Overview

Dataset statistics

Number of variables61
Number of observations5850
Missing cells162759
Missing cells (%)45.6%
Duplicate rows17
Duplicate rows (%)0.3%
Total size in memory2.9 MiB
Average record size in memory518.0 B

Variable types

Categorical18
Numeric11
Unsupported14
Text18

Dataset

Description시군구코드,업종코드,업종명,계획구분코드,계획구분명,지도점검계획,수거계획,수거증번호,수거사유코드,업소명,식품군코드,식품군,품목명,제품명,음식물명,원료명,생산업소,수거일자,수거량(정량),제품규격(정량),단위(정량),수거량(자유),제조일자(일자),제조일자(롯트),유통기한(일자),유통기한(제조일기준),보관상태코드,바코드번호,어린이기호식품유형,검사기관명,(구)제조사명,내외국산,국가명,검사구분,검사의뢰일자,결과회보일자,판정구분,처리구분,수거검사구분코드,단속지역구분코드,수거장소구분코드,처리결과,수거품처리,교부번호,폐기일자,폐기량(kg),폐기금액(원),폐기장소,폐기방법,소재지(도로명),소재지(지번),업소전화번호,점검목적,점검일자,점검구분,점검내용,점검결과코드,(구)제조유통기한,(구)제조회사주소,부적합항목,기준치부적합내용
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-11147/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
Dataset has 17 (0.3%) duplicate rowsDuplicates
업종명 is highly imbalanced (64.1%)Imbalance
계획구분코드 is highly imbalanced (60.3%)Imbalance
지도점검계획 is highly imbalanced (55.5%)Imbalance
수거계획 is highly imbalanced (65.1%)Imbalance
제조일자(롯트) is highly imbalanced (97.5%)Imbalance
어린이기호식품유형 is highly imbalanced (96.1%)Imbalance
검사기관명 is highly imbalanced (69.3%)Imbalance
국가명 is highly imbalanced (84.3%)Imbalance
계획구분명 has 5850 (100.0%) missing valuesMissing
수거증번호 has 1358 (23.2%) missing valuesMissing
식품군코드 has 67 (1.1%) missing valuesMissing
식품군 has 873 (14.9%) missing valuesMissing
품목명 has 185 (3.2%) missing valuesMissing
음식물명 has 5774 (98.7%) missing valuesMissing
원료명 has 5835 (99.7%) missing valuesMissing
생산업소 has 5605 (95.8%) missing valuesMissing
수거량(정량) has 223 (3.8%) missing valuesMissing
제품규격(정량) has 1581 (27.0%) missing valuesMissing
수거량(자유) has 5627 (96.2%) missing valuesMissing
제조일자(일자) has 4948 (84.6%) missing valuesMissing
유통기한(일자) has 5637 (96.4%) missing valuesMissing
유통기한(제조일기준) has 5669 (96.9%) missing valuesMissing
바코드번호 has 5850 (100.0%) missing valuesMissing
(구)제조사명 has 5265 (90.0%) missing valuesMissing
검사의뢰일자 has 3655 (62.5%) missing valuesMissing
결과회보일자 has 4462 (76.3%) missing valuesMissing
처리구분 has 5850 (100.0%) missing valuesMissing
수거검사구분코드 has 5850 (100.0%) missing valuesMissing
단속지역구분코드 has 5850 (100.0%) missing valuesMissing
수거장소구분코드 has 5850 (100.0%) missing valuesMissing
처리결과 has 5845 (99.9%) missing valuesMissing
수거품처리 has 5850 (100.0%) missing valuesMissing
폐기일자 has 5850 (100.0%) missing valuesMissing
폐기량(kg) has 5850 (100.0%) missing valuesMissing
폐기금액(원) has 5850 (100.0%) missing valuesMissing
폐기장소 has 5850 (100.0%) missing valuesMissing
폐기방법 has 5850 (100.0%) missing valuesMissing
소재지(도로명) has 281 (4.8%) missing valuesMissing
소재지(지번) has 545 (9.3%) missing valuesMissing
업소전화번호 has 603 (10.3%) missing valuesMissing
점검내용 has 5850 (100.0%) missing valuesMissing
(구)제조유통기한 has 5637 (96.4%) missing valuesMissing
(구)제조회사주소 has 5336 (91.2%) missing valuesMissing
부적합항목 has 5848 (> 99.9%) missing valuesMissing
기준치부적합내용 has 5850 (100.0%) missing valuesMissing
수거량(정량) is highly skewed (γ1 = 56.90253174)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
수거품처리 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기량(kg) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기금액(원) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기장소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기방법 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준치부적합내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 22:29:04.470365
Analysis finished2024-05-10 22:29:10.415760
Duration5.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
3070000
5850 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 5850
100.0%

Length

2024-05-10T22:29:10.591523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:11.074423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 5850
100.0%

업종코드
Real number (ℝ)

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.02838
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:11.299217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation4.953214
Coefficient of variation (CV)0.043822748
Kurtosis6.8139336
Mean113.02838
Median Absolute Deviation (MAD)0
Skewness0.86079546
Sum661216
Variance24.534329
MonotonicityNot monotonic
2024-05-10T22:29:11.579722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
114 4618
78.9%
101 241
 
4.1%
105 215
 
3.7%
107 187
 
3.2%
106 156
 
2.7%
134 139
 
2.4%
104 116
 
2.0%
120 55
 
0.9%
112 41
 
0.7%
110 32
 
0.5%
Other values (5) 50
 
0.9%
ValueCountFrequency (%)
101 241
4.1%
104 116
2.0%
105 215
3.7%
106 156
2.7%
107 187
3.2%
109 3
 
0.1%
110 32
 
0.5%
111 3
 
0.1%
112 41
 
0.7%
113 12
 
0.2%
ValueCountFrequency (%)
134 139
 
2.4%
122 13
 
0.2%
121 19
 
0.3%
120 55
 
0.9%
114 4618
78.9%
113 12
 
0.2%
112 41
 
0.7%
111 3
 
0.1%
110 32
 
0.5%
109 3
 
0.1%

업종명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
기타식품판매업
4618 
일반음식점
 
241
집단급식소
 
215
즉석판매제조가공업
 
187
식품제조가공업
 
156
Other values (10)
 
433

Length

Max length11
Median length7
Mean length6.9781197
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 4618
78.9%
일반음식점 241
 
4.1%
집단급식소 215
 
3.7%
즉석판매제조가공업 187
 
3.2%
식품제조가공업 156
 
2.7%
건강기능식품일반판매업 139
 
2.4%
휴게음식점 116
 
2.0%
위탁급식영업 55
 
0.9%
식품자동판매기영업 41
 
0.7%
식품등 수입판매업 32
 
0.5%
Other values (5) 50
 
0.9%

Length

2024-05-10T22:29:11.895087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 4618
78.5%
일반음식점 241
 
4.1%
집단급식소 215
 
3.7%
즉석판매제조가공업 187
 
3.2%
식품제조가공업 156
 
2.7%
건강기능식품일반판매업 139
 
2.4%
휴게음식점 116
 
2.0%
위탁급식영업 55
 
0.9%
식품자동판매기영업 41
 
0.7%
식품등 32
 
0.5%
Other values (6) 82
 
1.4%

계획구분코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
<NA>
3614 
999
2190 
8
 
22
2
 
17
1
 
5

Length

Max length4
Median length4
Mean length3.6020513
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3614
61.8%
999 2190
37.4%
8 22
 
0.4%
2 17
 
0.3%
1 5
 
0.1%
7 2
 
< 0.1%

Length

2024-05-10T22:29:12.273021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:12.634140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3614
61.8%
999 2190
37.4%
8 22
 
0.4%
2 17
 
0.3%
1 5
 
0.1%
7 2
 
< 0.1%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

지도점검계획
Categorical

IMBALANCE 

Distinct34
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
<NA>
3614 
2012년 성북구 가공식품 안전 업무 계획
512 
기타 일상단속
444 
기타일상단속
 
291
시군구-기타일상단속
 
170
Other values (29)
819 

Length

Max length37
Median length4
Mean length7.7158974
Min length4

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row2024년도 기타일상단속
3rd row2024년도 기타일상단속
4th row2024년도 기타일상단속
5th row2024년도 기타일상단속

Common Values

ValueCountFrequency (%)
<NA> 3614
61.8%
2012년 성북구 가공식품 안전 업무 계획 512
 
8.8%
기타 일상단속 444
 
7.6%
기타일상단속 291
 
5.0%
시군구-기타일상단속 170
 
2.9%
시설점검 165
 
2.8%
2013년 성북구 가공식품 안전관리 업무계획 159
 
2.7%
2024년도 기타일상단속 121
 
2.1%
2023년도 기타 일상단속 92
 
1.6%
시군구-기타 일상단속 75
 
1.3%
Other values (24) 207
 
3.5%

Length

2024-05-10T22:29:13.019548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3614
34.4%
가공식품 734
 
7.0%
성북구 671
 
6.4%
일상단속 611
 
5.8%
계획 582
 
5.5%
기타 552
 
5.3%
안전 512
 
4.9%
업무 512
 
4.9%
2012년 512
 
4.9%
기타일상단속 412
 
3.9%
Other values (61) 1794
17.1%

수거계획
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
<NA>
4618 
2015년 성북구가공식품 안전 업무계획
479 
2017년 가공식품 안전업무계획
 
268
가공식품 수거검사
 
143
2016년 성북구 가공식품 안전업무 계획
 
122
Other values (8)
 
220

Length

Max length23
Median length4
Mean length6.9252991
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4618
78.9%
2015년 성북구가공식품 안전 업무계획 479
 
8.2%
2017년 가공식품 안전업무계획 268
 
4.6%
가공식품 수거검사 143
 
2.4%
2016년 성북구 가공식품 안전업무 계획 122
 
2.1%
2015년 식중독 예방관리 종합계획 66
 
1.1%
식품 방사능 측정 수거검사 46
 
0.8%
2020년 식품안전관리계획 31
 
0.5%
기타 일상수거검사 30
 
0.5%
식중독 유사증상 식품 등 수거검사 20
 
0.3%
Other values (3) 27
 
0.5%

Length

2024-05-10T22:29:13.396151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4618
51.3%
2015년 545
 
6.0%
가공식품 540
 
6.0%
안전 486
 
5.4%
성북구가공식품 479
 
5.3%
업무계획 479
 
5.3%
2017년 268
 
3.0%
안전업무계획 268
 
3.0%
수거검사 229
 
2.5%
성북구 129
 
1.4%
Other values (22) 969
 
10.8%

수거증번호
Text

MISSING 

Distinct2781
Distinct (%)61.9%
Missing1358
Missing (%)23.2%
Memory size45.8 KiB
2024-05-10T22:29:14.089608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9.277382
Min length4

Characters and Unicode

Total characters41674
Distinct characters70
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1884 ?
Unique (%)41.9%

Sample

1st row108-식-148
2nd row108-식-147
3rd row108-식-146
4th row108-식-145
5th row108-식-144
ValueCountFrequency (%)
108-07-02 8
 
0.2%
108-07-01 8
 
0.2%
108-11-12 7
 
0.2%
108-10-14 7
 
0.2%
108-10-09 7
 
0.2%
108-11-06 7
 
0.2%
108-11-09 7
 
0.2%
108-11-10 7
 
0.2%
108-10-15 7
 
0.2%
108-11-11 7
 
0.2%
Other values (2771) 4421
98.4%
2024-05-10T22:29:15.285157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9831
23.6%
- 8943
21.5%
1 8882
21.3%
8 5231
12.6%
2 1686
 
4.0%
3 1552
 
3.7%
5 1163
 
2.8%
4 1082
 
2.6%
9 902
 
2.2%
7 808
 
1.9%
Other values (60) 1594
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31933
76.6%
Dash Punctuation 8943
 
21.5%
Other Letter 751
 
1.8%
Lowercase Letter 16
 
< 0.1%
Open Punctuation 15
 
< 0.1%
Close Punctuation 15
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 180
24.0%
안 82
10.9%
방 80
10.7%
건 69
 
9.2%
유 44
 
5.9%
ㅡ 38
 
5.1%
북 38
 
5.1%
성 38
 
5.1%
수 17
 
2.3%
입 17
 
2.3%
Other values (44) 148
19.7%
Decimal Number
ValueCountFrequency (%)
0 9831
30.8%
1 8882
27.8%
8 5231
16.4%
2 1686
 
5.3%
3 1552
 
4.9%
5 1163
 
3.6%
4 1082
 
3.4%
9 902
 
2.8%
7 808
 
2.5%
6 796
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
a 15
93.8%
b 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 8943
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40907
98.2%
Hangul 751
 
1.8%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 180
24.0%
안 82
10.9%
방 80
10.7%
건 69
 
9.2%
유 44
 
5.9%
ㅡ 38
 
5.1%
북 38
 
5.1%
성 38
 
5.1%
수 17
 
2.3%
입 17
 
2.3%
Other values (44) 148
19.7%
Common
ValueCountFrequency (%)
0 9831
24.0%
- 8943
21.9%
1 8882
21.7%
8 5231
12.8%
2 1686
 
4.1%
3 1552
 
3.8%
5 1163
 
2.8%
4 1082
 
2.6%
9 902
 
2.2%
7 808
 
2.0%
Other values (4) 827
 
2.0%
Latin
ValueCountFrequency (%)
a 15
93.8%
b 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40923
98.2%
Hangul 713
 
1.7%
Compat Jamo 38
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9831
24.0%
- 8943
21.9%
1 8882
21.7%
8 5231
12.8%
2 1686
 
4.1%
3 1552
 
3.8%
5 1163
 
2.8%
4 1082
 
2.6%
9 902
 
2.2%
7 808
 
2.0%
Other values (6) 843
 
2.1%
Hangul
ValueCountFrequency (%)
식 180
25.2%
안 82
11.5%
방 80
11.2%
건 69
 
9.7%
유 44
 
6.2%
북 38
 
5.3%
성 38
 
5.3%
수 17
 
2.4%
입 17
 
2.4%
설 11
 
1.5%
Other values (43) 137
19.2%
Compat Jamo
ValueCountFrequency (%)
ㅡ 38
100.0%

수거사유코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
검사용
3796 
<NA>
1826 
기타
 
213
증거용
 
15

Length

Max length4
Median length3
Mean length3.2757265
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 3796
64.9%
<NA> 1826
31.2%
기타 213
 
3.6%
증거용 15
 
0.3%

Length

2024-05-10T22:29:15.746642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:16.074236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 3796
64.9%
na 1826
31.2%
기타 213
 
3.6%
증거용 15
 
0.3%

업소명
Text

Distinct453
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
2024-05-10T22:29:16.545165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length8.6815385
Min length2

Characters and Unicode

Total characters50787
Distinct characters462
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

Unique199 ?
Unique (%)3.4%

Sample

1st row제일소비자유통
2nd row반디유치원
3rd row반디유치원
4th row반디유치원
5th row반디유치원
ValueCountFrequency (%)
홈플러스(주)월곡점 399
 
5.6%
롯데쇼핑(주 298
 
4.2%
롯데슈퍼 298
 
4.2%
이마트미아점 290
 
4.0%
롯데쇼핑(주)롯데마켓999하월곡점 216
 
3.0%
제일소비자유통 215
 
3.0%
종암점 210
 
2.9%
수협바다마트 199
 
2.8%
동소문점 186
 
2.6%
하이웨이마트월곡점 170
 
2.4%
Other values (489) 4687
65.4%
2024-05-10T22:29:17.441034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 2985
 
5.9%
점 2745
 
5.4%
트 2645
 
5.2%
주 2361
 
4.6%
( 2309
 
4.5%
) 2309
 
4.5%
1318
 
2.6%
월 1254
 
2.5%
곡 1137
 
2.2%
이 1108
 
2.2%
Other values (452) 30616
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43730
86.1%
Open Punctuation 2309
 
4.5%
Close Punctuation 2309
 
4.5%
Space Separator 1318
 
2.6%
Decimal Number 790
 
1.6%
Uppercase Letter 167
 
0.3%
Lowercase Letter 121
 
0.2%
Other Punctuation 38
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 2985
 
6.8%
점 2745
 
6.3%
트 2645
 
6.0%
주 2361
 
5.4%
월 1254
 
2.9%
곡 1137
 
2.6%
이 1108
 
2.5%
데 1044
 
2.4%
롯 1044
 
2.4%
스 1000
 
2.3%
Other values (400) 26407
60.4%
Uppercase Letter
ValueCountFrequency (%)
S 36
21.6%
K 27
16.2%
G 25
15.0%
L 23
13.8%
J 21
12.6%
I 4
 
2.4%
D 3
 
1.8%
A 3
 
1.8%
E 3
 
1.8%
O 3
 
1.8%
Other values (10) 19
11.4%
Lowercase Letter
ValueCountFrequency (%)
a 18
14.9%
m 15
12.4%
o 12
9.9%
p 12
9.9%
e 10
8.3%
c 8
 
6.6%
f 7
 
5.8%
r 6
 
5.0%
k 5
 
4.1%
n 5
 
4.1%
Other values (8) 23
19.0%
Decimal Number
ValueCountFrequency (%)
9 648
82.0%
2 63
 
8.0%
4 61
 
7.7%
1 9
 
1.1%
3 4
 
0.5%
7 3
 
0.4%
5 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 20
52.6%
; 12
31.6%
/ 6
 
15.8%
Open Punctuation
ValueCountFrequency (%)
( 2309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2309
100.0%
Space Separator
ValueCountFrequency (%)
1318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43724
86.1%
Common 6769
 
13.3%
Latin 288
 
0.6%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 2985
 
6.8%
점 2745
 
6.3%
트 2645
 
6.0%
주 2361
 
5.4%
월 1254
 
2.9%
곡 1137
 
2.6%
이 1108
 
2.5%
데 1044
 
2.4%
롯 1044
 
2.4%
스 1000
 
2.3%
Other values (399) 26401
60.4%
Latin
ValueCountFrequency (%)
S 36
12.5%
K 27
 
9.4%
G 25
 
8.7%
L 23
 
8.0%
J 21
 
7.3%
a 18
 
6.2%
m 15
 
5.2%
o 12
 
4.2%
p 12
 
4.2%
e 10
 
3.5%
Other values (28) 89
30.9%
Common
ValueCountFrequency (%)
( 2309
34.1%
) 2309
34.1%
1318
19.5%
9 648
 
9.6%
2 63
 
0.9%
4 61
 
0.9%
& 20
 
0.3%
; 12
 
0.2%
1 9
 
0.1%
/ 6
 
0.1%
Other values (4) 14
 
0.2%
Han
ValueCountFrequency (%)
愛 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43724
86.1%
ASCII 7057
 
13.9%
CJK 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 2985
 
6.8%
점 2745
 
6.3%
트 2645
 
6.0%
주 2361
 
5.4%
월 1254
 
2.9%
곡 1137
 
2.6%
이 1108
 
2.5%
데 1044
 
2.4%
롯 1044
 
2.4%
스 1000
 
2.3%
Other values (399) 26401
60.4%
ASCII
ValueCountFrequency (%)
( 2309
32.7%
) 2309
32.7%
1318
18.7%
9 648
 
9.2%
2 63
 
0.9%
4 61
 
0.9%
S 36
 
0.5%
K 27
 
0.4%
G 25
 
0.4%
L 23
 
0.3%
Other values (42) 238
 
3.4%
CJK
ValueCountFrequency (%)
愛 6
100.0%

식품군코드
Text

MISSING 

Distinct421
Distinct (%)7.3%
Missing67
Missing (%)1.1%
Memory size45.8 KiB
2024-05-10T22:29:17.958361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length10.750821
Min length1

Characters and Unicode

Total characters62172
Distinct characters22
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

Unique138 ?
Unique (%)2.4%

Sample

1st row899000000
2nd rowG0400000200000
3rd rowF0500000100000
4th rowF0500000100000
5th rowF0500000100000
ValueCountFrequency (%)
c01000000 488
 
8.7%
821000000 477
 
8.5%
829000000 290
 
5.2%
801000000 284
 
5.1%
830000000 183
 
3.3%
814000000 174
 
3.1%
815000000 172
 
3.1%
g0100000100000 145
 
2.6%
816000000 107
 
1.9%
600000000 105
 
1.9%
Other values (409) 3166
56.6%
2024-05-10T22:29:18.856925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42406
68.2%
1 5430
 
8.7%
2 3012
 
4.8%
8 2914
 
4.7%
C 2217
 
3.6%
3 1840
 
3.0%
1326
 
2.1%
9 730
 
1.2%
4 561
 
0.9%
5 475
 
0.8%
Other values (12) 1261
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58119
93.5%
Uppercase Letter 2727
 
4.4%
Space Separator 1326
 
2.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 2217
81.3%
G 247
 
9.1%
E 83
 
3.0%
B 63
 
2.3%
F 35
 
1.3%
D 23
 
0.8%
Z 20
 
0.7%
A 16
 
0.6%
H 14
 
0.5%
X 8
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 42406
73.0%
1 5430
 
9.3%
2 3012
 
5.2%
8 2914
 
5.0%
3 1840
 
3.2%
9 730
 
1.3%
4 561
 
1.0%
5 475
 
0.8%
6 401
 
0.7%
7 350
 
0.6%
Space Separator
ValueCountFrequency (%)
1326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59445
95.6%
Latin 2727
 
4.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42406
71.3%
1 5430
 
9.1%
2 3012
 
5.1%
8 2914
 
4.9%
3 1840
 
3.1%
1326
 
2.2%
9 730
 
1.2%
4 561
 
0.9%
5 475
 
0.8%
6 401
 
0.7%
Latin
ValueCountFrequency (%)
C 2217
81.3%
G 247
 
9.1%
E 83
 
3.0%
B 63
 
2.3%
F 35
 
1.3%
D 23
 
0.8%
Z 20
 
0.7%
A 16
 
0.6%
H 14
 
0.5%
X 8
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42406
68.2%
1 5430
 
8.7%
2 3012
 
4.8%
8 2914
 
4.7%
C 2217
 
3.6%
3 1840
 
3.0%
1326
 
2.1%
9 730
 
1.2%
4 561
 
0.9%
5 475
 
0.8%
Other values (12) 1261
 
2.0%

식품군
Text

MISSING 

Distinct316
Distinct (%)6.3%
Missing873
Missing (%)14.9%
Memory size45.8 KiB
2024-05-10T22:29:19.522849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length19
Mean length4.7179024
Min length1

Characters and Unicode

Total characters23481
Distinct characters325
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

Unique104 ?
Unique (%)2.1%

Sample

1st row축산물가공품
2nd row식품용수
3rd row금속제
4th row금속제
5th row금속제
ValueCountFrequency (%)
조미식품 532
 
9.5%
과자류 343
 
6.1%
기타식품류 299
 
5.3%
규격외일반가공식품 185
 
3.3%
면류 184
 
3.3%
식용유지류 179
 
3.2%
등 159
 
2.8%
조리식품 149
 
2.7%
또는 135
 
2.4%
음료류 119
 
2.1%
Other values (339) 3330
59.3%
2024-05-10T22:29:20.523738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 2612
 
11.1%
품 1999
 
8.5%
식 1819
 
7.7%
조 865
 
3.7%
가 810
 
3.4%
공 763
 
3.2%
637
 
2.7%
미 592
 
2.5%
과 547
 
2.3%
기 533
 
2.3%
Other values (315) 12304
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22559
96.1%
Space Separator 637
 
2.7%
Other Punctuation 139
 
0.6%
Open Punctuation 46
 
0.2%
Close Punctuation 46
 
0.2%
Uppercase Letter 23
 
0.1%
Lowercase Letter 21
 
0.1%
Dash Punctuation 5
 
< 0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 2612
 
11.6%
품 1999
 
8.9%
식 1819
 
8.1%
조 865
 
3.8%
가 810
 
3.6%
공 763
 
3.4%
미 592
 
2.6%
과 547
 
2.4%
기 533
 
2.4%
타 453
 
2.0%
Other values (280) 11566
51.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
14.3%
l 3
14.3%
m 2
9.5%
t 2
9.5%
y 2
9.5%
h 2
9.5%
n 2
9.5%
s 1
 
4.8%
u 1
 
4.8%
f 1
 
4.8%
Other values (2) 2
9.5%
Uppercase Letter
ValueCountFrequency (%)
D 6
26.1%
C 4
17.4%
B 3
13.0%
A 2
 
8.7%
M 2
 
8.7%
L 2
 
8.7%
P 1
 
4.3%
E 1
 
4.3%
H 1
 
4.3%
S 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 74
53.2%
, 53
38.1%
/ 8
 
5.8%
？ 2
 
1.4%
? 2
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
3 1
20.0%
2 1
20.0%
6 1
20.0%
Space Separator
ValueCountFrequency (%)
637
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22559
96.1%
Common 878
 
3.7%
Latin 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 2612
 
11.6%
품 1999
 
8.9%
식 1819
 
8.1%
조 865
 
3.8%
가 810
 
3.6%
공 763
 
3.4%
미 592
 
2.6%
과 547
 
2.4%
기 533
 
2.4%
타 453
 
2.0%
Other values (280) 11566
51.3%
Latin
ValueCountFrequency (%)
D 6
 
13.6%
C 4
 
9.1%
e 3
 
6.8%
l 3
 
6.8%
B 3
 
6.8%
A 2
 
4.5%
m 2
 
4.5%
t 2
 
4.5%
y 2
 
4.5%
h 2
 
4.5%
Other values (12) 15
34.1%
Common
ValueCountFrequency (%)
637
72.6%
. 74
 
8.4%
, 53
 
6.0%
( 46
 
5.2%
) 46
 
5.2%
/ 8
 
0.9%
- 5
 
0.6%
1 2
 
0.2%
？ 2
 
0.2%
? 2
 
0.2%
Other values (3) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22559
96.1%
ASCII 920
 
3.9%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 2612
 
11.6%
품 1999
 
8.9%
식 1819
 
8.1%
조 865
 
3.8%
가 810
 
3.6%
공 763
 
3.4%
미 592
 
2.6%
과 547
 
2.4%
기 533
 
2.4%
타 453
 
2.0%
Other values (280) 11566
51.3%
ASCII
ValueCountFrequency (%)
637
69.2%
. 74
 
8.0%
, 53
 
5.8%
( 46
 
5.0%
) 46
 
5.0%
/ 8
 
0.9%
D 6
 
0.7%
- 5
 
0.5%
C 4
 
0.4%
e 3
 
0.3%
Other values (24) 38
 
4.1%
None
ValueCountFrequency (%)
？ 2
100.0%

품목명
Text

MISSING 

Distinct411
Distinct (%)7.3%
Missing185
Missing (%)3.2%
Memory size45.8 KiB
2024-05-10T22:29:21.048299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length19
Mean length4.7848191
Min length1

Characters and Unicode

Total characters27106
Distinct characters383
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

Unique143 ?
Unique (%)2.5%

Sample

1st row버터류
2nd row식품용수
3rd row금속제
4th row금속제
5th row금속제
ValueCountFrequency (%)
소스류 302
 
4.5%
조리식품 289
 
4.3%
등 284
 
4.2%
과자 254
 
3.8%
캔디류 177
 
2.6%
즉석조리식품 165
 
2.4%
초콜릿가공품 146
 
2.2%
복합조미식품 132
 
2.0%
기타가공품 119
 
1.8%
곡류가공품 116
 
1.7%
Other values (434) 4760
70.6%
2024-05-10T22:29:22.172975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 1527
 
5.6%
류 1267
 
4.7%
1079
 
4.0%
식 1044
 
3.9%
조 971
 
3.6%
가 956
 
3.5%
공 778
 
2.9%
기 750
 
2.8%
리 691
 
2.5%
소 682
 
2.5%
Other values (373) 17361
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25141
92.8%
Space Separator 1079
 
4.0%
Other Punctuation 278
 
1.0%
Close Punctuation 257
 
0.9%
Open Punctuation 257
 
0.9%
Uppercase Letter 57
 
0.2%
Lowercase Letter 21
 
0.1%
Dash Punctuation 8
 
< 0.1%
Decimal Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 1527
 
6.1%
류 1267
 
5.0%
식 1044
 
4.2%
조 971
 
3.9%
가 956
 
3.8%
공 778
 
3.1%
기 750
 
3.0%
리 691
 
2.7%
소 682
 
2.7%
스 605
 
2.4%
Other values (336) 15870
63.1%
Lowercase Letter
ValueCountFrequency (%)
l 3
14.3%
e 3
14.3%
y 2
9.5%
m 2
9.5%
t 2
9.5%
h 2
9.5%
n 2
9.5%
a 1
 
4.8%
o 1
 
4.8%
f 1
 
4.8%
Other values (2) 2
9.5%
Uppercase Letter
ValueCountFrequency (%)
C 22
38.6%
D 11
19.3%
E 8
 
14.0%
B 5
 
8.8%
L 4
 
7.0%
A 2
 
3.5%
M 2
 
3.5%
S 1
 
1.8%
H 1
 
1.8%
P 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 171
61.5%
, 91
32.7%
/ 8
 
2.9%
？ 5
 
1.8%
? 2
 
0.7%
' 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 2
25.0%
5 1
 
12.5%
3 1
 
12.5%
6 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1079
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25141
92.8%
Common 1887
 
7.0%
Latin 78
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 1527
 
6.1%
류 1267
 
5.0%
식 1044
 
4.2%
조 971
 
3.9%
가 956
 
3.8%
공 778
 
3.1%
기 750
 
3.0%
리 691
 
2.7%
소 682
 
2.7%
스 605
 
2.4%
Other values (336) 15870
63.1%
Latin
ValueCountFrequency (%)
C 22
28.2%
D 11
14.1%
E 8
 
10.3%
B 5
 
6.4%
L 4
 
5.1%
l 3
 
3.8%
e 3
 
3.8%
A 2
 
2.6%
y 2
 
2.6%
m 2
 
2.6%
Other values (12) 16
20.5%
Common
ValueCountFrequency (%)
1079
57.2%
) 257
 
13.6%
( 257
 
13.6%
. 171
 
9.1%
, 91
 
4.8%
/ 8
 
0.4%
- 8
 
0.4%
？ 5
 
0.3%
1 3
 
0.2%
2 2
 
0.1%
Other values (5) 6
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25141
92.8%
ASCII 1960
 
7.2%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 1527
 
6.1%
류 1267
 
5.0%
식 1044
 
4.2%
조 971
 
3.9%
가 956
 
3.8%
공 778
 
3.1%
기 750
 
3.0%
리 691
 
2.7%
소 682
 
2.7%
스 605
 
2.4%
Other values (336) 15870
63.1%
ASCII
ValueCountFrequency (%)
1079
55.1%
) 257
 
13.1%
( 257
 
13.1%
. 171
 
8.7%
, 91
 
4.6%
C 22
 
1.1%
D 11
 
0.6%
/ 8
 
0.4%
- 8
 
0.4%
E 8
 
0.4%
Other values (26) 48
 
2.4%
None
ValueCountFrequency (%)
？ 5
100.0%

제품명
Text

Distinct4704
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
2024-05-10T22:29:22.893739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length48
Mean length8.5974359
Min length1

Characters and Unicode

Total characters50295
Distinct characters937
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4075 ?
Unique (%)69.7%

Sample

1st row스커피 땅콩버터 크리미
2nd row음용수
3rd row도마
4th row칼
5th row공통반 책상
ValueCountFrequency (%)
청정원 80
 
0.9%
오뚜기 52
 
0.6%
참기름 38
 
0.4%
sauce 35
 
0.4%
들기름 33
 
0.4%
소스 31
 
0.4%
두부 24
 
0.3%
3분 23
 
0.3%
유기농 22
 
0.3%
커피 22
 
0.3%
Other values (5479) 8433
95.9%
2024-05-10T22:29:24.246864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2944
 
5.9%
스 1024
 
2.0%
리 800
 
1.6%
기 755
 
1.5%
이 725
 
1.4%
) 699
 
1.4%
( 698
 
1.4%
0 666
 
1.3%
고 538
 
1.1%
1 514
 
1.0%
Other values (927) 40932
81.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37467
74.5%
Uppercase Letter 5156
 
10.3%
Space Separator 2944
 
5.9%
Decimal Number 2199
 
4.4%
Close Punctuation 700
 
1.4%
Open Punctuation 699
 
1.4%
Dash Punctuation 502
 
1.0%
Lowercase Letter 391
 
0.8%
Other Punctuation 221
 
0.4%
Math Symbol 12
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1024
 
2.7%
리 800
 
2.1%
기 755
 
2.0%
이 725
 
1.9%
고 538
 
1.4%
오 490
 
1.3%
가 471
 
1.3%
소 468
 
1.2%
드 436
 
1.2%
마 424
 
1.1%
Other values (843) 31336
83.6%
Uppercase Letter
ValueCountFrequency (%)
E 500
 
9.7%
A 452
 
8.8%
O 408
 
7.9%
I 386
 
7.5%
S 351
 
6.8%
C 334
 
6.5%
R 334
 
6.5%
T 306
 
5.9%
N 275
 
5.3%
L 261
 
5.1%
Other values (16) 1549
30.0%
Lowercase Letter
ValueCountFrequency (%)
a 51
13.0%
m 47
12.0%
p 40
10.2%
e 36
9.2%
i 33
 
8.4%
o 23
 
5.9%
l 21
 
5.4%
r 21
 
5.4%
s 20
 
5.1%
g 16
 
4.1%
Other values (15) 83
21.2%
Other Punctuation
ValueCountFrequency (%)
. 59
26.7%
& 39
17.6%
; 34
15.4%
% 29
13.1%
, 25
11.3%
' 14
 
6.3%
？ 11
 
5.0%
/ 5
 
2.3%
! 2
 
0.9%
? 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 666
30.3%
1 514
23.4%
8 304
13.8%
3 209
 
9.5%
2 144
 
6.5%
5 118
 
5.4%
4 79
 
3.6%
7 77
 
3.5%
6 58
 
2.6%
9 30
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 699
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 698
99.9%
[ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 11
91.7%
~ 1
 
8.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Other Number
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%
Space Separator
ValueCountFrequency (%)
2944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 502
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37458
74.5%
Common 7279
 
14.5%
Latin 5549
 
11.0%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1024
 
2.7%
리 800
 
2.1%
기 755
 
2.0%
이 725
 
1.9%
고 538
 
1.4%
오 490
 
1.3%
가 471
 
1.3%
소 468
 
1.2%
드 436
 
1.2%
마 424
 
1.1%
Other values (836) 31327
83.6%
Latin
ValueCountFrequency (%)
E 500
 
9.0%
A 452
 
8.1%
O 408
 
7.4%
I 386
 
7.0%
S 351
 
6.3%
C 334
 
6.0%
R 334
 
6.0%
T 306
 
5.5%
N 275
 
5.0%
L 261
 
4.7%
Other values (43) 1942
35.0%
Common
ValueCountFrequency (%)
2944
40.4%
) 699
 
9.6%
( 698
 
9.6%
0 666
 
9.1%
1 514
 
7.1%
- 502
 
6.9%
8 304
 
4.2%
3 209
 
2.9%
2 144
 
2.0%
5 118
 
1.6%
Other values (21) 481
 
6.6%
Han
ValueCountFrequency (%)
愛 3
33.3%
茶 1
 
11.1%
進 1
 
11.1%
金 1
 
11.1%
鋪 1
 
11.1%
藥 1
 
11.1%
酒 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37458
74.5%
ASCII 12813
 
25.5%
None 11
 
< 0.1%
CJK 9
 
< 0.1%
Number Forms 2
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2944
23.0%
) 699
 
5.5%
( 698
 
5.4%
0 666
 
5.2%
1 514
 
4.0%
- 502
 
3.9%
E 500
 
3.9%
A 452
 
3.5%
O 408
 
3.2%
I 386
 
3.0%
Other values (69) 5044
39.4%
Hangul
ValueCountFrequency (%)
스 1024
 
2.7%
리 800
 
2.1%
기 755
 
2.0%
이 725
 
1.9%
고 538
 
1.4%
오 490
 
1.3%
가 471
 
1.3%
소 468
 
1.2%
드 436
 
1.2%
마 424
 
1.1%
Other values (836) 31327
83.6%
None
ValueCountFrequency (%)
？ 11
100.0%
CJK
ValueCountFrequency (%)
愛 3
33.3%
茶 1
 
11.1%
進 1
 
11.1%
金 1
 
11.1%
鋪 1
 
11.1%
藥 1
 
11.1%
酒 1
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%

음식물명
Text

MISSING 

Distinct65
Distinct (%)85.5%
Missing5774
Missing (%)98.7%
Memory size45.8 KiB
2024-05-10T22:29:24.816897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length8.7631579
Min length1

Characters and Unicode

Total characters666
Distinct characters137
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

Unique58 ?
Unique (%)76.3%

Sample

1st row코다리강정
2nd row건새우볶음
3rd row크리스피 치킨
4th row세발나물무침
5th row돌나물초무침
ValueCountFrequency (%)
석식 12
 
10.7%
중식 12
 
10.7%
조식 11
 
9.8%
조리식품 6
 
5.4%
행주 2
 
1.8%
콩국물 2
 
1.8%
물 2
 
1.8%
육회 2
 
1.8%
원료식육 2
 
1.8%
맛김치(7.15일 2
 
1.8%
Other values (58) 59
52.7%
2024-05-10T22:29:25.822440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 45
 
6.8%
( 40
 
6.0%
) 40
 
6.0%
일 36
 
5.4%
36
 
5.4%
1 35
 
5.3%
. 35
 
5.3%
7 35
 
5.3%
5 23
 
3.5%
조 19
 
2.9%
Other values (127) 322
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
61.3%
Decimal Number 105
 
15.8%
Open Punctuation 40
 
6.0%
Close Punctuation 40
 
6.0%
Other Punctuation 37
 
5.6%
Space Separator 36
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 45
 
11.0%
일 36
 
8.8%
조 19
 
4.7%
리 12
 
2.9%
중 12
 
2.9%
육 12
 
2.9%
석 12
 
2.9%
물 11
 
2.7%
수 9
 
2.2%
칼 7
 
1.7%
Other values (118) 233
57.1%
Decimal Number
ValueCountFrequency (%)
1 35
33.3%
7 35
33.3%
5 23
21.9%
4 12
 
11.4%
Other Punctuation
ValueCountFrequency (%)
. 35
94.6%
/ 2
 
5.4%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
61.3%
Common 258
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 45
 
11.0%
일 36
 
8.8%
조 19
 
4.7%
리 12
 
2.9%
중 12
 
2.9%
육 12
 
2.9%
석 12
 
2.9%
물 11
 
2.7%
수 9
 
2.2%
칼 7
 
1.7%
Other values (118) 233
57.1%
Common
ValueCountFrequency (%)
( 40
15.5%
) 40
15.5%
36
14.0%
1 35
13.6%
. 35
13.6%
7 35
13.6%
5 23
8.9%
4 12
 
4.7%
/ 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
61.3%
ASCII 258
38.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 45
 
11.0%
일 36
 
8.8%
조 19
 
4.7%
리 12
 
2.9%
중 12
 
2.9%
육 12
 
2.9%
석 12
 
2.9%
물 11
 
2.7%
수 9
 
2.2%
칼 7
 
1.7%
Other values (118) 233
57.1%
ASCII
ValueCountFrequency (%)
( 40
15.5%
) 40
15.5%
36
14.0%
1 35
13.6%
. 35
13.6%
7 35
13.6%
5 23
8.9%
4 12
 
4.7%
/ 2
 
0.8%

원료명
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing5835
Missing (%)99.7%
Memory size45.8 KiB
2024-05-10T22:29:26.157715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.4
Min length1

Characters and Unicode

Total characters36
Distinct characters25
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)80.0%

Sample

1st row광어
2nd row방어
3rd row우럭
4th row코다리
5th row새우
ValueCountFrequency (%)
콩 3
20.0%
광어 1
 
6.7%
방어 1
 
6.7%
우럭 1
 
6.7%
코다리 1
 
6.7%
새우 1
 
6.7%
콩(대두 1
 
6.7%
커피 1
 
6.7%
대두분 1
 
6.7%
옥수수 1
 
6.7%
Other values (3) 3
20.0%
2024-05-10T22:29:26.961126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
콩 4
 
11.1%
두 3
 
8.3%
어 2
 
5.6%
피 2
 
5.6%
우 2
 
5.6%
수 2
 
5.6%
대 2
 
5.6%
커 2
 
5.6%
c 1
 
2.8%
민 1
 
2.8%
Other values (15) 15
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
91.7%
Lowercase Letter 1
 
2.8%
Close Punctuation 1
 
2.8%
Open Punctuation 1
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
콩 4
 
12.1%
두 3
 
9.1%
어 2
 
6.1%
피 2
 
6.1%
우 2
 
6.1%
수 2
 
6.1%
대 2
 
6.1%
커 2
 
6.1%
민 1
 
3.0%
타 1
 
3.0%
Other values (12) 12
36.4%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
91.7%
Common 2
 
5.6%
Latin 1
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
콩 4
 
12.1%
두 3
 
9.1%
어 2
 
6.1%
피 2
 
6.1%
우 2
 
6.1%
수 2
 
6.1%
대 2
 
6.1%
커 2
 
6.1%
민 1
 
3.0%
타 1
 
3.0%
Other values (12) 12
36.4%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%
Latin
ValueCountFrequency (%)
c 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
91.7%
ASCII 3
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
콩 4
 
12.1%
두 3
 
9.1%
어 2
 
6.1%
피 2
 
6.1%
우 2
 
6.1%
수 2
 
6.1%
대 2
 
6.1%
커 2
 
6.1%
민 1
 
3.0%
타 1
 
3.0%
Other values (12) 12
36.4%
ASCII
ValueCountFrequency (%)
c 1
33.3%
) 1
33.3%
( 1
33.3%

생산업소
Text

MISSING 

Distinct166
Distinct (%)67.8%
Missing5605
Missing (%)95.8%
Memory size45.8 KiB
2024-05-10T22:29:27.415805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length11.820408
Min length2

Characters and Unicode

Total characters2896
Distinct characters288
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

Unique137 ?
Unique (%)55.9%

Sample

1st row스타벅스 한성대입구역점
2nd row바르다김선생 한성대역점
3rd row이디야 길음역점
4th row빽다방 길음역점
5th row투썸플레이스한성대입구역점
ValueCountFrequency (%)
주식회사 25
 
6.3%
엘케이알앤비(초밥좋은날 13
 
3.3%
엘케이알앤비 11
 
2.8%
초밥좋은날 11
 
2.8%
동해바다 10
 
2.5%
롯데리아 7
 
1.8%
서울정릉초등학교 6
 
1.5%
food 6
 
1.5%
일흥방앗간 5
 
1.3%
대한 5
 
1.3%
Other values (214) 296
74.9%
2024-05-10T22:29:28.300260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
5.2%
O 80
 
2.8%
A 68
 
2.3%
S 59
 
2.0%
I 58
 
2.0%
C 56
 
1.9%
o 55
 
1.9%
E 53
 
1.8%
R 53
 
1.8%
L 53
 
1.8%
Other values (278) 2211
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1244
43.0%
Uppercase Letter 843
29.1%
Lowercase Letter 498
17.2%
Space Separator 150
 
5.2%
Other Punctuation 63
 
2.2%
Open Punctuation 35
 
1.2%
Close Punctuation 35
 
1.2%
Decimal Number 22
 
0.8%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 40
 
3.2%
사 39
 
3.1%
식 39
 
3.1%
주 38
 
3.1%
점 36
 
2.9%
밥 31
 
2.5%
초 31
 
2.5%
회 28
 
2.3%
앤 27
 
2.2%
비 26
 
2.1%
Other values (215) 909
73.1%
Uppercase Letter
ValueCountFrequency (%)
O 80
 
9.5%
A 68
 
8.1%
S 59
 
7.0%
I 58
 
6.9%
C 56
 
6.6%
E 53
 
6.3%
R 53
 
6.3%
L 53
 
6.3%
T 50
 
5.9%
N 47
 
5.6%
Other values (14) 266
31.6%
Lowercase Letter
ValueCountFrequency (%)
o 55
11.0%
a 52
10.4%
e 51
10.2%
s 41
 
8.2%
i 37
 
7.4%
p 35
 
7.0%
l 29
 
5.8%
n 28
 
5.6%
m 25
 
5.0%
c 23
 
4.6%
Other values (13) 122
24.5%
Decimal Number
ValueCountFrequency (%)
2 5
22.7%
1 4
18.2%
8 4
18.2%
9 3
13.6%
0 3
13.6%
3 2
 
9.1%
4 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 26
41.3%
; 17
27.0%
& 11
17.5%
/ 6
 
9.5%
, 3
 
4.8%
Space Separator
ValueCountFrequency (%)
150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1341
46.3%
Hangul 1244
43.0%
Common 311
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 40
 
3.2%
사 39
 
3.1%
식 39
 
3.1%
주 38
 
3.1%
점 36
 
2.9%
밥 31
 
2.5%
초 31
 
2.5%
회 28
 
2.3%
앤 27
 
2.2%
비 26
 
2.1%
Other values (215) 909
73.1%
Latin
ValueCountFrequency (%)
O 80
 
6.0%
A 68
 
5.1%
S 59
 
4.4%
I 58
 
4.3%
C 56
 
4.2%
o 55
 
4.1%
E 53
 
4.0%
R 53
 
4.0%
L 53
 
4.0%
a 52
 
3.9%
Other values (37) 754
56.2%
Common
ValueCountFrequency (%)
150
48.2%
( 35
 
11.3%
) 35
 
11.3%
. 26
 
8.4%
; 17
 
5.5%
& 11
 
3.5%
/ 6
 
1.9%
- 6
 
1.9%
2 5
 
1.6%
1 4
 
1.3%
Other values (6) 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1652
57.0%
Hangul 1244
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
 
9.1%
O 80
 
4.8%
A 68
 
4.1%
S 59
 
3.6%
I 58
 
3.5%
C 56
 
3.4%
o 55
 
3.3%
E 53
 
3.2%
R 53
 
3.2%
L 53
 
3.2%
Other values (53) 967
58.5%
Hangul
ValueCountFrequency (%)
이 40
 
3.2%
사 39
 
3.1%
식 39
 
3.1%
주 38
 
3.1%
점 36
 
2.9%
밥 31
 
2.5%
초 31
 
2.5%
회 28
 
2.3%
앤 27
 
2.2%
비 26
 
2.1%
Other values (215) 909
73.1%

수거일자
Real number (ℝ)

Distinct362
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20145552
Minimum20001109
Maximum22091113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:28.759630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001109
5-th percentile20090914
Q120110315
median20131105
Q320180382
95-th percentile20230727
Maximum22091113
Range2090004
Interquartile range (IQR)70066.75

Descriptive statistics

Standard deviation50464.65
Coefficient of variation (CV)0.0025050021
Kurtosis376.32921
Mean20145552
Median Absolute Deviation (MAD)30190
Skewness10.059256
Sum1.1785148 × 1011
Variance2.5466809 × 109
MonotonicityDecreasing
2024-05-10T22:29:29.279460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110315 124
 
2.1%
20151013 104
 
1.8%
20151020 101
 
1.7%
20131105 88
 
1.5%
20101213 85
 
1.5%
20121114 78
 
1.3%
20180523 75
 
1.3%
20120104 72
 
1.2%
20110812 70
 
1.2%
20101130 68
 
1.2%
Other values (352) 4985
85.2%
ValueCountFrequency (%)
20001109 1
< 0.1%
20010308 1
< 0.1%
20010323 1
< 0.1%
20010917 1
< 0.1%
20010926 1
< 0.1%
20011107 1
< 0.1%
20011108 1
< 0.1%
20011120 1
< 0.1%
20020308 1
< 0.1%
20020509 1
< 0.1%
ValueCountFrequency (%)
22091113 1
 
< 0.1%
20240308 58
1.0%
20240306 1
 
< 0.1%
20240228 16
 
0.3%
20240227 4
 
0.1%
20240219 12
 
0.2%
20240213 61
1.0%
20240205 5
 
0.1%
20240129 7
 
0.1%
20240123 9
 
0.2%

수거량(정량)
Real number (ℝ)

MISSING  SKEWED 

Distinct70
Distinct (%)1.2%
Missing223
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean10.298418
Minimum0.22
Maximum10000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:29.795113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile1
Q12
median3
Q36
95-th percentile12
Maximum10000
Range9999.78
Interquartile range (IQR)4

Descriptive statistics

Standard deviation148.09752
Coefficient of variation (CV)14.380608
Kurtosis3715.7878
Mean10.298418
Median Absolute Deviation (MAD)2
Skewness56.902532
Sum57949.2
Variance21932.876
MonotonicityNot monotonic
2024-05-10T22:29:30.200754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 1310
22.4%
1.0 1241
21.2%
3.0 847
14.5%
6.0 729
12.5%
4.0 425
 
7.3%
7.0 232
 
4.0%
5.0 193
 
3.3%
8.0 159
 
2.7%
10.0 88
 
1.5%
9.0 83
 
1.4%
Other values (60) 320
 
5.5%
(Missing) 223
 
3.8%
ValueCountFrequency (%)
0.22 1
 
< 0.1%
0.23 1
 
< 0.1%
0.3 3
 
0.1%
0.4 2
 
< 0.1%
0.45 1
 
< 0.1%
0.6 1
 
< 0.1%
1.0 1241
21.2%
1.2 1
 
< 0.1%
1.5 4
 
0.1%
1.8 1
 
< 0.1%
ValueCountFrequency (%)
10000.0 1
 
< 0.1%
2500.0 2
 
< 0.1%
1990.0 1
 
< 0.1%
1050.0 1
 
< 0.1%
700.0 1
 
< 0.1%
630.0 1
 
< 0.1%
600.0 7
0.1%
534.0 1
 
< 0.1%
464.0 1
 
< 0.1%
438.0 1
 
< 0.1%

제품규격(정량)
Text

MISSING 

Distinct498
Distinct (%)11.7%
Missing1581
Missing (%)27.0%
Memory size45.8 KiB
2024-05-10T22:29:30.943383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.8353244
Min length1

Characters and Unicode

Total characters12104
Distinct characters29
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)5.5%

Sample

1st row1
2nd row500
3rd row500
4th row500
5th row500
ValueCountFrequency (%)
500 397
 
9.3%
1 332
 
7.8%
300 249
 
5.8%
600 226
 
5.3%
100 214
 
5.0%
200 177
 
4.1%
400 123
 
2.9%
250 117
 
2.7%
350 73
 
1.7%
900 71
 
1.7%
Other values (478) 2290
53.6%
2024-05-10T22:29:32.034025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4893
40.4%
1 1386
 
11.5%
5 1279
 
10.6%
2 1012
 
8.4%
3 795
 
6.6%
4 615
 
5.1%
6 502
 
4.1%
8 409
 
3.4%
g 320
 
2.6%
9 295
 
2.4%
Other values (19) 598
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11481
94.9%
Lowercase Letter 425
 
3.5%
Other Punctuation 127
 
1.0%
Uppercase Letter 38
 
0.3%
Other Letter 26
 
0.2%
Other Symbol 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4893
42.6%
1 1386
 
12.1%
5 1279
 
11.1%
2 1012
 
8.8%
3 795
 
6.9%
4 615
 
5.4%
6 502
 
4.4%
8 409
 
3.6%
9 295
 
2.6%
7 295
 
2.6%
Other Letter
ValueCountFrequency (%)
개 14
53.8%
리 4
 
15.4%
터 4
 
15.4%
콩 1
 
3.8%
쌀 1
 
3.8%
ㅎ 1
 
3.8%
매 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
g 320
75.3%
l 55
 
12.9%
m 41
 
9.6%
k 8
 
1.9%
i 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
L 16
42.1%
K 12
31.6%
G 8
21.1%
M 2
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 124
97.6%
, 3
 
2.4%
Other Symbol
ValueCountFrequency (%)
㎏ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11615
96.0%
Latin 463
 
3.8%
Hangul 26
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4893
42.1%
1 1386
 
11.9%
5 1279
 
11.0%
2 1012
 
8.7%
3 795
 
6.8%
4 615
 
5.3%
6 502
 
4.3%
8 409
 
3.5%
9 295
 
2.5%
7 295
 
2.5%
Other values (3) 134
 
1.2%
Latin
ValueCountFrequency (%)
g 320
69.1%
l 55
 
11.9%
m 41
 
8.9%
L 16
 
3.5%
K 12
 
2.6%
k 8
 
1.7%
G 8
 
1.7%
M 2
 
0.4%
i 1
 
0.2%
Hangul
ValueCountFrequency (%)
개 14
53.8%
리 4
 
15.4%
터 4
 
15.4%
콩 1
 
3.8%
쌀 1
 
3.8%
ㅎ 1
 
3.8%
매 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12071
99.7%
Hangul 25
 
0.2%
CJK Compat 7
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4893
40.5%
1 1386
 
11.5%
5 1279
 
10.6%
2 1012
 
8.4%
3 795
 
6.6%
4 615
 
5.1%
6 502
 
4.2%
8 409
 
3.4%
g 320
 
2.7%
9 295
 
2.4%
Other values (11) 565
 
4.7%
Hangul
ValueCountFrequency (%)
개 14
56.0%
리 4
 
16.0%
터 4
 
16.0%
콩 1
 
4.0%
쌀 1
 
4.0%
매 1
 
4.0%
CJK Compat
ValueCountFrequency (%)
㎏ 7
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
100.0%

단위(정량)
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
g
2870 
<NA>
2042 
ML
545 
KG
341 
LT
 
51

Length

Max length4
Median length2
Mean length2.2073504
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
g 2870
49.1%
<NA> 2042
34.9%
ML 545
 
9.3%
KG 341
 
5.8%
LT 51
 
0.9%
매 1
 
< 0.1%

Length

2024-05-10T22:29:32.382968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:32.670813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 2870
49.1%
na 2042
34.9%
ml 545
 
9.3%
kg 341
 
5.8%
lt 51
 
0.9%
매 1
 
< 0.1%

수거량(자유)
Text

MISSING 

Distinct70
Distinct (%)31.4%
Missing5627
Missing (%)96.2%
Memory size45.8 KiB
2024-05-10T22:29:33.079122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length3.5201794
Min length2

Characters and Unicode

Total characters785
Distinct characters64
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

Unique47 ?
Unique (%)21.1%

Sample

1st row2개
2nd row2개
3rd row2개
4th row2개
5th row2개
ValueCountFrequency (%)
1인분 42
18.7%
1개 29
 
12.9%
600g 16
 
7.1%
2개 14
 
6.2%
1개*4 13
 
5.8%
100g 9
 
4.0%
키트1 7
 
3.1%
2건 5
 
2.2%
30매 5
 
2.2%
1개(면봉 5
 
2.2%
Other values (58) 80
35.6%
2024-05-10T22:29:33.961834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 140
17.8%
0 114
14.5%
개 90
11.5%
분 42
 
5.4%
인 42
 
5.4%
2 38
 
4.8%
* 34
 
4.3%
g 31
 
3.9%
6 30
 
3.8%
4 21
 
2.7%
Other values (54) 203
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 388
49.4%
Other Letter 288
36.7%
Lowercase Letter 51
 
6.5%
Other Punctuation 34
 
4.3%
Close Punctuation 9
 
1.1%
Open Punctuation 9
 
1.1%
Uppercase Letter 4
 
0.5%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 90
31.2%
분 42
14.6%
인 42
14.6%
매 18
 
6.2%
키 7
 
2.4%
트 7
 
2.4%
건 6
 
2.1%
줄 6
 
2.1%
면 6
 
2.1%
봉 5
 
1.7%
Other values (34) 59
20.5%
Decimal Number
ValueCountFrequency (%)
1 140
36.1%
0 114
29.4%
2 38
 
9.8%
6 30
 
7.7%
4 21
 
5.4%
5 21
 
5.4%
3 20
 
5.2%
8 3
 
0.8%
9 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
g 31
60.8%
m 8
 
15.7%
l 7
 
13.7%
p 3
 
5.9%
t 1
 
2.0%
c 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
* 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 442
56.3%
Hangul 288
36.7%
Latin 55
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 90
31.2%
분 42
14.6%
인 42
14.6%
매 18
 
6.2%
키 7
 
2.4%
트 7
 
2.4%
건 6
 
2.1%
줄 6
 
2.1%
면 6
 
2.1%
봉 5
 
1.7%
Other values (34) 59
20.5%
Common
ValueCountFrequency (%)
1 140
31.7%
0 114
25.8%
2 38
 
8.6%
* 34
 
7.7%
6 30
 
6.8%
4 21
 
4.8%
5 21
 
4.8%
3 20
 
4.5%
) 9
 
2.0%
( 9
 
2.0%
Other values (3) 6
 
1.4%
Latin
ValueCountFrequency (%)
g 31
56.4%
m 8
 
14.5%
l 7
 
12.7%
G 4
 
7.3%
p 3
 
5.5%
t 1
 
1.8%
c 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 497
63.3%
Hangul 288
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 140
28.2%
0 114
22.9%
2 38
 
7.6%
* 34
 
6.8%
g 31
 
6.2%
6 30
 
6.0%
4 21
 
4.2%
5 21
 
4.2%
3 20
 
4.0%
) 9
 
1.8%
Other values (10) 39
 
7.8%
Hangul
ValueCountFrequency (%)
개 90
31.2%
분 42
14.6%
인 42
14.6%
매 18
 
6.2%
키 7
 
2.4%
트 7
 
2.4%
건 6
 
2.1%
줄 6
 
2.1%
면 6
 
2.1%
봉 5
 
1.7%
Other values (34) 59
20.5%

제조일자(일자)
Real number (ℝ)

MISSING 

Distinct324
Distinct (%)35.9%
Missing4948
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean20175411
Minimum20100102
Maximum20240315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:34.368485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100102
5-th percentile20120607
Q120130529
median20170623
Q320210907
95-th percentile20240305
Maximum20240315
Range140213
Interquartile range (IQR)80378

Descriptive statistics

Standard deviation43861.282
Coefficient of variation (CV)0.0021739969
Kurtosis-1.339403
Mean20175411
Median Absolute Deviation (MAD)40100.5
Skewness0.24622207
Sum1.8198221 × 1010
Variance1.923812 × 109
MonotonicityNot monotonic
2024-05-10T22:29:34.845574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121228 33
 
0.6%
20240213 21
 
0.4%
20120928 17
 
0.3%
20130108 16
 
0.3%
20130529 14
 
0.2%
20240307 13
 
0.2%
20170829 13
 
0.2%
20240219 12
 
0.2%
20240305 12
 
0.2%
20240205 12
 
0.2%
Other values (314) 739
 
12.6%
(Missing) 4948
84.6%
ValueCountFrequency (%)
20100102 1
< 0.1%
20101103 1
< 0.1%
20110208 1
< 0.1%
20110409 1
< 0.1%
20110723 2
< 0.1%
20110726 1
< 0.1%
20110811 1
< 0.1%
20110812 1
< 0.1%
20110813 1
< 0.1%
20110928 1
< 0.1%
ValueCountFrequency (%)
20240315 1
 
< 0.1%
20240308 10
0.2%
20240307 13
0.2%
20240306 12
0.2%
20240305 12
0.2%
20240304 11
0.2%
20240227 4
 
0.1%
20240219 12
0.2%
20240215 1
 
< 0.1%
20240213 21
0.4%

제조일자(롯트)
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
<NA>
5812 
표시대상아님
 
13
내용없음
 
11
16시에 수거
 
7
14시 47분에 수거
 
4
Other values (2)
 
3

Length

Max length16
Median length4
Mean length4.0169231
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> 5812
99.4%
표시대상아님 13
 
0.2%
내용없음 11
 
0.2%
16시에 수거 7
 
0.1%
14시 47분에 수거 4
 
0.1%
14시47분에 수거 2
 
< 0.1%
2019-04-11 12:00 1
 
< 0.1%

Length

2024-05-10T22:29:35.339410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:35.929389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5812
99.0%
표시대상아님 13
 
0.2%
수거 13
 
0.2%
내용없음 11
 
0.2%
16시에 7
 
0.1%
14시 4
 
0.1%
47분에 4
 
0.1%
14시47분에 2
 
< 0.1%
2019-04-11 1
 
< 0.1%
12:00 1
 
< 0.1%

유통기한(일자)
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)78.9%
Missing5637
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean20123371
Minimum20100605
Maximum20160718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:36.325964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100605
5-th percentile20110977
Q120120228
median20120805
Q320130324
95-th percentile20140737
Maximum20160718
Range60113
Interquartile range (IQR)10096

Descriptive statistics

Standard deviation9119.8752
Coefficient of variation (CV)0.00045319818
Kurtosis2.1402658
Mean20123371
Median Absolute Deviation (MAD)9302
Skewness0.96442574
Sum4.286278 × 109
Variance83172123
MonotonicityNot monotonic
2024-05-10T22:29:36.808538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111207 7
 
0.1%
20120521 4
 
0.1%
20120607 3
 
0.1%
20121110 3
 
0.1%
20121004 3
 
0.1%
20120525 3
 
0.1%
20120208 3
 
0.1%
20120608 3
 
0.1%
20131004 3
 
0.1%
20130304 3
 
0.1%
Other values (158) 178
 
3.0%
(Missing) 5637
96.4%
ValueCountFrequency (%)
20100605 1
< 0.1%
20110617 1
< 0.1%
20110709 1
< 0.1%
20110714 1
< 0.1%
20110810 1
< 0.1%
20110816 1
< 0.1%
20110818 1
< 0.1%
20110821 1
< 0.1%
20110901 1
< 0.1%
20110909 1
< 0.1%
ValueCountFrequency (%)
20160718 1
< 0.1%
20160630 1
< 0.1%
20151130 1
< 0.1%
20150131 1
< 0.1%
20141130 1
< 0.1%
20141023 1
< 0.1%
20141016 1
< 0.1%
20141012 1
< 0.1%
20140930 1
< 0.1%
20140927 1
< 0.1%

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)80.7%
Missing5669
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean17452776
Minimum0
Maximum20140725
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:37.234965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q120111106
median20120412
Q320121003
95-th percentile20130704
Maximum20140725
Range20140725
Interquartile range (IQR)9897

Descriptive statistics

Standard deviation6842556.8
Coefficient of variation (CV)0.39206122
Kurtosis2.8043608
Mean17452776
Median Absolute Deviation (MAD)9289
Skewness-2.1848307
Sum3.1589525 × 109
Variance4.6820583 × 1013
MonotonicityNot monotonic
2024-05-10T22:29:37.732183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130703 4
 
0.1%
3 3
 
0.1%
20110815 3
 
0.1%
1 3
 
0.1%
90 3
 
0.1%
365 3
 
0.1%
180 2
 
< 0.1%
20120217 2
 
< 0.1%
20120302 2
 
< 0.1%
20111112 2
 
< 0.1%
Other values (136) 154
 
2.6%
(Missing) 5669
96.9%
ValueCountFrequency (%)
0 2
< 0.1%
1 3
0.1%
2 1
 
< 0.1%
3 3
0.1%
7 1
 
< 0.1%
30 1
 
< 0.1%
90 3
0.1%
180 2
< 0.1%
300 1
 
< 0.1%
365 3
0.1%
ValueCountFrequency (%)
20140725 1
 
< 0.1%
20140630 1
 
< 0.1%
20140608 1
 
< 0.1%
20140325 1
 
< 0.1%
20130830 1
 
< 0.1%
20130801 1
 
< 0.1%
20130726 2
< 0.1%
20130724 1
 
< 0.1%
20130704 2
< 0.1%
20130703 4
0.1%

보관상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
실온
3412 
<NA>
1922 
냉장
 
282
기타
 
121
냉동
 
113

Length

Max length4
Median length2
Mean length2.657094
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 3412
58.3%
<NA> 1922
32.9%
냉장 282
 
4.8%
기타 121
 
2.1%
냉동 113
 
1.9%

Length

2024-05-10T22:29:38.271639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:38.707916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 3412
58.3%
na 1922
32.9%
냉장 282
 
4.8%
기타 121
 
2.1%
냉동 113
 
1.9%

바코드번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

어린이기호식품유형
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
<NA>
5780 
초콜릿류
 
23
과자(한과류제외)
 
19
캔디류
 
11
김밥
 
7
Other values (4)
 
10

Length

Max length9
Median length4
Mean length4.0135043
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5780
98.8%
초콜릿류 23
 
0.4%
과자(한과류제외) 19
 
0.3%
캔디류 11
 
0.2%
김밥 7
 
0.1%
어육소시지 4
 
0.1%
햄버거(조리) 3
 
0.1%
빵류 2
 
< 0.1%
샌드위치 1
 
< 0.1%

Length

2024-05-10T22:29:39.122295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:39.502567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5780
98.8%
초콜릿류 23
 
0.4%
과자(한과류제외 19
 
0.3%
캔디류 11
 
0.2%
김밥 7
 
0.1%
어육소시지 4
 
0.1%
햄버거(조리 3
 
0.1%
빵류 2
 
< 0.1%
샌드위치 1
 
< 0.1%

검사기관명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
001
3480 
<NA>
2302 
000
 
58
002
 
2
서울시 보건환경연구원
 
2
Other values (6)
 
6

Length

Max length21
Median length3
Mean length3.4064957
Min length3

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row001
2nd row001
3rd row001
4th row001
5th row001

Common Values

ValueCountFrequency (%)
001 3480
59.5%
<NA> 2302
39.4%
000 58
 
1.0%
002 2
 
< 0.1%
서울시 보건환경연구원 2
 
< 0.1%
보건환경연구원 1
 
< 0.1%
서울시 보건환경연구원 가락농수산물검사소 1
 
< 0.1%
경기도 보건호나경연구원 북부지원장 1
 
< 0.1%
경기도보건환경연구원 1
 
< 0.1%
충청남도보건환경연구원 1
 
< 0.1%

Length

2024-05-10T22:29:40.134600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
001 3480
59.4%
na 2302
39.3%
000 58
 
1.0%
보건환경연구원 5
 
0.1%
서울시 3
 
0.1%
002 2
 
< 0.1%
경기도 2
 
< 0.1%
가락농수산물검사소 1
 
< 0.1%
보건호나경연구원 1
 
< 0.1%
북부지원장 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

(구)제조사명
Text

MISSING 

Distinct254
Distinct (%)43.4%
Missing5265
Missing (%)90.0%
Memory size45.8 KiB
2024-05-10T22:29:40.758651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.8290598
Min length2

Characters and Unicode

Total characters3995
Distinct characters247
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)28.4%

Sample

1st row월드레이(주)
2nd row종근당
3rd row(주)한국인삼공사
4th row우리농산
5th row현대미아점(판매)
ValueCountFrequency (%)
씨제이제일제당(주 57
 
9.5%
대상(주 35
 
5.9%
롯데제과(주 24
 
4.0%
주)오뚜기 18
 
3.0%
한일식품(주 12
 
2.0%
전원식품 11
 
1.8%
주)오리온 11
 
1.8%
하나참치 9
 
1.5%
오뚜기(주 8
 
1.3%
주)롯데햄 7
 
1.2%
Other values (248) 406
67.9%
2024-05-10T22:29:41.952027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 416
 
10.4%
) 403
 
10.1%
( 396
 
9.9%
제 266
 
6.7%
식 184
 
4.6%
품 145
 
3.6%
일 95
 
2.4%
이 80
 
2.0%
오 74
 
1.9%
씨 67
 
1.7%
Other values (237) 1869
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3156
79.0%
Close Punctuation 403
 
10.1%
Open Punctuation 396
 
9.9%
Uppercase Letter 20
 
0.5%
Space Separator 13
 
0.3%
Decimal Number 4
 
0.1%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 416
 
13.2%
제 266
 
8.4%
식 184
 
5.8%
품 145
 
4.6%
일 95
 
3.0%
이 80
 
2.5%
오 74
 
2.3%
씨 67
 
2.1%
당 64
 
2.0%
대 61
 
1.9%
Other values (225) 1704
54.0%
Uppercase Letter
ValueCountFrequency (%)
F 8
40.0%
B 6
30.0%
S 4
20.0%
H 2
 
10.0%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
2 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
f 1
50.0%
s 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 396
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
？ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3156
79.0%
Common 817
 
20.5%
Latin 22
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 416
 
13.2%
제 266
 
8.4%
식 184
 
5.8%
품 145
 
4.6%
일 95
 
3.0%
이 80
 
2.5%
오 74
 
2.3%
씨 67
 
2.1%
당 64
 
2.0%
대 61
 
1.9%
Other values (225) 1704
54.0%
Common
ValueCountFrequency (%)
) 403
49.3%
( 396
48.5%
13
 
1.6%
9 2
 
0.2%
2 2
 
0.2%
？ 1
 
0.1%
Latin
ValueCountFrequency (%)
F 8
36.4%
B 6
27.3%
S 4
18.2%
H 2
 
9.1%
f 1
 
4.5%
s 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3156
79.0%
ASCII 838
 
21.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 416
 
13.2%
제 266
 
8.4%
식 184
 
5.8%
품 145
 
4.6%
일 95
 
3.0%
이 80
 
2.5%
오 74
 
2.3%
씨 67
 
2.1%
당 64
 
2.0%
대 61
 
1.9%
Other values (225) 1704
54.0%
ASCII
ValueCountFrequency (%)
) 403
48.1%
( 396
47.3%
13
 
1.6%
F 8
 
1.0%
B 6
 
0.7%
S 4
 
0.5%
9 2
 
0.2%
H 2
 
0.2%
2 2
 
0.2%
f 1
 
0.1%
None
ValueCountFrequency (%)
？ 1
100.0%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
국내
3929 
국외
1921 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 3929
67.2%
국외 1921
32.8%

Length

2024-05-10T22:29:42.359663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:42.671275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 3929
67.2%
국외 1921
32.8%

국가명
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
<NA>
5287 
중국
 
111
미국
 
106
일본
 
57
이탈리아
 
38
Other values (35)
 
251

Length

Max length6
Median length4
Mean length3.8646154
Min length2

Unique

Unique12 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5287
90.4%
중국 111
 
1.9%
미국 106
 
1.8%
일본 57
 
1.0%
이탈리아 38
 
0.6%
태국 31
 
0.5%
베트남 28
 
0.5%
캐나다 26
 
0.4%
독일 26
 
0.4%
스페인 20
 
0.3%
Other values (30) 120
 
2.1%

Length

2024-05-10T22:29:43.061445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5287
90.2%
중국 116
 
2.0%
미국 106
 
1.8%
일본 57
 
1.0%
이탈리아 38
 
0.6%
태국 31
 
0.5%
베트남 28
 
0.5%
캐나다 26
 
0.4%
독일 26
 
0.4%
스페인 20
 
0.3%
Other values (31) 125
 
2.1%

검사구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
<NA>
3043 
1
2353 
2
454 

Length

Max length4
Median length4
Mean length2.5605128
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3043
52.0%
1 2353
40.2%
2 454
 
7.8%

Length

2024-05-10T22:29:43.501067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:43.855516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3043
52.0%
1 2353
40.2%
2 454
 
7.8%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)6.4%
Missing3655
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean20179827
Minimum20100622
Maximum20240308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:44.212339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100622
5-th percentile20110315
Q120170261
median20180912
Q320210310
95-th percentile20240213
Maximum20240308
Range139686
Interquartile range (IQR)40049.5

Descriptive statistics

Standard deviation41308.513
Coefficient of variation (CV)0.0020470201
Kurtosis-0.73193162
Mean20179827
Median Absolute Deviation (MAD)20492
Skewness-0.52574324
Sum4.4294721 × 1010
Variance1.7063932 × 109
MonotonicityNot monotonic
2024-05-10T22:29:44.628560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110315 124
 
2.1%
20180524 75
 
1.3%
20180130 67
 
1.1%
20240213 61
 
1.0%
20180316 58
 
1.0%
20240308 58
 
1.0%
20111116 56
 
1.0%
20111207 56
 
1.0%
20170926 52
 
0.9%
20170601 51
 
0.9%
Other values (131) 1537
26.3%
(Missing) 3655
62.5%
ValueCountFrequency (%)
20100622 4
 
0.1%
20100706 2
 
< 0.1%
20110104 19
 
0.3%
20110112 7
 
0.1%
20110315 124
2.1%
20110404 1
 
< 0.1%
20110405 1
 
< 0.1%
20110424 1
 
< 0.1%
20110426 41
 
0.7%
20110428 1
 
< 0.1%
ValueCountFrequency (%)
20240308 58
1.0%
20240306 17
 
0.3%
20240227 4
 
0.1%
20240226 1
 
< 0.1%
20240219 11
 
0.2%
20240213 61
1.0%
20240129 12
 
0.2%
20240123 9
 
0.2%
20240117 3
 
0.1%
20240108 9
 
0.2%

결과회보일자
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)9.7%
Missing4462
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean20189039
Minimum20100629
Maximum20220124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:45.102782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100629
5-th percentile20170302
Q120171124
median20190715
Q320201105
95-th percentile20211020
Maximum20220124
Range119495
Interquartile range (IQR)29981

Descriptive statistics

Standard deviation15630.054
Coefficient of variation (CV)0.00077418514
Kurtosis-0.69364583
Mean20189039
Median Absolute Deviation (MAD)10501
Skewness-0.038848202
Sum2.8022387 × 1010
Variance2.442986 × 108
MonotonicityNot monotonic
2024-05-10T22:29:45.726201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180607 75
 
1.3%
20180330 58
 
1.0%
20180214 51
 
0.9%
20170302 50
 
0.9%
20210827 47
 
0.8%
20191011 47
 
0.8%
20210325 38
 
0.6%
20180822 36
 
0.6%
20171023 36
 
0.6%
20200522 36
 
0.6%
Other values (125) 914
 
15.6%
(Missing) 4462
76.3%
ValueCountFrequency (%)
20100629 1
 
< 0.1%
20160607 5
0.1%
20160609 4
0.1%
20160614 5
0.1%
20160627 2
 
< 0.1%
20160701 4
0.1%
20160705 3
0.1%
20160706 4
0.1%
20161025 1
 
< 0.1%
20161103 2
 
< 0.1%
ValueCountFrequency (%)
20220124 3
 
0.1%
20211206 5
 
0.1%
20211202 18
0.3%
20211201 2
 
< 0.1%
20211125 2
 
< 0.1%
20211119 10
0.2%
20211101 3
 
0.1%
20211022 10
0.2%
20211020 20
0.3%
20210924 8
 
0.1%

판정구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
<NA>
4378 
1
1448 
2
 
24

Length

Max length4
Median length4
Mean length3.2451282
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> 4378
74.8%
1 1448
 
24.8%
2 24
 
0.4%

Length

2024-05-10T22:29:46.170014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:46.460504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4378
74.8%
1 1448
 
24.8%
2 24
 
0.4%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

처리결과
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing5845
Missing (%)99.9%
Memory size45.8 KiB
2024-05-10T22:29:46.782763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.6
Min length6

Characters and Unicode

Total characters38
Distinct characters9
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st rowGMO불검출
2nd rowGMO 불검출
3rd rowGMO성분 불검출
4th rowGMO성분 불검출
5th rowGMO 불검출
ValueCountFrequency (%)
불검출 4
44.4%
gmo 2
22.2%
gmo성분 2
22.2%
gmo불검출 1
 
11.1%
2024-05-10T22:29:47.516610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 5
13.2%
M 5
13.2%
O 5
13.2%
불 5
13.2%
검 5
13.2%
출 5
13.2%
4
10.5%
성 2
 
5.3%
분 2
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19
50.0%
Uppercase Letter 15
39.5%
Space Separator 4
 
10.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
불 5
26.3%
검 5
26.3%
출 5
26.3%
성 2
 
10.5%
분 2
 
10.5%
Uppercase Letter
ValueCountFrequency (%)
G 5
33.3%
M 5
33.3%
O 5
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19
50.0%
Latin 15
39.5%
Common 4
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
불 5
26.3%
검 5
26.3%
출 5
26.3%
성 2
 
10.5%
분 2
 
10.5%
Latin
ValueCountFrequency (%)
G 5
33.3%
M 5
33.3%
O 5
33.3%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19
50.0%
Hangul 19
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
G 5
26.3%
M 5
26.3%
O 5
26.3%
4
21.1%
Hangul
ValueCountFrequency (%)
불 5
26.3%
검 5
26.3%
출 5
26.3%
성 2
 
10.5%
분 2
 
10.5%

수거품처리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

교부번호
Real number (ℝ)

Distinct443
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0068531 × 1010
Minimum1.963005 × 1010
Maximum2.0230068 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:47.935827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.963005 × 1010
5-th percentile1.996005 × 1010
Q12.0040051 × 1010
median2.0080051 × 1010
Q32.011005 × 1010
95-th percentile2.016005 × 1010
Maximum2.0230068 × 1010
Range6.0001801 × 108
Interquartile range (IQR)69999147

Descriptive statistics

Standard deviation67247146
Coefficient of variation (CV)0.0033508754
Kurtosis5.2701657
Mean2.0068531 × 1010
Median Absolute Deviation (MAD)30000400
Skewness-1.35373
Sum1.1740091 × 1014
Variance4.5221786 × 1015
MonotonicityNot monotonic
2024-05-10T22:29:48.385728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100050335 445
 
7.6%
20050050105 316
 
5.4%
20080050574 289
 
4.9%
20090050127 239
 
4.1%
20000050626 199
 
3.4%
20070050535 187
 
3.2%
19980050442 186
 
3.2%
20110050112 185
 
3.2%
20070050661 170
 
2.9%
20040050923 164
 
2.8%
Other values (433) 3470
59.3%
ValueCountFrequency (%)
19630050001 1
 
< 0.1%
19650050002 10
0.2%
19690050013 3
 
0.1%
19710050003 2
 
< 0.1%
19720050007 1
 
< 0.1%
19720050008 2
 
< 0.1%
19720050010 6
0.1%
19720050015 2
 
< 0.1%
19730050002 4
 
0.1%
19770050012 2
 
< 0.1%
ValueCountFrequency (%)
20230068012 1
 
< 0.1%
20230067713 1
 
< 0.1%
20230067649 1
 
< 0.1%
20230067248 1
 
< 0.1%
20220059987 1
 
< 0.1%
20220059896 5
 
0.1%
20220059770 3
 
0.1%
20220059528 1
 
< 0.1%
20210051318 1
 
< 0.1%
20210051037 27
0.5%

폐기일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

폐기량(kg)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

폐기금액(원)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

폐기장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

폐기방법
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

소재지(도로명)
Text

MISSING 

Distinct404
Distinct (%)7.3%
Missing281
Missing (%)4.8%
Memory size45.8 KiB
2024-05-10T22:29:49.018445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length36.262345
Min length22

Characters and Unicode

Total characters201945
Distinct characters214
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)3.2%

Sample

1st row서울특별시 성북구 장월로1길 28, 상가동 B05호 (상월곡동,동아아파트)
2nd row서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)
3rd row서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)
4th row서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)
5th row서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)
ValueCountFrequency (%)
서울특별시 5569
 
16.2%
성북구 5569
 
16.2%
지하1층 1104
 
3.2%
하월곡동 722
 
2.1%
화랑로 639
 
1.9%
길음동 571
 
1.7%
17 541
 
1.6%
상가동 523
 
1.5%
종암동 491
 
1.4%
76 468
 
1.4%
Other values (561) 18278
53.0%
2024-05-10T22:29:50.186078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28934
 
14.3%
, 10962
 
5.4%
1 9425
 
4.7%
동 7903
 
3.9%
) 6949
 
3.4%
( 6949
 
3.4%
성 6310
 
3.1%
북 6154
 
3.0%
시 5659
 
2.8%
서 5646
 
2.8%
Other values (204) 107054
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117937
58.4%
Space Separator 28934
 
14.3%
Decimal Number 28542
 
14.1%
Other Punctuation 11058
 
5.5%
Close Punctuation 6949
 
3.4%
Open Punctuation 6949
 
3.4%
Uppercase Letter 708
 
0.4%
Math Symbol 354
 
0.2%
Dash Punctuation 310
 
0.2%
Lowercase Letter 204
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7903
 
6.7%
성 6310
 
5.4%
북 6154
 
5.2%
시 5659
 
4.8%
서 5646
 
4.8%
울 5573
 
4.7%
구 5570
 
4.7%
별 5569
 
4.7%
특 5569
 
4.7%
로 5559
 
4.7%
Other values (171) 58425
49.5%
Decimal Number
ValueCountFrequency (%)
1 9425
33.0%
2 4454
15.6%
5 2477
 
8.7%
7 2408
 
8.4%
6 2183
 
7.6%
4 2158
 
7.6%
0 1857
 
6.5%
8 1433
 
5.0%
3 1253
 
4.4%
9 894
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
w 48
23.5%
e 38
18.6%
a 34
16.7%
c 18
 
8.8%
m 16
 
7.8%
o 16
 
7.8%
b 16
 
7.8%
d 16
 
7.8%
h 2
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
B 688
97.2%
A 6
 
0.8%
G 5
 
0.7%
L 5
 
0.7%
S 2
 
0.3%
K 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 10962
99.1%
@ 64
 
0.6%
. 32
 
0.3%
Space Separator
ValueCountFrequency (%)
28934
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6949
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6949
100.0%
Math Symbol
ValueCountFrequency (%)
~ 354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117937
58.4%
Common 83096
41.1%
Latin 912
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7903
 
6.7%
성 6310
 
5.4%
북 6154
 
5.2%
시 5659
 
4.8%
서 5646
 
4.8%
울 5573
 
4.7%
구 5570
 
4.7%
별 5569
 
4.7%
특 5569
 
4.7%
로 5559
 
4.7%
Other values (171) 58425
49.5%
Common
ValueCountFrequency (%)
28934
34.8%
, 10962
 
13.2%
1 9425
 
11.3%
) 6949
 
8.4%
( 6949
 
8.4%
2 4454
 
5.4%
5 2477
 
3.0%
7 2408
 
2.9%
6 2183
 
2.6%
4 2158
 
2.6%
Other values (8) 6197
 
7.5%
Latin
ValueCountFrequency (%)
B 688
75.4%
w 48
 
5.3%
e 38
 
4.2%
a 34
 
3.7%
c 18
 
2.0%
m 16
 
1.8%
o 16
 
1.8%
b 16
 
1.8%
d 16
 
1.8%
A 6
 
0.7%
Other values (5) 16
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117937
58.4%
ASCII 84008
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28934
34.4%
, 10962
 
13.0%
1 9425
 
11.2%
) 6949
 
8.3%
( 6949
 
8.3%
2 4454
 
5.3%
5 2477
 
2.9%
7 2408
 
2.9%
6 2183
 
2.6%
4 2158
 
2.6%
Other values (23) 7109
 
8.5%
Hangul
ValueCountFrequency (%)
동 7903
 
6.7%
성 6310
 
5.4%
북 6154
 
5.2%
시 5659
 
4.8%
서 5646
 
4.8%
울 5573
 
4.7%
구 5570
 
4.7%
별 5569
 
4.7%
특 5569
 
4.7%
로 5559
 
4.7%
Other values (171) 58425
49.5%

소재지(지번)
Text

MISSING 

Distinct417
Distinct (%)7.9%
Missing545
Missing (%)9.3%
Memory size45.8 KiB
2024-05-10T22:29:50.663421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length32.46541
Min length22

Characters and Unicode

Total characters172229
Distinct characters185
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)3.5%

Sample

1st row서울특별시 성북구 상월곡동 101번지 상가 동아아파트-B05
2nd row서울특별시 성북구 돈암동 609번지 1호
3rd row서울특별시 성북구 돈암동 609번지 1호
4th row서울특별시 성북구 돈암동 609번지 1호
5th row서울특별시 성북구 돈암동 609번지 1호
ValueCountFrequency (%)
서울특별시 5305
 
16.8%
성북구 5305
 
16.8%
1호 1499
 
4.8%
하월곡동 1307
 
4.1%
길음동 969
 
3.1%
지하1층 855
 
2.7%
상가 689
 
2.2%
2호 600
 
1.9%
종암동 599
 
1.9%
석관동 593
 
1.9%
Other values (493) 13828
43.8%
2024-05-10T22:29:51.638702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37878
22.0%
1 8134
 
4.7%
지 7986
 
4.6%
동 6402
 
3.7%
번 5682
 
3.3%
성 5563
 
3.2%
북 5477
 
3.2%
시 5395
 
3.1%
울 5309
 
3.1%
서 5309
 
3.1%
Other values (175) 79094
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100371
58.3%
Space Separator 37878
 
22.0%
Decimal Number 28222
 
16.4%
Close Punctuation 1432
 
0.8%
Open Punctuation 1432
 
0.8%
Other Punctuation 1089
 
0.6%
Dash Punctuation 996
 
0.6%
Uppercase Letter 503
 
0.3%
Lowercase Letter 204
 
0.1%
Math Symbol 102
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 7986
 
8.0%
동 6402
 
6.4%
번 5682
 
5.7%
성 5563
 
5.5%
북 5477
 
5.5%
시 5395
 
5.4%
울 5309
 
5.3%
서 5309
 
5.3%
구 5305
 
5.3%
별 5305
 
5.3%
Other values (141) 42638
42.5%
Decimal Number
ValueCountFrequency (%)
1 8134
28.8%
2 4128
14.6%
0 3083
 
10.9%
4 2589
 
9.2%
3 2420
 
8.6%
6 2046
 
7.2%
5 1904
 
6.7%
7 1888
 
6.7%
9 1072
 
3.8%
8 958
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
w 48
23.5%
e 38
18.6%
a 34
16.7%
c 18
 
8.8%
m 16
 
7.8%
o 16
 
7.8%
d 16
 
7.8%
b 16
 
7.8%
h 2
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
B 483
96.0%
A 6
 
1.2%
L 5
 
1.0%
G 5
 
1.0%
K 2
 
0.4%
S 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 1052
96.6%
. 32
 
2.9%
@ 4
 
0.4%
: 1
 
0.1%
Space Separator
ValueCountFrequency (%)
37878
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 996
100.0%
Math Symbol
ValueCountFrequency (%)
~ 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100371
58.3%
Common 71151
41.3%
Latin 707
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 7986
 
8.0%
동 6402
 
6.4%
번 5682
 
5.7%
성 5563
 
5.5%
북 5477
 
5.5%
시 5395
 
5.4%
울 5309
 
5.3%
서 5309
 
5.3%
구 5305
 
5.3%
별 5305
 
5.3%
Other values (141) 42638
42.5%
Common
ValueCountFrequency (%)
37878
53.2%
1 8134
 
11.4%
2 4128
 
5.8%
0 3083
 
4.3%
4 2589
 
3.6%
3 2420
 
3.4%
6 2046
 
2.9%
5 1904
 
2.7%
7 1888
 
2.7%
) 1432
 
2.0%
Other values (9) 5649
 
7.9%
Latin
ValueCountFrequency (%)
B 483
68.3%
w 48
 
6.8%
e 38
 
5.4%
a 34
 
4.8%
c 18
 
2.5%
m 16
 
2.3%
o 16
 
2.3%
d 16
 
2.3%
b 16
 
2.3%
A 6
 
0.8%
Other values (5) 16
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100371
58.3%
ASCII 71858
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37878
52.7%
1 8134
 
11.3%
2 4128
 
5.7%
0 3083
 
4.3%
4 2589
 
3.6%
3 2420
 
3.4%
6 2046
 
2.8%
5 1904
 
2.6%
7 1888
 
2.6%
) 1432
 
2.0%
Other values (24) 6356
 
8.8%
Hangul
ValueCountFrequency (%)
지 7986
 
8.0%
동 6402
 
6.4%
번 5682
 
5.7%
성 5563
 
5.5%
북 5477
 
5.5%
시 5395
 
5.4%
울 5309
 
5.3%
서 5309
 
5.3%
구 5305
 
5.3%
별 5305
 
5.3%
Other values (141) 42638
42.5%

업소전화번호
Text

MISSING 

Distinct321
Distinct (%)6.1%
Missing603
Missing (%)10.3%
Memory size45.8 KiB
2024-05-10T22:29:52.274677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.111302
Min length7

Characters and Unicode

Total characters53054
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

Unique128 ?
Unique (%)2.4%

Sample

1st row02 9185531
2nd row02 929 1228
3rd row02 929 1228
4th row02 929 1228
5th row02 929 1228
ValueCountFrequency (%)
02 4326
43.6%
0236698124 389
 
3.9%
9185531 316
 
3.2%
9441052 289
 
2.9%
9434144 199
 
2.0%
9637701 187
 
1.9%
9420066 185
 
1.9%
9427481 170
 
1.7%
9126704 164
 
1.7%
9235601 158
 
1.6%
Other values (355) 3546
35.7%
2024-05-10T22:29:53.209990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9255
17.4%
0 8398
15.8%
9 6375
12.0%
1 5886
11.1%
4976
9.4%
4 4468
8.4%
5 3286
 
6.2%
3 3222
 
6.1%
6 3103
 
5.8%
7 2116
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48078
90.6%
Space Separator 4976
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9255
19.2%
0 8398
17.5%
9 6375
13.3%
1 5886
12.2%
4 4468
9.3%
5 3286
 
6.8%
3 3222
 
6.7%
6 3103
 
6.5%
7 2116
 
4.4%
8 1969
 
4.1%
Space Separator
ValueCountFrequency (%)
4976
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53054
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9255
17.4%
0 8398
15.8%
9 6375
12.0%
1 5886
11.1%
4976
9.4%
4 4468
8.4%
5 3286
 
6.2%
3 3222
 
6.1%
6 3103
 
5.8%
7 2116
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53054
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9255
17.4%
0 8398
15.8%
9 6375
12.0%
1 5886
11.1%
4976
9.4%
4 4468
8.4%
5 3286
 
6.2%
3 3222
 
6.1%
6 3103
 
5.8%
7 2116
 
4.0%

점검목적
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
위생점검(전체)
2266 
<NA>
1730 
수거
1690 
위생점검(부분)
 
144
시설점검
 
20

Length

Max length8
Median length4
Mean length5.0700855
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위생점검(전체) 2266
38.7%
<NA> 1730
29.6%
수거 1690
28.9%
위생점검(부분) 144
 
2.5%
시설점검 20
 
0.3%

Length

2024-05-10T22:29:53.599006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:53.868103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위생점검(전체 2266
38.7%
na 1730
29.6%
수거 1690
28.9%
위생점검(부분 144
 
2.5%
시설점검 20
 
0.3%

점검일자
Real number (ℝ)

Distinct361
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20145219
Minimum20001109
Maximum20240308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:54.199200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001109
5-th percentile20090819
Q120110315
median20131105
Q320180315
95-th percentile20230727
Maximum20240308
Range239199
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation43669.997
Coefficient of variation (CV)0.0021677599
Kurtosis-0.76270165
Mean20145219
Median Absolute Deviation (MAD)30388.5
Skewness0.41810201
Sum1.1784953 × 1011
Variance1.9070686 × 109
MonotonicityNot monotonic
2024-05-10T22:29:54.639590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110315 132
 
2.3%
20151013 104
 
1.8%
20151020 96
 
1.6%
20131105 88
 
1.5%
20101213 85
 
1.5%
20121114 78
 
1.3%
20180523 75
 
1.3%
20120104 72
 
1.2%
20110812 70
 
1.2%
20101130 68
 
1.2%
Other values (351) 4982
85.2%
ValueCountFrequency (%)
20001109 1
< 0.1%
20010308 1
< 0.1%
20010323 1
< 0.1%
20010917 1
< 0.1%
20010919 1
< 0.1%
20010926 1
< 0.1%
20011107 1
< 0.1%
20011120 1
< 0.1%
20020308 1
< 0.1%
20020509 1
< 0.1%
ValueCountFrequency (%)
20240308 58
1.0%
20240306 1
 
< 0.1%
20240228 17
 
0.3%
20240227 3
 
0.1%
20240219 12
 
0.2%
20240213 61
1.0%
20240205 5
 
0.1%
20240129 7
 
0.1%
20240123 9
 
0.2%
20240118 1
 
< 0.1%

점검구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
수시
1882 
기타
1746 
<NA>
1708 
합동
315 
일제
199 

Length

Max length4
Median length2
Mean length2.5839316
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수시 1882
32.2%
기타 1746
29.8%
<NA> 1708
29.2%
합동 315
 
5.4%
일제 199
 
3.4%

Length

2024-05-10T22:29:55.244713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:55.730944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 1882
32.2%
기타 1746
29.8%
na 1708
29.2%
합동 315
 
5.4%
일제 199
 
3.4%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

점검결과코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.8 KiB
1
4053 
<NA>
1708 
2
 
89

Length

Max length4
Median length1
Mean length1.8758974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4053
69.3%
<NA> 1708
29.2%
2 89
 
1.5%

Length

2024-05-10T22:29:56.091383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:29:56.468038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4053
69.3%
na 1708
29.2%
2 89
 
1.5%

(구)제조유통기한
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)78.9%
Missing5637
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean20123371
Minimum20100605
Maximum20160718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.5 KiB
2024-05-10T22:29:56.832391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100605
5-th percentile20110977
Q120120228
median20120805
Q320130324
95-th percentile20140737
Maximum20160718
Range60113
Interquartile range (IQR)10096

Descriptive statistics

Standard deviation9119.8752
Coefficient of variation (CV)0.00045319818
Kurtosis2.1402658
Mean20123371
Median Absolute Deviation (MAD)9302
Skewness0.96442574
Sum4.286278 × 109
Variance83172123
MonotonicityNot monotonic
2024-05-10T22:29:57.707095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111207 7
 
0.1%
20120521 4
 
0.1%
20120607 3
 
0.1%
20121110 3
 
0.1%
20121004 3
 
0.1%
20120525 3
 
0.1%
20120208 3
 
0.1%
20120608 3
 
0.1%
20131004 3
 
0.1%
20130304 3
 
0.1%
Other values (158) 178
 
3.0%
(Missing) 5637
96.4%
ValueCountFrequency (%)
20100605 1
< 0.1%
20110617 1
< 0.1%
20110709 1
< 0.1%
20110714 1
< 0.1%
20110810 1
< 0.1%
20110816 1
< 0.1%
20110818 1
< 0.1%
20110821 1
< 0.1%
20110901 1
< 0.1%
20110909 1
< 0.1%
ValueCountFrequency (%)
20160718 1
< 0.1%
20160630 1
< 0.1%
20151130 1
< 0.1%
20150131 1
< 0.1%
20141130 1
< 0.1%
20141023 1
< 0.1%
20141016 1
< 0.1%
20141012 1
< 0.1%
20140930 1
< 0.1%
20140927 1
< 0.1%

(구)제조회사주소
Text

MISSING 

Distinct287
Distinct (%)55.8%
Missing5336
Missing (%)91.2%
Memory size45.8 KiB
2024-05-10T22:29:58.378085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length18.35214
Min length3

Characters and Unicode

Total characters9433
Distinct characters235
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

Unique198 ?
Unique (%)38.5%

Sample

1st row서울시 강남구 논현동62 논현조일빌딩7층 2호
2nd row충남 연기군 전우면 신정리 618
3rd row서울시 중구 필동2가 81-6세정it빌딩4층
4th row서울시 성동구 행당동 1-37
5th row강남구 대치동 999-16
ValueCountFrequency (%)
경기도 114
 
4.9%
서울시 80
 
3.4%
충북 68
 
2.9%
성북구 54
 
2.3%
충남 40
 
1.7%
부산시 37
 
1.6%
경기 34
 
1.5%
음성군 30
 
1.3%
사하구 28
 
1.2%
대소면 26
 
1.1%
Other values (655) 1810
78.0%
2024-05-10T22:29:59.444659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1807
 
19.2%
1 397
 
4.2%
시 388
 
4.1%
- 330
 
3.5%
동 309
 
3.3%
구 257
 
2.7%
2 250
 
2.7%
3 239
 
2.5%
리 224
 
2.4%
경 192
 
2.0%
Other values (225) 5040
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5422
57.5%
Decimal Number 1858
 
19.7%
Space Separator 1807
 
19.2%
Dash Punctuation 330
 
3.5%
Close Punctuation 6
 
0.1%
Open Punctuation 5
 
0.1%
Connector Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 388
 
7.2%
동 309
 
5.7%
구 257
 
4.7%
리 224
 
4.1%
경 192
 
3.5%
북 167
 
3.1%
기 166
 
3.1%
면 148
 
2.7%
도 147
 
2.7%
성 144
 
2.7%
Other values (207) 3280
60.5%
Decimal Number
ValueCountFrequency (%)
1 397
21.4%
2 250
13.5%
3 239
12.9%
4 173
9.3%
6 160
8.6%
7 154
 
8.3%
5 150
 
8.1%
0 148
 
8.0%
8 98
 
5.3%
9 89
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
t 1
50.0%
Space Separator
ValueCountFrequency (%)
1807
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5422
57.5%
Common 4008
42.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 388
 
7.2%
동 309
 
5.7%
구 257
 
4.7%
리 224
 
4.1%
경 192
 
3.5%
북 167
 
3.1%
기 166
 
3.1%
면 148
 
2.7%
도 147
 
2.7%
성 144
 
2.7%
Other values (207) 3280
60.5%
Common
ValueCountFrequency (%)
1807
45.1%
1 397
 
9.9%
- 330
 
8.2%
2 250
 
6.2%
3 239
 
6.0%
4 173
 
4.3%
6 160
 
4.0%
7 154
 
3.8%
5 150
 
3.7%
0 148
 
3.7%
Other values (5) 200
 
5.0%
Latin
ValueCountFrequency (%)
i 1
33.3%
t 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5422
57.5%
ASCII 4011
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1807
45.1%
1 397
 
9.9%
- 330
 
8.2%
2 250
 
6.2%
3 239
 
6.0%
4 173
 
4.3%
6 160
 
4.0%
7 154
 
3.8%
5 150
 
3.7%
0 148
 
3.7%
Other values (8) 203
 
5.1%
Hangul
ValueCountFrequency (%)
시 388
 
7.2%
동 309
 
5.7%
구 257
 
4.7%
리 224
 
4.1%
경 192
 
3.5%
북 167
 
3.1%
기 166
 
3.1%
면 148
 
2.7%
도 147
 
2.7%
성 144
 
2.7%
Other values (207) 3280
60.5%

부적합항목
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing5848
Missing (%)> 99.9%
Memory size45.8 KiB
2024-05-10T22:29:59.778593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8
Min length5

Characters and Unicode

Total characters16
Distinct characters16
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

Unique2 ?
Unique (%)100.0%

Sample

1st row금속성이물
2nd row여시니아엔테로콜리티카
ValueCountFrequency (%)
금속성이물 1
50.0%
여시니아엔테로콜리티카 1
50.0%
2024-05-10T22:30:00.500355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
금 1
 
6.2%
속 1
 
6.2%
성 1
 
6.2%
이 1
 
6.2%
물 1
 
6.2%
여 1
 
6.2%
시 1
 
6.2%
니 1
 
6.2%
아 1
 
6.2%
엔 1
 
6.2%
Other values (6) 6
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 1
 
6.2%
속 1
 
6.2%
성 1
 
6.2%
이 1
 
6.2%
물 1
 
6.2%
여 1
 
6.2%
시 1
 
6.2%
니 1
 
6.2%
아 1
 
6.2%
엔 1
 
6.2%
Other values (6) 6
37.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 1
 
6.2%
속 1
 
6.2%
성 1
 
6.2%
이 1
 
6.2%
물 1
 
6.2%
여 1
 
6.2%
시 1
 
6.2%
니 1
 
6.2%
아 1
 
6.2%
엔 1
 
6.2%
Other values (6) 6
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
금 1
 
6.2%
속 1
 
6.2%
성 1
 
6.2%
이 1
 
6.2%
물 1
 
6.2%
여 1
 
6.2%
시 1
 
6.2%
니 1
 
6.2%
아 1
 
6.2%
엔 1
 
6.2%
Other values (6) 6
37.5%

기준치부적합내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5850
Missing (%)100.0%
Memory size51.5 KiB

Sample

시군구코드업종코드업종명계획구분코드계획구분명지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드바코드번호어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리구분수거검사구분코드단속지역구분코드수거장소구분코드처리결과수거품처리교부번호폐기일자폐기량(kg)폐기금액(원)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검내용점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용
03070000114기타식품판매업<NA><NA><NA><NA><NA><NA>제일소비자유통899000000축산물가공품버터류스커피 땅콩버터 크리미<NA><NA><NA>220911133.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050050105<NA><NA><NA><NA><NA>서울특별시 성북구 장월로1길 28, 상가동 B05호 (상월곡동,동아아파트)서울특별시 성북구 상월곡동 101번지 상가 동아아파트-B0502 9185531위생점검(전체)20091113수시<NA>1<NA><NA><NA><NA>
13070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-148기타반디유치원G0400000200000식품용수식품용수음용수<NA><NA><NA>202403081.01LT<NA>20240308<NA><NA><NA>냉장<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<NA>1<NA><NA><NA><NA>
23070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-147기타반디유치원F0500000100000금속제금속제도마<NA><NA><NA>20240308<NA><NA><NA>2개20240308<NA><NA><NA>실온<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<NA>1<NA><NA><NA><NA>
33070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-146기타반디유치원F0500000100000금속제금속제칼<NA><NA><NA>20240308<NA><NA><NA>2개20240308<NA><NA><NA>실온<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<NA>1<NA><NA><NA><NA>
43070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-145기타반디유치원F0500000100000금속제금속제공통반 책상<NA><NA><NA>20240308<NA><NA><NA>2개20240308<NA><NA><NA>실온<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<NA>1<NA><NA><NA><NA>
53070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-144기타반디유치원F0500000100000금속제금속제앵두나무반 책상<NA><NA><NA>20240308<NA><NA><NA>2개20240308<NA><NA><NA>실온<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<NA>1<NA><NA><NA><NA>
63070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-143기타반디유치원F0500000100000금속제금속제사과나무반 책상<NA><NA><NA>20240308<NA><NA><NA>2개20240308<NA><NA><NA>실온<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<NA>1<NA><NA><NA><NA>
73070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-142기타반디유치원F0500000100000금속제금속제화장실 세면대<NA><NA><NA>20240308<NA><NA><NA>2개20240308<NA><NA><NA>실온<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<NA>1<NA><NA><NA><NA>
83070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-141기타반디유치원F0500000100000금속제금속제은행나무반 싱크대 손잡이<NA><NA><NA>20240308<NA><NA><NA>2개20240308<NA><NA><NA>실온<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<NA>1<NA><NA><NA><NA>
93070000105집단급식소999<NA>2024년도 기타일상단속<NA>108-식-140기타반디유치원F0500000100000금속제금속제식판<NA><NA><NA>20240308<NA><NA><NA>1개20240308<NA><NA><NA>실온<NA><NA>001<NA>국내<NA>220240308<NA><NA><NA><NA><NA><NA><NA><NA>20120050551<NA><NA><NA><NA><NA>서울특별시 성북구 성북로4길 52, (돈암동, 한신@단지 내)서울특별시 성북구 돈암동 609번지 1호02 929 1228위생점검(전체)20240308기타<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
58403070000109식품소분업<NA><NA><NA><NA><NA><NA>두두물산<NA><NA>진미오징어<NA><NA><NA>2002050910000.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>서울시 보건환경연구원 가락농수산물검사소<NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>19840050145<NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 77번지 333호02 9130105<NA>20020509기타<NA>2<NA><NA><NA><NA>
58413070000113유통전문판매업<NA><NA><NA><NA><NA><NA>세림제과<NA><NA>소틈장 바블껌<NA><NA><NA>200203080.23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 보건호나경연구원 북부지원장<NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>20020050384<NA><NA><NA><NA><NA>서울특별시 성북구 장월로5길 4, (장위동)서울특별시 성북구 장위동 246번지 189호02 9145404<NA>20020308기타<NA>2<NA><NA><NA><NA>
58423070000106식품제조가공업<NA><NA><NA><NA><NA><NA>스마일식품001<NA><NA>군만두<NA><NA><NA>200111202.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>19960050517<NA><NA><NA><NA><NA>서울특별시 성북구 장월로 23, (장위동)서울특별시 성북구 장위동 269번지 2호02 9848161<NA>20011120기타<NA>2<NA><NA><NA><NA>
58433070000106식품제조가공업<NA><NA><NA><NA><NA><NA>태화식품001<NA><NA>미과<NA><NA><NA>200111080.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도보건환경연구원<NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>19730050002<NA><NA><NA><NA><NA>서울특별시 성북구 화랑로5길 62, (하월곡동)서울특별시 성북구 하월곡동 53번지 13호02 9136388<NA>20010919기타<NA>2<NA><NA><NA><NA>
58443070000106식품제조가공업<NA><NA><NA><NA><NA><NA>다선유통209000000면류생면류(국수,수제비류,만두피류)생소면<NA><NA><NA>200111070.45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>19970050270<NA><NA><NA><NA><NA>서울특별시 성북구 화랑로5길 64, (하월곡동)서울특별시 성북구 하월곡동 53번지 12호02 9418020<NA>20011107기타<NA>2<NA><NA><NA><NA>
58453070000114기타식품판매업<NA><NA><NA><NA><NA><NA>황금마트<NA><NA>그린도토리묵<NA><NA><NA>200109260.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>19980050955<NA><NA><NA><NA><NA>서울특별시 성북구 보국문로 50, (정릉동)서울특별시 성북구 정릉동 401번지 46호02 9141172<NA>20010926기타<NA>2<NA><NA><NA><NA>
58463070000106식품제조가공업<NA><NA><NA><NA><NA><NA>태화식품001<NA><NA>찹쌀산자<NA><NA><NA>200109170.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>서울시 보건환경연구원<NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>19730050002<NA><NA><NA><NA><NA>서울특별시 성북구 화랑로5길 62, (하월곡동)서울특별시 성북구 하월곡동 53번지 13호02 9136388<NA>20010917기타<NA>2<NA><NA><NA><NA>
58473070000106식품제조가공업<NA><NA><NA><NA><NA><NA>태화식품001<NA><NA>미과<NA><NA><NA>200103230.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>충청남도보건환경연구원<NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>19730050002<NA><NA><NA><NA><NA>서울특별시 성북구 화랑로5길 62, (하월곡동)서울특별시 성북구 하월곡동 53번지 13호02 9136388<NA>20010323기타<NA>2<NA><NA><NA><NA>
58483070000106식품제조가공업<NA><NA><NA><NA><NA><NA>태화식품001<NA><NA>찹쌀산자<NA><NA><NA>200103080.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>경기도 보건환경연구원<NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>19730050002<NA><NA><NA><NA><NA>서울특별시 성북구 화랑로5길 62, (하월곡동)서울특별시 성북구 하월곡동 53번지 13호02 9136388<NA>20010308기타<NA>2<NA><NA><NA><NA>
58493070000106식품제조가공업<NA><NA><NA><NA><NA><NA>산촌한과<NA><NA>쑥유과<NA><NA><NA>200011090.22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국외<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA>19980050952<NA><NA><NA><NA><NA>서울특별시 성북구 창경궁로35다길 80-9, (성북동)서울특별시 성북구 성북동 131번지 51호02 7651114<NA>20001109기타<NA>2<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)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과교부번호소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조유통기한(구)제조회사주소부적합항목# duplicates
13070000112식품자동판매기영업<NA><NA><NA><NA><NA>고려대학교<NA><NA>커피<NA><NA><NA>200907131.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA>19960050175<NA>서울특별시 성북구 안암동5가 1번지 0호 고려대 중도매점02 9201767위생점검(전체)20090819일제1<NA><NA><NA>5
33070000112식품자동판매기영업<NA><NA><NA><NA><NA>고려대학교<NA><NA>커피<NA><NA><NA>200907151.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA>19960050175<NA>서울특별시 성북구 안암동5가 1번지 0호 고려대 중도매점02 9201767위생점검(전체)20090819일제1<NA><NA><NA>5
43070000112식품자동판매기영업<NA><NA><NA><NA><NA>고려대학교<NA><NA>커피<NA><NA><NA>200907161.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA>19960050175<NA>서울특별시 성북구 안암동5가 1번지 0호 고려대 중도매점02 9201767위생점검(전체)20090819일제1<NA><NA><NA>5
23070000112식품자동판매기영업<NA><NA><NA><NA><NA>고려대학교<NA><NA>커피<NA><NA><NA>200907141.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA>19960050175<NA>서울특별시 성북구 안암동5가 1번지 0호 고려대 중도매점02 9201767위생점검(전체)20090819일제1<NA><NA><NA>4
03070000105집단급식소<NA><NA><NA>108-01-42검사용승가원장애아동시설600000000식품접객업집단급식소 조리식품치즈야채죽밥<NA><NA><NA>20130111<NA><NA><NA>1인분20130111<NA><NA><NA>실온<NA><NA><NA>국내<NA><NA><NA><NA><NA><NA>20070050353서울특별시 성북구 개운사길 76-1, (안암동5가,번지)서울특별시 성북구 안암동5가 10번지 1호 번지02 9216410위생점검(전체)20130112수시2<NA><NA><NA>2
53070000114기타식품판매업9992012년 성북구 가공식품 안전 업무 계획<NA>108-01-56검사용홈플러스(주)월곡점821000000조미식품토마토케첩토마토케첩<NA><NA><NA>201201042.0567g<NA><NA><NA><NA><NA>실온<NA><NA><NA>국외미국<NA><NA><NA><NA><NA>20100050335서울특별시 성북구 화랑로 76, (하월곡동,코업스타클래스 (지하1층))서울특별시 성북구 하월곡동 46번지 73호 코업스타클래스 (지하1층)0236698124수거20120104일제1<NA><NA><NA>2
63070000114기타식품판매업9992012년 성북구 가공식품 안전 업무 계획<NA>108-11-38검사용경기소비자유통정릉점804000000잼류잼유기딸기잼<NA><NA><NA>201211142.0300g<NA><NA><NA><NA><NA>실온<NA><NA><NA>국내<NA><NA><NA><NA><NA><NA>20110050112서울특별시 성북구 길음로7길 6, 상가동 217~228호 (길음동, 길음뉴타운9단지래미안상가)서울특별시 성북구 길음동 1286번지 10호 상가 길음뉴타운9단지래미안상가-217~202 9420066위생점검(전체)20121114수시1<NA><NA><NA>2
73070000114기타식품판매업9992013년 성북구 가공식품 안전관리 업무계획<NA>108-11-12검사용(주)창무씨엠821000000조미식품카레바몬드카레매운맛<NA><NA><NA>201311053.0240g<NA><NA><NA><NA><NA>실온<NA><NA><NA>국내<NA><NA><NA><NA><NA><NA>20130050288서울특별시 성북구 월계로 지하 52, 지하1층 B01호,B02호 (하월곡동, 에스엠메디컬)서울특별시 성북구 하월곡동 79번지 107호 에스엠메디컬-B01호,02 9174003위생점검(전체)20131105수시1<NA><NA><NA>2
83070000114기타식품판매업<NA><NA><NA>108-11-24<NA>롯데쇼핑(주)롯데마켓999하월곡점820000000장류혼합간장샘표국간장<NA><NA><NA>201111161.0930ml<NA><NA><NA><NA>20130718<NA><NA><NA>001샘표식품주식회사국내<NA>120111116<NA><NA><NA>20090050127서울특별시 성북구 오패산로4길 17, (하월곡동,번지)서울특별시 성북구 하월곡동 62번지 1호 번지02 9131581수거20111116수시120130718경기도 이천시 호법면 매곡리 231<NA>2
93070000114기타식품판매업<NA><NA><NA>108-11-35<NA>롯데쇼핑(주)롯데마켓999하월곡점816000000다류액상차초이스엘꿀모과차<NA><NA><NA>201111161.01Kg<NA><NA><NA><NA>20131004<NA><NA><NA>001(주)꽃샘식품국내<NA>120111116<NA><NA><NA>20090050127서울특별시 성북구 오패산로4길 17, (하월곡동,번지)서울특별시 성북구 하월곡동 62번지 1호 번지02 9131581수거20111116수시120131004경기도 포천시 소홀읍 이가팔리 637<NA>2