%
2024-05-03T20:35:47.788671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
18.5%
1 58
 
4.9%
동 57
 
4.8%
- 53
 
4.5%
2 46
 
3.9%
4 37
 
3.1%
구 31
 
2.6%
남 26
 
2.2%
강 25
 
2.1%
리 25
 
2.1%
Other values (118) 613
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 636
53.4%
Decimal Number 268
22.5%
Space Separator 220
 
18.5%
Dash Punctuation 53
 
4.5%
Close Punctuation 7
 
0.6%
Uppercase Letter 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
 
9.0%
구 31
 
4.9%
남 26
 
4.1%
강 25
 
3.9%
리 25
 
3.9%
시 23
 
3.6%
경 21
 
3.3%
면 20
 
3.1%
서 18
 
2.8%
성 17
 
2.7%
Other values (103) 373
58.6%
Decimal Number
ValueCountFrequency (%)
1 58
21.6%
2 46
17.2%
4 37
13.8%
8 25
9.3%
3 24
9.0%
9 21
 
7.8%
7 17
 
6.3%
6 16
 
6.0%
5 13
 
4.9%
0 11
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
P 4
57.1%
F 3
42.9%
Space Separator
ValueCountFrequency (%)
220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 636
53.4%
Common 548
46.0%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
 
9.0%
구 31
 
4.9%
남 26
 
4.1%
강 25
 
3.9%
리 25
 
3.9%
시 23
 
3.6%
경 21
 
3.3%
면 20
 
3.1%
서 18
 
2.8%
성 17
 
2.7%
Other values (103) 373
58.6%
Common
ValueCountFrequency (%)
220
40.1%
1 58
 
10.6%
- 53
 
9.7%
2 46
 
8.4%
4 37
 
6.8%
8 25
 
4.6%
3 24
 
4.4%
9 21
 
3.8%
7 17
 
3.1%
6 16
 
2.9%
Other values (3) 31
 
5.7%
Latin
ValueCountFrequency (%)
P 4
57.1%
F 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 636
53.4%
ASCII 555
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
39.6%
1 58
 
10.5%
- 53
 
9.5%
2 46
 
8.3%
4 37
 
6.7%
8 25
 
4.5%
3 24
 
4.3%
9 21
 
3.8%
7 17
 
3.1%
6 16
 
2.9%
Other values (5) 38
 
6.8%
Hangul
ValueCountFrequency (%)
동 57
 
9.0%
구 31
 
4.9%
남 26
 
4.1%
강 25
 
3.9%
리 25
 
3.9%
시 23
 
3.6%
경 21
 
3.3%
면 20
 
3.1%
서 18
 
2.8%
성 17
 
2.7%
Other values (103) 373
58.6%

부적합항목
Text

MISSING 

Distinct7
Distinct (%)63.6%
Missing5067
Missing (%)99.8%
Memory size39.8 KiB
2024-05-03T20:35:48.159722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.8181818
Min length2

Characters and Unicode

Total characters42
Distinct characters24
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 (%)45.5%

Sample

1st row대장균
2nd row한우확인시험
3rd row산가
4th row리놀렌산
5th row총질소
ValueCountFrequency (%)
리놀렌산 3
27.3%
조단백질 3
27.3%
대장균 1
 
9.1%
한우확인시험 1
 
9.1%
산가 1
 
9.1%
총질소 1
 
9.1%
제랄레논 1
 
9.1%
2024-05-03T20:35:49.088111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 4
 
9.5%
질 4
 
9.5%
리 3
 
7.1%
렌 3
 
7.1%
조 3
 
7.1%
단 3
 
7.1%
백 3
 
7.1%
놀 3
 
7.1%
험 1
 
2.4%
레 1
 
2.4%
Other values (14) 14
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 4
 
9.5%
질 4
 
9.5%
리 3
 
7.1%
렌 3
 
7.1%
조 3
 
7.1%
단 3
 
7.1%
백 3
 
7.1%
놀 3
 
7.1%
험 1
 
2.4%
레 1
 
2.4%
Other values (14) 14
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 4
 
9.5%
질 4
 
9.5%
리 3
 
7.1%
렌 3
 
7.1%
조 3
 
7.1%
단 3
 
7.1%
백 3
 
7.1%
놀 3
 
7.1%
험 1
 
2.4%
레 1
 
2.4%
Other values (14) 14
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 4
 
9.5%
질 4
 
9.5%
리 3
 
7.1%
렌 3
 
7.1%
조 3
 
7.1%
단 3
 
7.1%
백 3
 
7.1%
놀 3
 
7.1%
험 1
 
2.4%
레 1
 
2.4%
Other values (14) 14
33.3%

기준치부적합내용
Text

MISSING 

Distinct8
Distinct (%)88.9%
Missing5069
Missing (%)99.8%
Memory size39.8 KiB
2024-05-03T20:35:49.541985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length12.444444
Min length6

Characters and Unicode

Total characters112
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

Unique7 ?
Unique (%)77.8%

Sample

1st row대장균 양성
2nd row6.0 검출(기준치 5.0)
3rd row2.5검출(기준치 0.5)
4th row기준:0.5이상 결과:0.4
5th row0.8검출(기준치 0.5)
ValueCountFrequency (%)
표시량의 2
11.8%
80%이상 2
11.8%
0.5 2
11.8%
대장균 1
 
5.9%
양성 1
 
5.9%
6.0 1
 
5.9%
검출(기준치 1
 
5.9%
5.0 1
 
5.9%
2.5검출(기준치 1
 
5.9%
기준:0.5이상 1
 
5.9%
Other values (4) 4
23.5%
2024-05-03T20:35:50.578585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11
 
9.8%
. 10
 
8.9%
8
 
7.1%
5 6
 
5.4%
% 5
 
4.5%
기 5
 
4.5%
준 5
 
4.5%
이 5
 
4.5%
상 4
 
3.6%
8 4
 
3.6%
Other values (26) 49
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52
46.4%
Decimal Number 26
23.2%
Other Punctuation 18
 
16.1%
Space Separator 8
 
7.1%
Close Punctuation 4
 
3.6%
Open Punctuation 4
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 5
 
9.6%
준 5
 
9.6%
이 5
 
9.6%
상 4
 
7.7%
검 3
 
5.8%
치 3
 
5.8%
시 3
 
5.8%
표 3
 
5.8%
출 3
 
5.8%
의 3
 
5.8%
Other values (13) 15
28.8%
Decimal Number
ValueCountFrequency (%)
0 11
42.3%
5 6
23.1%
8 4
 
15.4%
2 2
 
7.7%
6 1
 
3.8%
4 1
 
3.8%
1 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
% 5
27.8%
: 3
 
16.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
53.6%
Hangul 52
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 5
 
9.6%
준 5
 
9.6%
이 5
 
9.6%
상 4
 
7.7%
검 3
 
5.8%
치 3
 
5.8%
시 3
 
5.8%
표 3
 
5.8%
출 3
 
5.8%
의 3
 
5.8%
Other values (13) 15
28.8%
Common
ValueCountFrequency (%)
0 11
18.3%
. 10
16.7%
8
13.3%
5 6
10.0%
% 5
8.3%
8 4
 
6.7%
) 4
 
6.7%
( 4
 
6.7%
: 3
 
5.0%
2 2
 
3.3%
Other values (3) 3
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
53.6%
Hangul 52
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11
18.3%
. 10
16.7%
8
13.3%
5 6
10.0%
% 5
8.3%
8 4
 
6.7%
) 4
 
6.7%
( 4
 
6.7%
: 3
 
5.0%
2 2
 
3.3%
Other values (3) 3
 
5.0%
Hangul
ValueCountFrequency (%)
기 5
 
9.6%
준 5
 
9.6%
이 5
 
9.6%
상 4
 
7.7%
검 3
 
5.8%
치 3
 
5.8%
시 3
 
5.8%
표 3
 
5.8%
출 3
 
5.8%
의 3
 
5.8%
Other values (13) 15
28.8%

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
03240000101일반음식점7<NA>주,야간 민원처리<NA>식중독5-1검사용해남식당G0100000100000조리식품 등조리식품 등해물탕<NA><NA><NA>201805281.0600g<NA>20180528<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220180528201806111<NA><NA><NA><NA><NA><NA>19810120103<NA><NA><NA><NA><NA>서울특별시 강동구 천호대로155길 18, (천호동)서울특별시 강동구 천호동 454번지 20호02 4762418위생점검(전체)20180528수시<NA>2<NA><NA><NA><NA>
13240000101일반음식점7<NA>주,야간 민원처리<NA>식중독5-2검사용해남식당G0200000100000접객용 음용수접객용 음용수음용수<NA><NA><NA>201805281.01LT<NA>20180528<NA><NA><NA>냉장<NA><NA>1<NA>국내<NA>220180528201806111<NA><NA><NA><NA><NA><NA>19810120103<NA><NA><NA><NA><NA>서울특별시 강동구 천호대로155길 18, (천호동)서울특별시 강동구 천호동 454번지 20호02 4762418위생점검(전체)20180528수시<NA>2<NA><NA><NA><NA>
23240000101일반음식점<NA><NA><NA>한우(유전자)수거검사지도10-10검사용한신가121000000식육류중육류소고기등심<NA><NA>한신가201310101.0100g<NA>20131010<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>19840120084<NA><NA><NA><NA><NA>서울특별시 강동구 성안로3길 127, (성내동)서울특별시 강동구 성내동 456번지 2호02 4744544<NA>20131223<NA><NA><NA><NA><NA><NA><NA>
33240000101일반음식점7<NA>주,야간 민원처리<NA>19-민8-1검사용(주)이연에프엔씨지점 한촌G0100000100000조리식품 등조리식품 등매운갈비찜<NA><NA><NA>201908261.0100g<NA>20190826<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>19850120057<NA><NA><NA><NA><NA>서울특별시 강동구 천호대로 1110, (성내동)서울특별시 강동구 성내동 199번지 23호02 4708800위생점검(전체)20190826수시<NA>1<NA><NA><NA><NA>
43240000101일반음식점<NA><NA><NA><NA>위생지도-6<NA>윤서방한우정육점121000000식육류중육류<NA>쇠고기/식육<NA><NA><NA>201112061.0300g<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국내<NA>120111206201112121<NA><NA><NA><NA><NA><NA>19860120053<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 453번지 10호02 488 2461수거20111206수시<NA>1<NA><NA><NA><NA>
53240000101일반음식점<NA><NA><NA><NA><NA><NA>디오니스<NA><NA>생맥주<NA><NA><NA>201007281000.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>19870120123<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 319번지 10호02 4809466수거20100729수시<NA>1<NA><NA><NA><NA>
63240000101일반음식점2<NA>봄철 식중독예방 및 가격표시제 조기정착을 위한 식품접객업소 지도점검계획<NA>지도-5-7검사용동래복집600000000식품접객업수족관물수족관물<NA><NA><NA>201305231.01LT<NA>20130523<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>19880120027<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 387번지 15호02 4883708위생점검(전체)20130523수시<NA>1<NA><NA><NA><NA>
73240000101일반음식점2<NA>봄철 식중독예방 및 가격표시제 조기정착을 위한 식품접객업소 지도점검계획<NA>지도-5-8검사용동래복집600000000식품접객업기타칼<NA><NA><NA>20130523<NA><NA><NA>수송배지3개20130523<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>19880120027<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 387번지 15호02 4883708위생점검(전체)20130523수시<NA>1<NA><NA><NA><NA>
83240000101일반음식점2<NA>봄철 식중독예방 및 가격표시제 조기정착을 위한 식품접객업소 지도점검계획<NA>수거-5-9검사용동래복집600000000식품접객업기타도마<NA><NA><NA>20130523<NA><NA><NA>수송배지3개20130523<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>19880120027<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 387번지 15호02 4883708위생점검(전체)20130523수시<NA>1<NA><NA><NA><NA>
93240000101일반음식점2<NA>봄철 식중독예방 및 가격표시제 조기정착을 위한 식품접객업소 지도점검계획<NA>지도-5-10검사용동래복집600000000식품접객업기타행주<NA><NA><NA>20130523<NA><NA><NA>1개20130523<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA>19880120027<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 387번지 15호02 4883708위생점검(전체)20130523수시<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
50683240000134건강기능식품일반판매업<NA><NA><NA>2017년 건강기능식품 수거검사계획강동4-24-1검사용길동마임E0201600000000오메가-3 지방산 함유 유지오메가-3 지방산 함유 유지키즈 식물성오메가3 츄어블<NA><NA><NA>20170424<NA><NA><NA>1,100mg x 60캡슐 x 4개<NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120170425201706151<NA><NA><NA><NA><NA><NA>20110120852<NA><NA><NA><NA><NA>서울특별시 강동구 양재대로 1508, 2층 202호 (길동)서울특별시 강동구 길동 348번지 5호 2층-20202 488 7720<NA>20170424<NA><NA><NA><NA><NA><NA><NA>
50693240000134건강기능식품일반판매업<NA><NA><NA>2017년 건강기능식품 수거검사계획강동11-22-01검사용홈플러스강동정관장E0200200000000홍삼홍삼홍백작<NA><NA><NA>20171122<NA><NA><NA>50ml x 30포 = 1500ml<NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120171122201712221<NA><NA><NA><NA><NA><NA>20110121155<NA><NA><NA><NA><NA>서울특별시 강동구 양재대로 1571, 지하2층 (천호동, 강동홈플러스)서울특별시 강동구 천호동 42번지02 34712304<NA>20171122<NA><NA><NA><NA><NA><NA><NA>
50703240000134건강기능식품일반판매업<NA><NA><NA>2017년 건강기능식품 수거검사계획강동11-22-02검사용홈플러스강동정관장E0200200000000홍삼홍삼홍삼정타브렛<NA><NA><NA>20171122<NA><NA><NA>2 X (500mg x 240정 = 120g)<NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120171122201712221<NA><NA><NA><NA><NA><NA>20110121155<NA><NA><NA><NA><NA>서울특별시 강동구 양재대로 1571, 지하2층 (천호동, 강동홈플러스)서울특별시 강동구 천호동 42번지02 34712304<NA>20171122<NA><NA><NA><NA><NA><NA><NA>
50713240000134건강기능식품일반판매업<NA><NA><NA>2017년 건강기능식품 수거검사계획강동4-24-12검사용(주)엘앤에스와이(L&SY)E0101500000000칼슘칼슘닥터칼슘플러스<NA><NA><NA>20170424<NA><NA><NA>600mg x 120캡슐 x 3box<NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120170425201706151<NA><NA><NA><NA><NA><NA>20140120128<NA><NA><NA><NA><NA>서울특별시 강동구 천호대로159길 13, (천호동)서울특별시 강동구 천호동 453번지 10호 1층<NA><NA>20170424<NA><NA><NA><NA><NA><NA><NA>
50723240000134건강기능식품일반판매업<NA><NA><NA>2017년 건강기능식품 수거검사계획강동4-24-11검사용(주)엘앤에스와이(L&SY)X0100002700000비타민및무기질(또는미네랄)비타민및무기질(또는미네랄)닥터맘스Ⅰ<NA><NA><NA>20170424<NA><NA><NA>550mg x 120정 x 4box<NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120170425201706151<NA><NA><NA><NA><NA><NA>20140120128<NA><NA><NA><NA><NA>서울특별시 강동구 천호대로159길 13, (천호동)서울특별시 강동구 천호동 453번지 10호 1층<NA><NA>20170424<NA><NA><NA><NA><NA><NA><NA>
50733240000134건강기능식품일반판매업<NA><NA><NA>2017년 건강기능식품 수거검사계획강동4-24-10검사용(주)엘앤에스와이(L&SY)X0100017800000비타민/무기질비타민/무기질닥터맘스Ⅱ<NA><NA><NA>20170424<NA><NA><NA>550mg x 120정 x 4box<NA><NA><NA><NA>실온<NA><NA>1<NA>국내<NA>120170425201706151<NA><NA><NA><NA><NA><NA>20140120128<NA><NA><NA><NA><NA>서울특별시 강동구 천호대로159길 13, (천호동)서울특별시 강동구 천호동 453번지 10호 1층<NA><NA>20170424<NA><NA><NA><NA><NA><NA><NA>
50743240000134건강기능식품일반판매업999<NA>2019년 건강기능식품판매업소 지도점검<NA>강동-08-29검사용이천일아울렛천호점X0100026600000유산균함유제품유산균함유제품얼라이브프로바이오틱스<NA><NA><NA>201908204.060g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20140120851<NA><NA><NA><NA><NA>서울특별시 강동구 구천면로 189, 지하1층 (천호동)서울특별시 강동구 천호동 563번지 지하1층02 22246666위생점검(전체)20190820수시<NA>1<NA><NA><NA><NA>
50753240000134건강기능식품일반판매업999<NA>2019년 건강기능식품판매업소 지도점검<NA>강동-08-28검사용이천일아울렛천호점X0100026600000유산균함유제품유산균함유제품바이오장유산균<NA><NA><NA>201908204.060g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20140120851<NA><NA><NA><NA><NA>서울특별시 강동구 구천면로 189, 지하1층 (천호동)서울특별시 강동구 천호동 563번지 지하1층02 22246666위생점검(전체)20190820수시<NA>1<NA><NA><NA><NA>
50763240000134건강기능식품일반판매업<NA><NA><NA><NA>2016-4-9검사용(주)세흥허브E0202500000000가르시니아캄보지아 추출물가르시니아캄보지아 추출물나타시오환<NA><NA><NA>20160422100.09g<NA>20151012<NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150120025<NA><NA><NA><NA><NA>서울특별시 강동구 상암로4길 16, 5층 (암사동, 동경빌딩)서울특별시 강동구 암사동 515번지 20호 동경빌딩 5층02 487 8994<NA>20160524<NA><NA><NA><NA><NA><NA><NA>
50773240000134건강기능식품일반판매업999<NA>2019년 건강기능식품판매업소 지도점검<NA>강동-08-30검사용씨제이올리브네트웍스(주)천호현대점X0100006500000감마리놀렌산/비타민E함유제품감마리놀렌산/비타민E함유제품달맞이꽃종자유<NA><NA><NA>201908202.0100.8g<NA><NA><NA><NA><NA>실온<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>20150120973<NA><NA><NA><NA><NA>서울특별시 강동구 올림픽로 664, 113호 (천호동, 대우한강베네시티 114.115호)서울특별시 강동구 천호동 425번지 5호 대우한강베네시티 113-115호<NA>위생점검(전체)20190820수시<NA>1<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드업종코드업종명계획구분코드지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과수거품처리교부번호폐기일자폐기량(Kg)폐기금액(원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용# duplicates
263240000120위탁급식영업<NA><NA><NA><NA><NA>포석정-배재고등학교<NA><NA>음용수<NA><NA><NA>200709071.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20070120591<NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 313번지02 4427052<NA>20071116<NA><NA><NA><NA><NA><NA>4
163240000114기타식품판매업<NA><NA><NA><NA><NA>삼성테스코(주)홈플러스강동점828000000건포류조미건어포류조미쥐치포<NA><NA><NA>201005263.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20080120841<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42번지 0호 지하2층02 34008120<NA>20101019<NA><NA><NA><NA><NA><NA>3
233240000114기타식품판매업<NA><NA><NA><NA><NA>이천일아울렛천호점420000000용기류용기류중 식물섬유제 (한시적기준.규격)친환경생분해성용기<NA><NA><NA>200910131.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20060120394<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 563번지02 4262001<NA>20091013<NA><NA><NA><NA><NA><NA>3
03240000106식품제조가공업<NA><NA><NA><NA><NA>덕산식품217000000김치?절임식품배추김치포기김치<NA><NA><NA>200801231.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20030121436<NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 480번지 1호02 4813011위생점검(전체)20080121수시1<NA><NA><NA><NA>2
13240000106식품제조가공업<NA><NA><NA><NA><NA>화평식품813000000두부류또는묵류두부두부<NA><NA><NA>201005191.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>19940121023<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 18번지 63호02 475 3745<NA>20101019<NA><NA><NA><NA><NA><NA>2
23240000107즉석판매제조가공업<NA><NA><NA><NA><NA>양평방앗간814000000식용유지류참기름참기름<NA><NA><NA>201010141.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>2<NA><NA>19990121268<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 399번지 21호02 4830046수거20101014수시2<NA><NA><NA><NA>2
33240000109식품소분업<NA><NA><NA><NA><NA>한결219000000건포류조미건어포류맥반석오징어<NA><NA><NA>2009021715.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20000120895<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 323번지 3호02 483 8671위생점검(전체)20090217수시1<NA><NA><NA><NA>2
43240000112식품자동판매기영업<NA><NA><NA><NA><NA>형제수퍼817000000커피인스턴트커피자판기커피<NA><NA><NA>201011011.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20090120561<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 355번지 3호02 472 7579위생점검(전체)20101101기타1<NA><NA><NA><NA>2
53240000114기타식품판매업<NA><NA><NA><NA><NA>(주)신세계이마트명일점203000000아이스크림제품류빙과류썬키스트<NA><NA><NA>200807156.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20020121231<NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 46번지 4호<NA>수거20080715수시1<NA><NA><NA><NA>2
63240000114기타식품판매업<NA><NA><NA><NA><NA>(주)신세계이마트명일점824000000젓갈류액젓청정원 까나리액젓<NA><NA><NA>200910206.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>국외<NA><NA><NA><NA>1<NA><NA>20020121231<NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 46번지 4호<NA>수거20091020기타1<NA><NA><NA><NA>2