Overview

Dataset statistics

Number of variables61
Number of observations8485
Missing cells228735
Missing cells (%)44.2%
Duplicate rows14
Duplicate rows (%)0.2%
Total size in memory4.2 MiB
Average record size in memory515.0 B

Variable types

Categorical19
Numeric13
Unsupported9
Text20

Dataset

Description시군구코드,업종코드,업종명,계획구분코드,계획구분명,지도점검계획,수거계획,수거증번호,수거사유코드,업소명,식품군코드,식품군,품목명,제품명,음식물명,원료명,생산업소,수거일자,수거량(정량),제품규격(정량),단위(정량),수거량(자유),제조일자(일자),제조일자(롯트),유통기한(일자),유통기한(제조일기준),보관상태코드,바코드번호,어린이기호식품유형,검사기관명,(구)제조사명,내외국산,국가명,검사구분,검사의뢰일자,결과회보일자,판정구분,처리구분,수거검사구분코드,단속지역구분코드,수거장소구분코드,처리결과,수거품처리,교부번호,폐기일자,폐기량(kg),폐기금액(원),폐기장소,폐기방법,소재지(도로명),소재지(지번),업소전화번호,점검목적,점검일자,점검구분,점검내용,점검결과코드,(구)제조유통기한,(구)제조회사주소,부적합항목,기준치부적합내용
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-11532/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
폐기방법 has constant value ""Constant
Dataset has 14 (0.2%) duplicate rowsDuplicates
업종명 is highly imbalanced (67.3%)Imbalance
지도점검계획 is highly imbalanced (53.1%)Imbalance
수거계획 is highly imbalanced (72.8%)Imbalance
수거사유코드 is highly imbalanced (59.7%)Imbalance
제조일자(롯트) is highly imbalanced (96.9%)Imbalance
검사기관명 is highly imbalanced (50.8%)Imbalance
국가명 is highly imbalanced (92.0%)Imbalance
폐기량(kg) is highly imbalanced (99.8%)Imbalance
폐기장소 is highly imbalanced (94.2%)Imbalance
부적합항목 is highly imbalanced (99.2%)Imbalance
계획구분코드 has 5282 (62.3%) missing valuesMissing
계획구분명 has 8485 (100.0%) missing valuesMissing
수거증번호 has 2090 (24.6%) missing valuesMissing
식품군코드 has 251 (3.0%) missing valuesMissing
식품군 has 1093 (12.9%) missing valuesMissing
품목명 has 164 (1.9%) missing valuesMissing
음식물명 has 8398 (99.0%) missing valuesMissing
원료명 has 8463 (99.7%) missing valuesMissing
생산업소 has 8123 (95.7%) missing valuesMissing
수거량(정량) has 351 (4.1%) missing valuesMissing
제품규격(정량) has 2440 (28.8%) missing valuesMissing
수거량(자유) has 8134 (95.9%) missing valuesMissing
제조일자(일자) has 6702 (79.0%) missing valuesMissing
유통기한(일자) has 8062 (95.0%) missing valuesMissing
유통기한(제조일기준) has 8349 (98.4%) missing valuesMissing
바코드번호 has 8485 (100.0%) missing valuesMissing
어린이기호식품유형 has 8477 (99.9%) missing valuesMissing
(구)제조사명 has 7328 (86.4%) missing valuesMissing
검사의뢰일자 has 7106 (83.7%) missing valuesMissing
결과회보일자 has 7654 (90.2%) missing valuesMissing
처리구분 has 8485 (100.0%) missing valuesMissing
수거검사구분코드 has 8485 (100.0%) missing valuesMissing
단속지역구분코드 has 8485 (100.0%) missing valuesMissing
수거장소구분코드 has 8485 (100.0%) missing valuesMissing
처리결과 has 8482 (> 99.9%) missing valuesMissing
수거품처리 has 8485 (100.0%) missing valuesMissing
폐기일자 has 8338 (98.3%) missing valuesMissing
폐기금액(원) has 8485 (100.0%) missing valuesMissing
폐기방법 has 8484 (> 99.9%) missing valuesMissing
소재지(도로명) has 3561 (42.0%) missing valuesMissing
소재지(지번) has 101 (1.2%) missing valuesMissing
업소전화번호 has 463 (5.5%) missing valuesMissing
점검내용 has 8485 (100.0%) missing valuesMissing
(구)제조유통기한 has 8062 (95.0%) missing valuesMissing
(구)제조회사주소 has 7930 (93.5%) missing valuesMissing
기준치부적합내용 has 8482 (> 99.9%) missing valuesMissing
제조일자(일자) is highly skewed (γ1 = 40.14889735)Skewed
검사의뢰일자 is highly skewed (γ1 = 36.87783376)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
폐기금액(원) is an unsupported type, check if it needs cleaning or further analysisUnsupported
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:44:04.541089
Analysis finished2024-05-11 06:44:08.236179
Duration3.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
3200000
8485 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 8485
100.0%

Length

2024-05-11T15:44:08.310189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:08.431798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 8485
100.0%

업종코드
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.73329
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:08.541514image/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 deviation4.1718654
Coefficient of variation (CV)0.037006506
Kurtosis6.3075929
Mean112.73329
Median Absolute Deviation (MAD)0
Skewness-0.34033323
Sum956542
Variance17.404461
MonotonicityIncreasing
2024-05-11T15:44:08.700032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
114 6947
81.9%
105 646
 
7.6%
101 328
 
3.9%
107 147
 
1.7%
112 114
 
1.3%
104 107
 
1.3%
122 71
 
0.8%
134 68
 
0.8%
106 44
 
0.5%
121 12
 
0.1%
ValueCountFrequency (%)
101 328
 
3.9%
104 107
 
1.3%
105 646
 
7.6%
106 44
 
0.5%
107 147
 
1.7%
111 1
 
< 0.1%
112 114
 
1.3%
114 6947
81.9%
121 12
 
0.1%
122 71
 
0.8%
ValueCountFrequency (%)
134 68
 
0.8%
122 71
 
0.8%
121 12
 
0.1%
114 6947
81.9%
112 114
 
1.3%
111 1
 
< 0.1%
107 147
 
1.7%
106 44
 
0.5%
105 646
 
7.6%
104 107
 
1.3%

업종명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
기타식품판매업
6947 
집단급식소
 
646
일반음식점
 
328
즉석판매제조가공업
 
147
식품자동판매기영업
 
114
Other values (6)
 
303

Length

Max length11
Median length7
Mean length6.8610489
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 6947
81.9%
집단급식소 646
 
7.6%
일반음식점 328
 
3.9%
즉석판매제조가공업 147
 
1.7%
식품자동판매기영업 114
 
1.3%
휴게음식점 107
 
1.3%
집단급식소식품판매업 71
 
0.8%
건강기능식품일반판매업 68
 
0.8%
식품제조가공업 44
 
0.5%
제과점영업 12
 
0.1%

Length

2024-05-11T15:44:08.863338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 6947
81.9%
집단급식소 646
 
7.6%
일반음식점 328
 
3.9%
즉석판매제조가공업 147
 
1.7%
식품자동판매기영업 114
 
1.3%
휴게음식점 107
 
1.3%
집단급식소식품판매업 71
 
0.8%
건강기능식품일반판매업 68
 
0.8%
식품제조가공업 44
 
0.5%
제과점영업 12
 
0.1%

계획구분코드
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.2%
Missing5282
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean815.29441
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:09.023314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q1999
median999
Q3999
95-th percentile999
Maximum999
Range998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation385.86421
Coefficient of variation (CV)0.47328205
Kurtosis0.64023173
Mean815.29441
Median Absolute Deviation (MAD)0
Skewness-1.6247397
Sum2611388
Variance148891.19
MonotonicityNot monotonic
2024-05-11T15:44:09.158647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
999 2611
30.8%
7 363
 
4.3%
1 119
 
1.4%
3 95
 
1.1%
2 9
 
0.1%
6 6
 
0.1%
(Missing) 5282
62.3%
ValueCountFrequency (%)
1 119
 
1.4%
2 9
 
0.1%
3 95
 
1.1%
6 6
 
0.1%
7 363
 
4.3%
999 2611
30.8%
ValueCountFrequency (%)
999 2611
30.8%
7 363
 
4.3%
6 6
 
0.1%
3 95
 
1.1%
2 9
 
0.1%
1 119
 
1.4%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

지도점검계획
Categorical

IMBALANCE 

Distinct25
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
5282 
시군구지도점검
845 
2014년 시군구 지도점검
586 
행락철 대비 유통식품 수거계획
 
357
지도점검
 
337
Other values (20)
1078 

Length

Max length28
Median length4
Mean length7.1619328
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row2015년 시군구 지도점검
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row시군구지도점검

Common Values

ValueCountFrequency (%)
<NA> 5282
62.3%
시군구지도점검 845
 
10.0%
2014년 시군구 지도점검 586
 
6.9%
행락철 대비 유통식품 수거계획 357
 
4.2%
지도점검 337
 
4.0%
2018년 위생지도점검(식품안전팀) 247
 
2.9%
2019년 위생지도점검(식품안전팀) 184
 
2.2%
2017년 시군구 지도점검 158
 
1.9%
설성수식품 제조.소분.판매업소 위생점검 118
 
1.4%
2016시군구 지도점검 91
 
1.1%
Other values (15) 280
 
3.3%

Length

2024-05-11T15:44:09.369582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5282
42.7%
지도점검 1260
 
10.2%
시군구지도점검 845
 
6.8%
시군구 832
 
6.7%
2014년 586
 
4.7%
위생지도점검(식품안전팀 431
 
3.5%
행락철 357
 
2.9%
대비 357
 
2.9%
유통식품 357
 
2.9%
수거계획 357
 
2.9%
Other values (43) 1707
 
13.8%

수거계획
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
7112 
시군구 수거검사 계획
 
618
2012년 가공식품안전업무추진계획(유통식품수거검사)
 
224
2014원산지검정용수거검사계획
 
221
식중독예방관리계획
 
92
Other values (9)
 
218

Length

Max length29
Median length4
Mean length5.8509134
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> 7112
83.8%
시군구 수거검사 계획 618
 
7.3%
2012년 가공식품안전업무추진계획(유통식품수거검사) 224
 
2.6%
2014원산지검정용수거검사계획 221
 
2.6%
식중독예방관리계획 92
 
1.1%
2019 조리식품 수거검사 80
 
0.9%
2019년 서울시 위생용품 지도점검 및 수거검사 계획 37
 
0.4%
식품 안전팀 수거 30
 
0.4%
친환경 무상급식 식재료 안전성 검사 29
 
0.3%
2012년 가공식품안전업무추진계획 16
 
0.2%
Other values (4) 26
 
0.3%

Length

2024-05-11T15:44:09.894641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7112
67.3%
수거검사 735
 
7.0%
계획 655
 
6.2%
시군구 618
 
5.9%
2012년 248
 
2.3%
가공식품안전업무추진계획(유통식품수거검사 224
 
2.1%
2014원산지검정용수거검사계획 221
 
2.1%
식중독예방관리계획 92
 
0.9%
2019 80
 
0.8%
조리식품 80
 
0.8%
Other values (22) 496
 
4.7%

수거증번호
Text

MISSING 

Distinct3863
Distinct (%)60.4%
Missing2090
Missing (%)24.6%
Memory size66.4 KiB
2024-05-11T15:44:10.326635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length8.1734167
Min length1

Characters and Unicode

Total characters52269
Distinct characters78
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

Unique2513 ?
Unique (%)39.3%

Sample

1st row121-7-5-1
2nd row121-109
3rd row2013-음식-25
4th row2013-음식-26
5th row관악(음식점)1
ValueCountFrequency (%)
121 21
 
0.3%
121-11-13 8
 
0.1%
10 8
 
0.1%
121-1-5 7
 
0.1%
121-1-7 7
 
0.1%
121-11-10 7
 
0.1%
121-11-12 7
 
0.1%
121-1-6 7
 
0.1%
121-11-11 7
 
0.1%
121-1-4 7
 
0.1%
Other values (3838) 6360
98.7%
2024-05-11T15:44:11.012299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 17678
33.8%
- 11337
21.7%
2 8433
16.1%
0 2192
 
4.2%
3 1821
 
3.5%
5 1680
 
3.2%
4 1651
 
3.2%
6 1565
 
3.0%
7 1427
 
2.7%
9 1326
 
2.5%
Other values (68) 3159
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38927
74.5%
Dash Punctuation 11337
 
21.7%
Other Letter 1754
 
3.4%
Close Punctuation 80
 
0.2%
Open Punctuation 80
 
0.2%
Space Separator 51
 
0.1%
Lowercase Letter 20
 
< 0.1%
Uppercase Letter 19
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 269
15.3%
악 265
15.1%
식 179
10.2%
농 154
8.8%
음 148
8.4%
산 88
 
5.0%
물 88
 
5.0%
점 80
 
4.6%
학 78
 
4.4%
교 78
 
4.4%
Other values (39) 327
18.6%
Decimal Number
ValueCountFrequency (%)
1 17678
45.4%
2 8433
21.7%
0 2192
 
5.6%
3 1821
 
4.7%
5 1680
 
4.3%
4 1651
 
4.2%
6 1565
 
4.0%
7 1427
 
3.7%
9 1326
 
3.4%
8 1154
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
o 5
25.0%
g 4
20.0%
m 4
20.0%
n 1
 
5.0%
f 1
 
5.0%
l 1
 
5.0%
r 1
 
5.0%
q 1
 
5.0%
k 1
 
5.0%
h 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
M 6
31.6%
G 6
31.6%
O 5
26.3%
R 2
 
10.5%
Dash Punctuation
ValueCountFrequency (%)
- 11337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50476
96.6%
Hangul 1754
 
3.4%
Latin 39
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 269
15.3%
악 265
15.1%
식 179
10.2%
농 154
8.8%
음 148
8.4%
산 88
 
5.0%
물 88
 
5.0%
점 80
 
4.6%
학 78
 
4.4%
교 78
 
4.4%
Other values (39) 327
18.6%
Common
ValueCountFrequency (%)
1 17678
35.0%
- 11337
22.5%
2 8433
16.7%
0 2192
 
4.3%
3 1821
 
3.6%
5 1680
 
3.3%
4 1651
 
3.3%
6 1565
 
3.1%
7 1427
 
2.8%
9 1326
 
2.6%
Other values (5) 1366
 
2.7%
Latin
ValueCountFrequency (%)
M 6
15.4%
G 6
15.4%
O 5
12.8%
o 5
12.8%
g 4
10.3%
m 4
10.3%
R 2
 
5.1%
n 1
 
2.6%
f 1
 
2.6%
l 1
 
2.6%
Other values (4) 4
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50515
96.6%
Hangul 1754
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 17678
35.0%
- 11337
22.4%
2 8433
16.7%
0 2192
 
4.3%
3 1821
 
3.6%
5 1680
 
3.3%
4 1651
 
3.3%
6 1565
 
3.1%
7 1427
 
2.8%
9 1326
 
2.6%
Other values (19) 1405
 
2.8%
Hangul
ValueCountFrequency (%)
관 269
15.3%
악 265
15.1%
식 179
10.2%
농 154
8.8%
음 148
8.4%
산 88
 
5.0%
물 88
 
5.0%
점 80
 
4.6%
학 78
 
4.4%
교 78
 
4.4%
Other values (39) 327
18.6%

수거사유코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
검사용
5674 
<NA>
2795 
기타
 
12
증거용
 
2
압류
 
2

Length

Max length4
Median length3
Mean length3.3277549
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 5674
66.9%
<NA> 2795
32.9%
기타 12
 
0.1%
증거용 2
 
< 0.1%
압류 2
 
< 0.1%

Length

2024-05-11T15:44:11.270131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:11.485420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 5674
66.9%
na 2795
32.9%
기타 12
 
0.1%
증거용 2
 
< 0.1%
압류 2
 
< 0.1%

업소명
Text

Distinct425
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2024-05-11T15:44:11.918794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length10.126223
Min length2

Characters and Unicode

Total characters85921
Distinct characters434
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)2.5%

Sample

1st row한성가든
2nd row봉천동진순자김밥
3rd row서유기
4th row낙성식당
5th row신림정
ValueCountFrequency (%)
관악점 1745
15.3%
관악농협농특산물백화점 1381
12.1%
주)gs리테일 1350
11.9%
홈플러스(주)서울남현점 1001
 
8.8%
주식회사 705
 
6.2%
거상티앤에스 667
 
5.9%
주)천성세이브마트 544
 
4.8%
드림마트 399
 
3.5%
롯데쇼핑주식회사 392
 
3.4%
주)원신산업(본점 213
 
1.9%
Other values (472) 2981
26.2%
2024-05-11T15:44:12.695132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 4766
 
5.5%
주 4624
 
5.4%
) 3790
 
4.4%
( 3790
 
4.4%
관 3546
 
4.1%
악 3512
 
4.1%
농 3092
 
3.6%
2893
 
3.4%
스 1879
 
2.2%
산 1730
 
2.0%
Other values (424) 52299
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72439
84.3%
Close Punctuation 3790
 
4.4%
Open Punctuation 3790
 
4.4%
Space Separator 2893
 
3.4%
Uppercase Letter 2828
 
3.3%
Other Punctuation 83
 
0.1%
Lowercase Letter 70
 
0.1%
Decimal Number 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 4766
 
6.6%
주 4624
 
6.4%
관 3546
 
4.9%
악 3512
 
4.8%
농 3092
 
4.3%
스 1879
 
2.6%
산 1730
 
2.4%
리 1701
 
2.3%
마 1689
 
2.3%
트 1580
 
2.2%
Other values (391) 44320
61.2%
Uppercase Letter
ValueCountFrequency (%)
S 1372
48.5%
G 1372
48.5%
R 18
 
0.6%
O 13
 
0.5%
I 12
 
0.4%
C 10
 
0.4%
B 8
 
0.3%
T 7
 
0.2%
U 6
 
0.2%
K 4
 
0.1%
Other values (5) 6
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
t 20
28.6%
e 10
14.3%
u 10
14.3%
k 10
14.3%
o 10
14.3%
a 10
14.3%
Decimal Number
ValueCountFrequency (%)
1 19
67.9%
2 4
 
14.3%
0 3
 
10.7%
7 1
 
3.6%
4 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 76
91.6%
＊ 3
 
3.6%
, 2
 
2.4%
？ 2
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 3790
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3790
100.0%
Space Separator
ValueCountFrequency (%)
2893
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72429
84.3%
Common 10584
 
12.3%
Latin 2898
 
3.4%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 4766
 
6.6%
주 4624
 
6.4%
관 3546
 
4.9%
악 3512
 
4.8%
농 3092
 
4.3%
스 1879
 
2.6%
산 1730
 
2.4%
리 1701
 
2.3%
마 1689
 
2.3%
트 1580
 
2.2%
Other values (389) 44310
61.2%
Latin
ValueCountFrequency (%)
S 1372
47.3%
G 1372
47.3%
t 20
 
0.7%
R 18
 
0.6%
O 13
 
0.4%
I 12
 
0.4%
e 10
 
0.3%
u 10
 
0.3%
k 10
 
0.3%
o 10
 
0.3%
Other values (11) 51
 
1.8%
Common
ValueCountFrequency (%)
) 3790
35.8%
( 3790
35.8%
2893
27.3%
. 76
 
0.7%
1 19
 
0.2%
2 4
 
< 0.1%
＊ 3
 
< 0.1%
0 3
 
< 0.1%
, 2
 
< 0.1%
？ 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
Han
ValueCountFrequency (%)
美 5
50.0%
談 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72429
84.3%
ASCII 13477
 
15.7%
CJK 10
 
< 0.1%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 4766
 
6.6%
주 4624
 
6.4%
관 3546
 
4.9%
악 3512
 
4.8%
농 3092
 
4.3%
스 1879
 
2.6%
산 1730
 
2.4%
리 1701
 
2.3%
마 1689
 
2.3%
트 1580
 
2.2%
Other values (389) 44310
61.2%
ASCII
ValueCountFrequency (%)
) 3790
28.1%
( 3790
28.1%
2893
21.5%
S 1372
 
10.2%
G 1372
 
10.2%
. 76
 
0.6%
t 20
 
0.1%
1 19
 
0.1%
R 18
 
0.1%
O 13
 
0.1%
Other values (21) 114
 
0.8%
CJK
ValueCountFrequency (%)
美 5
50.0%
談 5
50.0%
None
ValueCountFrequency (%)
＊ 3
60.0%
？ 2
40.0%

식품군코드
Text

MISSING 

Distinct306
Distinct (%)3.7%
Missing251
Missing (%)3.0%
Memory size66.4 KiB
2024-05-11T15:44:13.028793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length10.426281
Min length1

Characters and Unicode

Total characters85850
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)0.9%

Sample

1st rowG01000000
2nd rowG0100000100000
3rd row
4th row
5th row121000000
ValueCountFrequency (%)
c01000000 646
 
8.0%
818000000 307
 
3.8%
821000000 303
 
3.8%
g0100000100000 286
 
3.5%
201000000 284
 
3.5%
801000000 245
 
3.0%
829000000 233
 
2.9%
830000000 230
 
2.8%
214000000 202
 
2.5%
121000000 182
 
2.3%
Other values (294) 5162
63.9%
2024-05-11T15:44:13.646466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59441
69.2%
1 8703
 
10.1%
2 4453
 
5.2%
8 3632
 
4.2%
C 2485
 
2.9%
3 1645
 
1.9%
1338
 
1.6%
4 952
 
1.1%
9 810
 
0.9%
5 785
 
0.9%
Other values (11) 1606
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81351
94.8%
Uppercase Letter 3161
 
3.7%
Space Separator 1338
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59441
73.1%
1 8703
 
10.7%
2 4453
 
5.5%
8 3632
 
4.5%
3 1645
 
2.0%
4 952
 
1.2%
9 810
 
1.0%
5 785
 
1.0%
7 475
 
0.6%
6 455
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 2485
78.6%
G 428
 
13.5%
A 59
 
1.9%
E 56
 
1.8%
B 37
 
1.2%
F 30
 
0.9%
H 23
 
0.7%
X 20
 
0.6%
Z 19
 
0.6%
D 4
 
0.1%
Space Separator
ValueCountFrequency (%)
1338
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82689
96.3%
Latin 3161
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59441
71.9%
1 8703
 
10.5%
2 4453
 
5.4%
8 3632
 
4.4%
3 1645
 
2.0%
1338
 
1.6%
4 952
 
1.2%
9 810
 
1.0%
5 785
 
0.9%
7 475
 
0.6%
Latin
ValueCountFrequency (%)
C 2485
78.6%
G 428
 
13.5%
A 59
 
1.9%
E 56
 
1.8%
B 37
 
1.2%
F 30
 
0.9%
H 23
 
0.7%
X 20
 
0.6%
Z 19
 
0.6%
D 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59441
69.2%
1 8703
 
10.1%
2 4453
 
5.2%
8 3632
 
4.2%
C 2485
 
2.9%
3 1645
 
1.9%
1338
 
1.6%
4 952
 
1.1%
9 810
 
0.9%
5 785
 
0.9%
Other values (11) 1606
 
1.9%

식품군
Text

MISSING 

Distinct243
Distinct (%)3.3%
Missing1093
Missing (%)12.9%
Memory size66.4 KiB
2024-05-11T15:44:14.217294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length40
Mean length5.0879329
Min length2

Characters and Unicode

Total characters37610
Distinct characters300
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

Unique58 ?
Unique (%)0.8%

Sample

1st row조리식품 등
2nd row식육류중육류
3rd row식육류중육류
4th row식육류중육류
5th row식육류중육류
ValueCountFrequency (%)
과자류 529
 
5.7%
조미식품 505
 
5.4%
음료류 480
 
5.2%
등 394
 
4.3%
기타식품류 361
 
3.9%
면류 354
 
3.8%
다류 332
 
3.6%
조리식품 286
 
3.1%
규격외일반가공식품 230
 
2.5%
주류 227
 
2.4%
Other values (268) 5569
60.1%
2024-05-11T15:44:14.898015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 4330
 
11.5%
식 2577
 
6.9%
품 2500
 
6.6%
1875
 
5.0%
가 1105
 
2.9%
기 985
 
2.6%
조 922
 
2.5%
공 865
 
2.3%
과 840
 
2.2%
음 816
 
2.2%
Other values (290) 20795
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34757
92.4%
Space Separator 1875
 
5.0%
Other Punctuation 490
 
1.3%
Open Punctuation 194
 
0.5%
Close Punctuation 194
 
0.5%
Lowercase Letter 41
 
0.1%
Uppercase Letter 40
 
0.1%
Decimal Number 14
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 4330
 
12.5%
식 2577
 
7.4%
품 2500
 
7.2%
가 1105
 
3.2%
기 985
 
2.8%
조 922
 
2.7%
공 865
 
2.5%
과 840
 
2.4%
음 816
 
2.3%
자 750
 
2.2%
Other values (248) 19067
54.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
14.6%
l 6
14.6%
y 3
 
7.3%
t 3
 
7.3%
n 3
 
7.3%
c 2
 
4.9%
h 2
 
4.9%
o 2
 
4.9%
s 2
 
4.9%
a 2
 
4.9%
Other values (7) 10
24.4%
Uppercase Letter
ValueCountFrequency (%)
A 8
20.0%
C 7
17.5%
D 6
15.0%
N 4
10.0%
M 3
 
7.5%
B 2
 
5.0%
H 2
 
5.0%
P 2
 
5.0%
E 2
 
5.0%
L 1
 
2.5%
Other values (3) 3
 
7.5%
Other Punctuation
ValueCountFrequency (%)
, 298
60.8%
. 157
32.0%
/ 20
 
4.1%
? 15
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 8
57.1%
2 4
28.6%
9 1
 
7.1%
0 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1875
100.0%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34757
92.4%
Common 2772
 
7.4%
Latin 81
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 4330
 
12.5%
식 2577
 
7.4%
품 2500
 
7.2%
가 1105
 
3.2%
기 985
 
2.8%
조 922
 
2.7%
공 865
 
2.5%
과 840
 
2.4%
음 816
 
2.3%
자 750
 
2.2%
Other values (248) 19067
54.9%
Latin
ValueCountFrequency (%)
A 8
 
9.9%
C 7
 
8.6%
e 6
 
7.4%
D 6
 
7.4%
l 6
 
7.4%
N 4
 
4.9%
y 3
 
3.7%
t 3
 
3.7%
n 3
 
3.7%
M 3
 
3.7%
Other values (20) 32
39.5%
Common
ValueCountFrequency (%)
1875
67.6%
, 298
 
10.8%
( 194
 
7.0%
) 194
 
7.0%
. 157
 
5.7%
/ 20
 
0.7%
? 15
 
0.5%
1 8
 
0.3%
- 5
 
0.2%
2 4
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34757
92.4%
ASCII 2853
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 4330
 
12.5%
식 2577
 
7.4%
품 2500
 
7.2%
가 1105
 
3.2%
기 985
 
2.8%
조 922
 
2.7%
공 865
 
2.5%
과 840
 
2.4%
음 816
 
2.3%
자 750
 
2.2%
Other values (248) 19067
54.9%
ASCII
ValueCountFrequency (%)
1875
65.7%
, 298
 
10.4%
( 194
 
6.8%
) 194
 
6.8%
. 157
 
5.5%
/ 20
 
0.7%
? 15
 
0.5%
A 8
 
0.3%
1 8
 
0.3%
C 7
 
0.2%
Other values (32) 77
 
2.7%

품목명
Text

MISSING 

Distinct444
Distinct (%)5.3%
Missing164
Missing (%)1.9%
Memory size66.4 KiB
2024-05-11T15:44:15.381716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length40
Mean length5.1186156
Min length1

Characters and Unicode

Total characters42592
Distinct characters388
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

Unique100 ?
Unique (%)1.2%

Sample

1st row조리식품 등
2nd row조리식품 등
3rd row소고기
4th row소고기
5th row소고기
ValueCountFrequency (%)
등 610
 
5.7%
조리식품 494
 
4.6%
과자 362
 
3.4%
소스류 359
 
3.3%
유탕면류 341
 
3.2%
기타가공품 225
 
2.1%
혼합음료 216
 
2.0%
초콜릿가공품 211
 
2.0%
탄산음료 201
 
1.9%
소고기 184
 
1.7%
Other values (470) 7516
70.1%
2024-05-11T15:44:16.171142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2398
 
5.6%
류 2076
 
4.9%
품 1803
 
4.2%
가 1429
 
3.4%
기 1346
 
3.2%
식 1224
 
2.9%
공 1021
 
2.4%
조 997
 
2.3%
과 913
 
2.1%
리 877
 
2.1%
Other values (378) 28508
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38258
89.8%
Space Separator 2398
 
5.6%
Other Punctuation 744
 
1.7%
Open Punctuation 542
 
1.3%
Close Punctuation 542
 
1.3%
Uppercase Letter 44
 
0.1%
Lowercase Letter 41
 
0.1%
Decimal Number 15
 
< 0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 2076
 
5.4%
품 1803
 
4.7%
가 1429
 
3.7%
기 1346
 
3.5%
식 1224
 
3.2%
공 1021
 
2.7%
조 997
 
2.6%
과 913
 
2.4%
리 877
 
2.3%
스 795
 
2.1%
Other values (336) 25777
67.4%
Lowercase Letter
ValueCountFrequency (%)
l 6
14.6%
e 6
14.6%
t 3
 
7.3%
n 3
 
7.3%
y 3
 
7.3%
c 2
 
4.9%
u 2
 
4.9%
o 2
 
4.9%
s 2
 
4.9%
a 2
 
4.9%
Other values (7) 10
24.4%
Uppercase Letter
ValueCountFrequency (%)
C 8
18.2%
A 8
18.2%
D 6
13.6%
N 4
9.1%
L 4
9.1%
M 3
 
6.8%
H 2
 
4.5%
B 2
 
4.5%
P 2
 
4.5%
E 2
 
4.5%
Other values (3) 3
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 366
49.2%
. 328
44.1%
? 30
 
4.0%
/ 20
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 8
53.3%
2 5
33.3%
0 1
 
6.7%
9 1
 
6.7%
Space Separator
ValueCountFrequency (%)
2398
100.0%
Open Punctuation
ValueCountFrequency (%)
( 542
100.0%
Close Punctuation
ValueCountFrequency (%)
) 542
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38258
89.8%
Common 4249
 
10.0%
Latin 85
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 2076
 
5.4%
품 1803
 
4.7%
가 1429
 
3.7%
기 1346
 
3.5%
식 1224
 
3.2%
공 1021
 
2.7%
조 997
 
2.6%
과 913
 
2.4%
리 877
 
2.3%
스 795
 
2.1%
Other values (336) 25777
67.4%
Latin
ValueCountFrequency (%)
C 8
 
9.4%
A 8
 
9.4%
l 6
 
7.1%
e 6
 
7.1%
D 6
 
7.1%
N 4
 
4.7%
L 4
 
4.7%
t 3
 
3.5%
n 3
 
3.5%
M 3
 
3.5%
Other values (20) 34
40.0%
Common
ValueCountFrequency (%)
2398
56.4%
( 542
 
12.8%
) 542
 
12.8%
, 366
 
8.6%
. 328
 
7.7%
? 30
 
0.7%
/ 20
 
0.5%
- 8
 
0.2%
1 8
 
0.2%
2 5
 
0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38258
89.8%
ASCII 4334
 
10.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2398
55.3%
( 542
 
12.5%
) 542
 
12.5%
, 366
 
8.4%
. 328
 
7.6%
? 30
 
0.7%
/ 20
 
0.5%
- 8
 
0.2%
C 8
 
0.2%
1 8
 
0.2%
Other values (32) 84
 
1.9%
Hangul
ValueCountFrequency (%)
류 2076
 
5.4%
품 1803
 
4.7%
가 1429
 
3.7%
기 1346
 
3.5%
식 1224
 
3.2%
공 1021
 
2.7%
조 997
 
2.6%
과 913
 
2.4%
리 877
 
2.3%
스 795
 
2.1%
Other values (336) 25777
67.4%

제품명
Text

Distinct5860
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2024-05-11T15:44:16.699886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length43
Mean length7.3745433
Min length1

Characters and Unicode

Total characters62573
Distinct characters944
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4697 ?
Unique (%)55.4%

Sample

1st row냉면육수
2nd row김밥
3rd row생맥주
4th row개고기(식육)
5th row등심
ValueCountFrequency (%)
자판기커피 89
 
0.7%
쌀 76
 
0.6%
오뚜기 72
 
0.6%
청정원 67
 
0.5%
부침가루 40
 
0.3%
커피믹스 37
 
0.3%
백설 35
 
0.3%
동원 35
 
0.3%
썬키스트 34
 
0.3%
맥심 33
 
0.3%
Other values (6356) 11936
95.8%
2024-05-11T15:44:17.508956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3978
 
6.4%
스 1647
 
2.6%
이 1151
 
1.8%
리 1148
 
1.8%
기 945
 
1.5%
드 743
 
1.2%
오 740
 
1.2%
가 688
 
1.1%
레 653
 
1.0%
치 639
 
1.0%
Other values (934) 50241
80.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53918
86.2%
Space Separator 3978
 
6.4%
Uppercase Letter 2294
 
3.7%
Decimal Number 879
 
1.4%
Lowercase Letter 537
 
0.9%
Close Punctuation 315
 
0.5%
Open Punctuation 315
 
0.5%
Other Punctuation 236
 
0.4%
Dash Punctuation 85
 
0.1%
Math Symbol 14
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1647
 
3.1%
이 1151
 
2.1%
리 1148
 
2.1%
기 945
 
1.8%
드 743
 
1.4%
오 740
 
1.4%
가 688
 
1.3%
레 653
 
1.2%
치 639
 
1.2%
고 637
 
1.2%
Other values (855) 44927
83.3%
Uppercase Letter
ValueCountFrequency (%)
E 223
 
9.7%
A 207
 
9.0%
O 178
 
7.8%
I 165
 
7.2%
R 164
 
7.1%
C 164
 
7.1%
S 138
 
6.0%
N 126
 
5.5%
T 125
 
5.4%
L 115
 
5.0%
Other values (16) 689
30.0%
Lowercase Letter
ValueCountFrequency (%)
a 60
11.2%
e 55
 
10.2%
o 50
 
9.3%
m 48
 
8.9%
p 45
 
8.4%
i 31
 
5.8%
r 31
 
5.8%
l 28
 
5.2%
c 25
 
4.7%
s 24
 
4.5%
Other values (13) 140
26.1%
Other Punctuation
ValueCountFrequency (%)
& 47
19.9%
. 44
18.6%
% 41
17.4%
/ 33
14.0%
; 27
11.4%
, 21
8.9%
' 8
 
3.4%
？ 5
 
2.1%
? 4
 
1.7%
! 4
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 237
27.0%
0 214
24.3%
3 165
18.8%
2 125
14.2%
5 42
 
4.8%
4 29
 
3.3%
7 27
 
3.1%
6 17
 
1.9%
9 12
 
1.4%
8 11
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 12
85.7%
= 1
 
7.1%
~ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
3978
100.0%
Close Punctuation
ValueCountFrequency (%)
) 315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Symbol
ValueCountFrequency (%)
● 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53902
86.1%
Common 5823
 
9.3%
Latin 2831
 
4.5%
Han 16
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1647
 
3.1%
이 1151
 
2.1%
리 1148
 
2.1%
기 945
 
1.8%
드 743
 
1.4%
오 740
 
1.4%
가 688
 
1.3%
레 653
 
1.2%
치 639
 
1.2%
고 637
 
1.2%
Other values (847) 44911
83.3%
Latin
ValueCountFrequency (%)
E 223
 
7.9%
A 207
 
7.3%
O 178
 
6.3%
I 165
 
5.8%
R 164
 
5.8%
C 164
 
5.8%
S 138
 
4.9%
N 126
 
4.5%
T 125
 
4.4%
L 115
 
4.1%
Other values (39) 1226
43.3%
Common
ValueCountFrequency (%)
3978
68.3%
) 315
 
5.4%
( 315
 
5.4%
1 237
 
4.1%
0 214
 
3.7%
3 165
 
2.8%
2 125
 
2.1%
- 85
 
1.5%
& 47
 
0.8%
. 44
 
0.8%
Other values (19) 298
 
5.1%
Han
ValueCountFrequency (%)
茶 6
37.5%
男 2
 
12.5%
生 2
 
12.5%
辛 2
 
12.5%
家 1
 
6.2%
泉 1
 
6.2%
淵 1
 
6.2%
愛 1
 
6.2%
Greek
ValueCountFrequency (%)
π 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53902
86.1%
ASCII 8647
 
13.8%
CJK 10
 
< 0.1%
CJK Compat Ideographs 6
 
< 0.1%
None 6
 
< 0.1%
Number Forms 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3978
46.0%
) 315
 
3.6%
( 315
 
3.6%
1 237
 
2.7%
E 223
 
2.6%
0 214
 
2.5%
A 207
 
2.4%
O 178
 
2.1%
I 165
 
1.9%
3 165
 
1.9%
Other values (65) 2650
30.6%
Hangul
ValueCountFrequency (%)
스 1647
 
3.1%
이 1151
 
2.1%
리 1148
 
2.1%
기 945
 
1.8%
드 743
 
1.4%
오 740
 
1.4%
가 688
 
1.3%
레 653
 
1.2%
치 639
 
1.2%
고 637
 
1.2%
Other values (847) 44911
83.3%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 6
100.0%
None
ValueCountFrequency (%)
？ 5
83.3%
π 1
 
16.7%
CJK
ValueCountFrequency (%)
男 2
20.0%
生 2
20.0%
辛 2
20.0%
家 1
10.0%
泉 1
10.0%
淵 1
10.0%
愛 1
10.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
● 1
100.0%

음식물명
Text

MISSING 

Distinct45
Distinct (%)51.7%
Missing8398
Missing (%)99.0%
Memory size66.4 KiB
2024-05-11T15:44:17.854943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.1494253
Min length1

Characters and Unicode

Total characters361
Distinct characters98
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

Unique34 ?
Unique (%)39.1%

Sample

1st row김밥
2nd row모둠전
3rd row모듬전
4th row떡볶이
5th row슬러쉬
ValueCountFrequency (%)
자판기커피 30
34.5%
슬러쉬 3
 
3.4%
떡류 3
 
3.4%
밀크커피 3
 
3.4%
닭튀김 2
 
2.3%
모듬전 2
 
2.3%
두부 2
 
2.3%
김밥 2
 
2.3%
제육볶음 2
 
2.3%
음용수 2
 
2.3%
Other values (35) 36
41.4%
2024-05-11T15:44:18.444860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
피 34
 
9.4%
기 33
 
9.1%
커 33
 
9.1%
자 32
 
8.9%
판 30
 
8.3%
음 11
 
3.0%
밥 11
 
3.0%
초 9
 
2.5%
볶 8
 
2.2%
치 6
 
1.7%
Other values (88) 154
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
피 34
 
9.4%
기 33
 
9.1%
커 33
 
9.1%
자 32
 
8.9%
판 30
 
8.3%
음 11
 
3.0%
밥 11
 
3.0%
초 9
 
2.5%
볶 8
 
2.2%
치 6
 
1.7%
Other values (88) 154
42.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
피 34
 
9.4%
기 33
 
9.1%
커 33
 
9.1%
자 32
 
8.9%
판 30
 
8.3%
음 11
 
3.0%
밥 11
 
3.0%
초 9
 
2.5%
볶 8
 
2.2%
치 6
 
1.7%
Other values (88) 154
42.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
피 34
 
9.4%
기 33
 
9.1%
커 33
 
9.1%
자 32
 
8.9%
판 30
 
8.3%
음 11
 
3.0%
밥 11
 
3.0%
초 9
 
2.5%
볶 8
 
2.2%
치 6
 
1.7%
Other values (88) 154
42.7%

원료명
Text

MISSING 

Distinct19
Distinct (%)86.4%
Missing8463
Missing (%)99.7%
Memory size66.4 KiB
2024-05-11T15:44:18.742766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.1363636
Min length1

Characters and Unicode

Total characters69
Distinct characters48
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)77.3%

Sample

1st row티마미스
2nd row음
3rd row수족관수
4th row생선
5th row물
ValueCountFrequency (%)
밀크커피 3
 
12.5%
돈육 2
 
8.3%
콩 2
 
8.3%
당면 1
 
4.2%
티마미스 1
 
4.2%
핫초코 1
 
4.2%
율무차 1
 
4.2%
대두 1
 
4.2%
참깨 1
 
4.2%
무 1
 
4.2%
Other values (10) 10
41.7%
2024-05-11T15:44:19.207235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
피 4
 
5.8%
밀 3
 
4.3%
커 3
 
4.3%
크 3
 
4.3%
수 3
 
4.3%
2
 
2.9%
스 2
 
2.9%
치 2
 
2.9%
무 2
 
2.9%
, 2
 
2.9%
Other values (38) 43
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65
94.2%
Space Separator 2
 
2.9%
Other Punctuation 2
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
피 4
 
6.2%
밀 3
 
4.6%
커 3
 
4.6%
크 3
 
4.6%
수 3
 
4.6%
스 2
 
3.1%
치 2
 
3.1%
무 2
 
3.1%
미 2
 
3.1%
음 2
 
3.1%
Other values (36) 39
60.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65
94.2%
Common 4
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
피 4
 
6.2%
밀 3
 
4.6%
커 3
 
4.6%
크 3
 
4.6%
수 3
 
4.6%
스 2
 
3.1%
치 2
 
3.1%
무 2
 
3.1%
미 2
 
3.1%
음 2
 
3.1%
Other values (36) 39
60.0%
Common
ValueCountFrequency (%)
2
50.0%
, 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65
94.2%
ASCII 4
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
피 4
 
6.2%
밀 3
 
4.6%
커 3
 
4.6%
크 3
 
4.6%
수 3
 
4.6%
스 2
 
3.1%
치 2
 
3.1%
무 2
 
3.1%
미 2
 
3.1%
음 2
 
3.1%
Other values (36) 39
60.0%
ASCII
ValueCountFrequency (%)
2
50.0%
, 2
50.0%

생산업소
Text

MISSING 

Distinct158
Distinct (%)43.6%
Missing8123
Missing (%)95.7%
Memory size66.4 KiB
2024-05-11T15:44:19.559018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length9.0718232
Min length2

Characters and Unicode

Total characters3284
Distinct characters288
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)28.2%

Sample

1st row봉이전
2nd row삿뽀로
3rd row(주)상진/ 경기도 김포시 월곶면 대곶로484번길 43-39
4th row서울특별시 관악구 남부순환로 1810, 1층
5th row참존박스
ValueCountFrequency (%)
대상(주 21
 
4.4%
주식회사오뚜기 18
 
3.8%
씨제이제일제당(주 15
 
3.2%
주)동원f&amp;b 14
 
3.0%
동서식품 12
 
2.5%
주)크라운제과 10
 
2.1%
주식회사 10
 
2.1%
오뚜기삼화식품(주 10
 
2.1%
초야식품 8
 
1.7%
monin 8
 
1.7%
Other values (225) 347
73.4%
2024-05-11T15:44:20.222374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 224
 
6.8%
( 180
 
5.5%
) 180
 
5.5%
111
 
3.4%
식 102
 
3.1%
제 77
 
2.3%
N 59
 
1.8%
사 59
 
1.8%
품 57
 
1.7%
동 53
 
1.6%
Other values (278) 2182
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2027
61.7%
Uppercase Letter 523
 
15.9%
Open Punctuation 180
 
5.5%
Close Punctuation 180
 
5.5%
Lowercase Letter 179
 
5.5%
Space Separator 111
 
3.4%
Other Punctuation 62
 
1.9%
Decimal Number 19
 
0.6%
Dash Punctuation 2
 
0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 224
 
11.1%
식 102
 
5.0%
제 77
 
3.8%
사 59
 
2.9%
품 57
 
2.8%
동 53
 
2.6%
회 47
 
2.3%
오 44
 
2.2%
농 42
 
2.1%
뚜 38
 
1.9%
Other values (212) 1284
63.3%
Uppercase Letter
ValueCountFrequency (%)
N 59
 
11.3%
A 53
 
10.1%
I 45
 
8.6%
O 37
 
7.1%
E 30
 
5.7%
T 29
 
5.5%
F 28
 
5.4%
B 25
 
4.8%
C 25
 
4.8%
S 24
 
4.6%
Other values (16) 168
32.1%
Lowercase Letter
ValueCountFrequency (%)
a 33
18.4%
m 25
14.0%
p 23
12.8%
o 13
 
7.3%
r 11
 
6.1%
e 10
 
5.6%
n 9
 
5.0%
i 9
 
5.0%
d 8
 
4.5%
l 7
 
3.9%
Other values (13) 31
17.3%
Other Punctuation
ValueCountFrequency (%)
; 21
33.9%
& 21
33.9%
. 12
19.4%
, 6
 
9.7%
@ 1
 
1.6%
/ 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 7
36.8%
4 6
31.6%
8 2
 
10.5%
3 2
 
10.5%
9 1
 
5.3%
0 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 180
100.0%
Close Punctuation
ValueCountFrequency (%)
) 180
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2027
61.7%
Latin 702
 
21.4%
Common 555
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 224
 
11.1%
식 102
 
5.0%
제 77
 
3.8%
사 59
 
2.9%
품 57
 
2.8%
동 53
 
2.6%
회 47
 
2.3%
오 44
 
2.2%
농 42
 
2.1%
뚜 38
 
1.9%
Other values (212) 1284
63.3%
Latin
ValueCountFrequency (%)
N 59
 
8.4%
A 53
 
7.5%
I 45
 
6.4%
O 37
 
5.3%
a 33
 
4.7%
E 30
 
4.3%
T 29
 
4.1%
F 28
 
4.0%
m 25
 
3.6%
B 25
 
3.6%
Other values (39) 338
48.1%
Common
ValueCountFrequency (%)
( 180
32.4%
) 180
32.4%
111
20.0%
; 21
 
3.8%
& 21
 
3.8%
. 12
 
2.2%
1 7
 
1.3%
, 6
 
1.1%
4 6
 
1.1%
8 2
 
0.4%
Other values (7) 9
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2027
61.7%
ASCII 1256
38.2%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 224
 
11.1%
식 102
 
5.0%
제 77
 
3.8%
사 59
 
2.9%
품 57
 
2.8%
동 53
 
2.6%
회 47
 
2.3%
오 44
 
2.2%
농 42
 
2.1%
뚜 38
 
1.9%
Other values (212) 1284
63.3%
ASCII
ValueCountFrequency (%)
( 180
 
14.3%
) 180
 
14.3%
111
 
8.8%
N 59
 
4.7%
A 53
 
4.2%
I 45
 
3.6%
O 37
 
2.9%
a 33
 
2.6%
E 30
 
2.4%
T 29
 
2.3%
Other values (55) 499
39.7%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

수거일자
Real number (ℝ)

Distinct386
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20137886
Minimum20031113
Maximum21030123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:20.492325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031113
5-th percentile20080728
Q120101206
median20140122
Q320161110
95-th percentile20211018
Maximum21030123
Range999010
Interquartile range (IQR)59904

Descriptive statistics

Standard deviation41371.543
Coefficient of variation (CV)0.0020544134
Kurtosis48.108142
Mean20137886
Median Absolute Deviation (MAD)29417
Skewness2.6727072
Sum1.7086996 × 1011
Variance1.7116045 × 109
MonotonicityNot monotonic
2024-05-11T15:44:20.851481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131001 183
 
2.2%
20141203 167
 
2.0%
20131023 156
 
1.8%
20190620 142
 
1.7%
20121207 131
 
1.5%
20140716 126
 
1.5%
20140618 124
 
1.5%
20090707 107
 
1.3%
20091103 104
 
1.2%
20140122 102
 
1.2%
Other values (376) 7143
84.2%
ValueCountFrequency (%)
20031113 3
 
< 0.1%
20041108 1
 
< 0.1%
20070724 1
 
< 0.1%
20070801 42
0.5%
20070913 59
0.7%
20071024 36
0.4%
20080131 57
0.7%
20080215 7
 
0.1%
20080429 75
0.9%
20080508 1
 
< 0.1%
ValueCountFrequency (%)
21030123 1
 
< 0.1%
21011113 1
 
< 0.1%
20240312 8
 
0.1%
20240310 1
 
< 0.1%
20240307 2
 
< 0.1%
20240220 1
 
< 0.1%
20240117 1
 
< 0.1%
20240115 2
 
< 0.1%
20240102 72
0.8%
20231229 39
0.5%

수거량(정량)
Real number (ℝ)

MISSING 

Distinct289
Distinct (%)3.6%
Missing351
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean186.31984
Minimum1
Maximum4800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:21.132775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q38
95-th percentile1080
Maximum4800
Range4799
Interquartile range (IQR)6

Descriptive statistics

Standard deviation442.81715
Coefficient of variation (CV)2.3766505
Kurtosis15.98831
Mean186.31984
Median Absolute Deviation (MAD)2
Skewness3.4790688
Sum1515525.6
Variance196087.03
MonotonicityNot monotonic
2024-05-11T15:44:21.393513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 2399
28.3%
1.0 1267
14.9%
3.0 992
11.7%
6.0 575
 
6.8%
4.0 433
 
5.1%
5.0 321
 
3.8%
600.0 256
 
3.0%
8.0 97
 
1.1%
1200.0 83
 
1.0%
720.0 82
 
1.0%
Other values (279) 1629
19.2%
(Missing) 351
 
4.1%
ValueCountFrequency (%)
1.0 1267
14.9%
2.0 2399
28.3%
3.0 992
11.7%
4.0 433
 
5.1%
5.0 321
 
3.8%
6.0 575
 
6.8%
7.0 59
 
0.7%
8.0 97
 
1.1%
9.0 11
 
0.1%
10.0 51
 
0.6%
ValueCountFrequency (%)
4800.0 1
 
< 0.1%
4500.0 1
 
< 0.1%
4200.0 1
 
< 0.1%
3600.0 5
 
0.1%
3400.0 1
 
< 0.1%
3300.0 1
 
< 0.1%
3210.0 1
 
< 0.1%
3030.0 2
 
< 0.1%
3000.0 17
0.2%
2994.0 1
 
< 0.1%

제품규격(정량)
Text

MISSING 

Distinct592
Distinct (%)9.8%
Missing2440
Missing (%)28.8%
Memory size66.4 KiB
2024-05-11T15:44:21.999828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length2.9402812
Min length1

Characters and Unicode

Total characters17774
Distinct characters33
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)3.9%

Sample

1st row600
2nd row100
3rd row100
4th row140
5th row140
ValueCountFrequency (%)
500 483
 
8.0%
100 362
 
6.0%
200 335
 
5.5%
300 298
 
4.9%
1 245
 
4.1%
150 199
 
3.3%
250 187
 
3.1%
400 178
 
2.9%
600 164
 
2.7%
350 113
 
1.9%
Other values (574) 3482
57.6%
2024-05-11T15:44:22.829618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6626
37.3%
5 2128
 
12.0%
1 1995
 
11.2%
2 1828
 
10.3%
3 1268
 
7.1%
4 883
 
5.0%
6 617
 
3.5%
8 534
 
3.0%
g 508
 
2.9%
7 428
 
2.4%
Other values (23) 959
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16662
93.7%
Lowercase Letter 897
 
5.0%
Other Punctuation 187
 
1.1%
Uppercase Letter 21
 
0.1%
Other Letter 6
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6626
39.8%
5 2128
 
12.8%
1 1995
 
12.0%
2 1828
 
11.0%
3 1268
 
7.6%
4 883
 
5.3%
6 617
 
3.7%
8 534
 
3.2%
7 428
 
2.6%
9 355
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
g 508
56.6%
m 166
 
18.5%
l 162
 
18.1%
k 38
 
4.2%
p 8
 
0.9%
a 5
 
0.6%
e 5
 
0.6%
o 2
 
0.2%
c 2
 
0.2%
q 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
G 7
33.3%
L 6
28.6%
M 4
19.0%
T 2
 
9.5%
O 2
 
9.5%
Other Letter
ValueCountFrequency (%)
ㅎ 2
33.3%
ㅇ 2
33.3%
개 1
16.7%
매 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 184
98.4%
* 2
 
1.1%
, 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16850
94.8%
Latin 918
 
5.2%
Hangul 6
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 508
55.3%
m 166
 
18.1%
l 162
 
17.6%
k 38
 
4.1%
p 8
 
0.9%
G 7
 
0.8%
L 6
 
0.7%
a 5
 
0.5%
e 5
 
0.5%
M 4
 
0.4%
Other values (5) 9
 
1.0%
Common
ValueCountFrequency (%)
0 6626
39.3%
5 2128
 
12.6%
1 1995
 
11.8%
2 1828
 
10.8%
3 1268
 
7.5%
4 883
 
5.2%
6 617
 
3.7%
8 534
 
3.2%
7 428
 
2.5%
9 355
 
2.1%
Other values (4) 188
 
1.1%
Hangul
ValueCountFrequency (%)
ㅎ 2
33.3%
ㅇ 2
33.3%
개 1
16.7%
매 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17768
> 99.9%
Compat Jamo 4
 
< 0.1%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6626
37.3%
5 2128
 
12.0%
1 1995
 
11.2%
2 1828
 
10.3%
3 1268
 
7.1%
4 883
 
5.0%
6 617
 
3.5%
8 534
 
3.0%
g 508
 
2.9%
7 428
 
2.4%
Other values (19) 953
 
5.4%
Compat Jamo
ValueCountFrequency (%)
ㅎ 2
50.0%
ㅇ 2
50.0%
Hangul
ValueCountFrequency (%)
개 1
50.0%
매 1
50.0%

단위(정량)
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
g
3988 
<NA>
3146 
ML
906 
KG
 
359
LT
 
79

Length

Max length4
Median length2
Mean length2.270713
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
g 3988
47.0%
<NA> 3146
37.1%
ML 906
 
10.7%
KG 359
 
4.2%
LT 79
 
0.9%
매 7
 
0.1%

Length

2024-05-11T15:44:23.111185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:23.332050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g 3988
47.0%
na 3146
37.1%
ml 906
 
10.7%
kg 359
 
4.2%
lt 79
 
0.9%
매 7
 
0.1%

수거량(자유)
Text

MISSING 

Distinct74
Distinct (%)21.1%
Missing8134
Missing (%)95.9%
Memory size66.4 KiB
2024-05-11T15:44:23.683090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length3.2079772
Min length1

Characters and Unicode

Total characters1126
Distinct characters56
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

Unique47 ?
Unique (%)13.4%

Sample

1st row600g
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 96
24.2%
1개 70
17.7%
3개 51
12.9%
보존식1 29
 
7.3%
15
 
3.8%
2개 9
 
2.3%
600그램 9
 
2.3%
피펫1개 8
 
2.0%
6개 6
 
1.5%
600g 4
 
1.0%
Other values (65) 99
25.0%
2024-05-11T15:44:24.283218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 244
21.7%
개 189
16.8%
0 86
 
7.6%
3 79
 
7.0%
* 66
 
5.9%
2 51
 
4.5%
45
 
4.0%
5 36
 
3.2%
보 29
 
2.6%
존 29
 
2.6%
Other values (46) 272
24.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
48.0%
Other Letter 388
34.5%
Other Punctuation 67
 
6.0%
Lowercase Letter 47
 
4.2%
Space Separator 45
 
4.0%
Uppercase Letter 25
 
2.2%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 189
48.7%
보 29
 
7.5%
존 29
 
7.5%
식 29
 
7.5%
램 11
 
2.8%
입 11
 
2.8%
그 11
 
2.8%
펫 10
 
2.6%
피 10
 
2.6%
리 8
 
2.1%
Other values (17) 51
 
13.1%
Lowercase Letter
ValueCountFrequency (%)
m 22
46.8%
g 9
19.1%
l 6
 
12.8%
c 3
 
6.4%
e 2
 
4.3%
t 1
 
2.1%
k 1
 
2.1%
h 1
 
2.1%
s 1
 
2.1%
p 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 244
45.2%
0 86
 
15.9%
3 79
 
14.6%
2 51
 
9.4%
5 36
 
6.7%
6 22
 
4.1%
4 15
 
2.8%
8 6
 
1.1%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 20
80.0%
X 3
 
12.0%
R 1
 
4.0%
O 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 66
98.5%
, 1
 
1.5%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 666
59.1%
Hangul 388
34.5%
Latin 72
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 189
48.7%
보 29
 
7.5%
존 29
 
7.5%
식 29
 
7.5%
램 11
 
2.8%
입 11
 
2.8%
그 11
 
2.8%
펫 10
 
2.6%
피 10
 
2.6%
리 8
 
2.1%
Other values (17) 51
 
13.1%
Common
ValueCountFrequency (%)
1 244
36.6%
0 86
 
12.9%
3 79
 
11.9%
* 66
 
9.9%
2 51
 
7.7%
45
 
6.8%
5 36
 
5.4%
6 22
 
3.3%
4 15
 
2.3%
8 6
 
0.9%
Other values (5) 16
 
2.4%
Latin
ValueCountFrequency (%)
m 22
30.6%
P 20
27.8%
g 9
12.5%
l 6
 
8.3%
c 3
 
4.2%
X 3
 
4.2%
e 2
 
2.8%
t 1
 
1.4%
k 1
 
1.4%
h 1
 
1.4%
Other values (4) 4
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 738
65.5%
Hangul 388
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 244
33.1%
0 86
 
11.7%
3 79
 
10.7%
* 66
 
8.9%
2 51
 
6.9%
45
 
6.1%
5 36
 
4.9%
6 22
 
3.0%
m 22
 
3.0%
P 20
 
2.7%
Other values (19) 67
 
9.1%
Hangul
ValueCountFrequency (%)
개 189
48.7%
보 29
 
7.5%
존 29
 
7.5%
식 29
 
7.5%
램 11
 
2.8%
입 11
 
2.8%
그 11
 
2.8%
펫 10
 
2.6%
피 10
 
2.6%
리 8
 
2.1%
Other values (17) 51
 
13.1%

제조일자(일자)
Real number (ℝ)

MISSING  SKEWED 

Distinct522
Distinct (%)29.3%
Missing6702
Missing (%)79.0%
Infinite0
Infinite (%)0.0%
Mean20176009
Minimum20100208
Maximum29121211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:24.532582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100208
5-th percentile20130320
Q120140305
median20170101
Q320190827
95-th percentile20231228
Maximum29121211
Range9021003
Interquartile range (IQR)50522

Descriptive statistics

Standard deviation215623.88
Coefficient of variation (CV)0.010687142
Kurtosis1664.8931
Mean20176009
Median Absolute Deviation (MAD)29574
Skewness40.148897
Sum3.5973825 × 1010
Variance4.6493656 × 1010
MonotonicityNot monotonic
2024-05-11T15:44:24.747380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170101 145
 
1.7%
20190827 65
 
0.8%
20180426 51
 
0.6%
20190802 38
 
0.4%
20140122 38
 
0.4%
20131119 37
 
0.4%
20231229 30
 
0.4%
20181101 29
 
0.3%
20210331 27
 
0.3%
20131010 25
 
0.3%
Other values (512) 1298
 
15.3%
(Missing) 6702
79.0%
ValueCountFrequency (%)
20100208 1
 
< 0.1%
20110120 1
 
< 0.1%
20110828 1
 
< 0.1%
20111130 1
 
< 0.1%
20120103 1
 
< 0.1%
20120207 4
< 0.1%
20120217 1
 
< 0.1%
20120223 1
 
< 0.1%
20120228 3
< 0.1%
20120311 1
 
< 0.1%
ValueCountFrequency (%)
29121211 1
 
< 0.1%
21060415 1
 
< 0.1%
20240307 3
 
< 0.1%
20240220 1
 
< 0.1%
20240115 2
 
< 0.1%
20240102 1
 
< 0.1%
20240101 18
0.2%
20231231 13
0.2%
20231230 16
0.2%
20231229 30
0.4%

제조일자(롯트)
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
8396 
1
 
80
환경검체
 
2
0000
 
2
-
 
2
Other values (3)
 
3

Length

Max length4
Median length4
Mean length3.9706541
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8396
99.0%
1 80
 
0.9%
환경검체 2
 
< 0.1%
0000 2
 
< 0.1%
- 2
 
< 0.1%
1111 1
 
< 0.1%
111 1
 
< 0.1%
11 1
 
< 0.1%

Length

2024-05-11T15:44:24.944207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:25.126147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8396
99.0%
1 80
 
0.9%
환경검체 2
 
< 0.1%
0000 2
 
< 0.1%
2
 
< 0.1%
1111 1
 
< 0.1%
111 1
 
< 0.1%
11 1
 
< 0.1%

유통기한(일자)
Real number (ℝ)

MISSING 

Distinct319
Distinct (%)75.4%
Missing8062
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean20132743
Minimum20100915
Maximum20181101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:25.396140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100915
5-th percentile20111102
Q120130222
median20130828
Q320140528
95-th percentile20150927
Maximum20181101
Range80186
Interquartile range (IQR)10305.5

Descriptive statistics

Standard deviation12437.502
Coefficient of variation (CV)0.00061777482
Kurtosis0.89089554
Mean20132743
Median Absolute Deviation (MAD)9579
Skewness0.39158867
Sum8.5161504 × 109
Variance1.5469145 × 108
MonotonicityNot monotonic
2024-05-11T15:44:25.667382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111130 9
 
0.1%
20111105 7
 
0.1%
20130912 6
 
0.1%
20111102 5
 
0.1%
20111031 5
 
0.1%
20111030 4
 
< 0.1%
20130716 3
 
< 0.1%
20131225 3
 
< 0.1%
20130717 3
 
< 0.1%
20130423 3
 
< 0.1%
Other values (309) 375
 
4.4%
(Missing) 8062
95.0%
ValueCountFrequency (%)
20100915 1
 
< 0.1%
20111014 1
 
< 0.1%
20111017 1
 
< 0.1%
20111018 2
 
< 0.1%
20111020 1
 
< 0.1%
20111021 1
 
< 0.1%
20111029 1
 
< 0.1%
20111030 4
< 0.1%
20111031 5
0.1%
20111101 3
< 0.1%
ValueCountFrequency (%)
20181101 1
< 0.1%
20180127 1
< 0.1%
20170814 1
< 0.1%
20170329 2
< 0.1%
20161226 2
< 0.1%
20161026 1
< 0.1%
20160927 1
< 0.1%
20160826 1
< 0.1%
20160818 1
< 0.1%
20160717 1
< 0.1%

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)11.8%
Missing8349
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean1632239.6
Minimum1
Maximum20230712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:25.832505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile20180726
Maximum20230712
Range20230711
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5522433.6
Coefficient of variation (CV)3.3833474
Kurtosis7.7785502
Mean1632239.6
Median Absolute Deviation (MAD)0
Skewness3.1087529
Sum2.2198458 × 108
Variance3.0497273 × 1013
MonotonicityNot monotonic
2024-05-11T15:44:26.071484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 73
 
0.9%
6 23
 
0.3%
365 14
 
0.2%
3 7
 
0.1%
20180726 5
 
0.1%
20180829 3
 
< 0.1%
180 2
 
< 0.1%
30 1
 
< 0.1%
5 1
 
< 0.1%
12 1
 
< 0.1%
Other values (6) 6
 
0.1%
(Missing) 8349
98.4%
ValueCountFrequency (%)
1 73
0.9%
2 1
 
< 0.1%
3 7
 
0.1%
5 1
 
< 0.1%
6 23
 
0.3%
12 1
 
< 0.1%
30 1
 
< 0.1%
180 2
 
< 0.1%
365 14
 
0.2%
547 1
 
< 0.1%
ValueCountFrequency (%)
20230712 1
 
< 0.1%
20180829 3
 
< 0.1%
20180726 5
 
0.1%
20180612 1
 
< 0.1%
20120113 1
 
< 0.1%
730 1
 
< 0.1%
547 1
 
< 0.1%
365 14
0.2%
180 2
 
< 0.1%
30 1
 
< 0.1%

보관상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
실온
4747 
<NA>
2795 
냉장
607 
냉동
 
291
기타
 
45

Length

Max length4
Median length2
Mean length2.6588097
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 4747
55.9%
<NA> 2795
32.9%
냉장 607
 
7.2%
냉동 291
 
3.4%
기타 45
 
0.5%

Length

2024-05-11T15:44:26.234466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:26.367559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 4747
55.9%
na 2795
32.9%
냉장 607
 
7.2%
냉동 291
 
3.4%
기타 45
 
0.5%

바코드번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

어린이기호식품유형
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing8477
Missing (%)99.9%
Memory size66.4 KiB
2024-05-11T15:44:26.508589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length5.5
Min length3

Characters and Unicode

Total characters44
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)12.5%

Sample

1st row과자(한과류제외)
2nd row과자(한과류제외)
3rd row초콜릿류
4th row초콜릿류
5th row캔디류
ValueCountFrequency (%)
캔디류 3
37.5%
과자(한과류제외 2
25.0%
초콜릿류 2
25.0%
유탕면류(용기면 1
 
12.5%
2024-05-11T15:44:27.089711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 8
18.2%
과 4
 
9.1%
캔 3
 
6.8%
( 3
 
6.8%
디 3
 
6.8%
) 3
 
6.8%
한 2
 
4.5%
제 2
 
4.5%
외 2
 
4.5%
자 2
 
4.5%
Other values (8) 12
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38
86.4%
Open Punctuation 3
 
6.8%
Close Punctuation 3
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 8
21.1%
과 4
10.5%
캔 3
 
7.9%
디 3
 
7.9%
한 2
 
5.3%
제 2
 
5.3%
외 2
 
5.3%
자 2
 
5.3%
초 2
 
5.3%
콜 2
 
5.3%
Other values (6) 8
21.1%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38
86.4%
Common 6
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 8
21.1%
과 4
10.5%
캔 3
 
7.9%
디 3
 
7.9%
한 2
 
5.3%
제 2
 
5.3%
외 2
 
5.3%
자 2
 
5.3%
초 2
 
5.3%
콜 2
 
5.3%
Other values (6) 8
21.1%
Common
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38
86.4%
ASCII 6
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 8
21.1%
과 4
10.5%
캔 3
 
7.9%
디 3
 
7.9%
한 2
 
5.3%
제 2
 
5.3%
외 2
 
5.3%
자 2
 
5.3%
초 2
 
5.3%
콜 2
 
5.3%
Other values (6) 8
21.1%
ASCII
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

검사기관명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
5017 
001
3462 
000
 
5
서울시보건환경연구원
 
1

Length

Max length10
Median length4
Mean length3.5921037
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row001
3rd row001
4th row001
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5017
59.1%
001 3462
40.8%
000 5
 
0.1%
서울시보건환경연구원 1
 
< 0.1%

Length

2024-05-11T15:44:27.237181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:27.386757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5017
59.1%
001 3462
40.8%
000 5
 
0.1%
서울시보건환경연구원 1
 
< 0.1%

(구)제조사명
Text

MISSING 

Distinct430
Distinct (%)37.2%
Missing7328
Missing (%)86.4%
Memory size66.4 KiB
2024-05-11T15:44:27.738180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.1763181
Min length2

Characters and Unicode

Total characters8303
Distinct characters371
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

Unique263 ?
Unique (%)22.7%

Sample

1st row부산어묵
2nd row죽여주는 열꼬치
3rd row간집
4th row남평농협
5th row헐레벌떡
ValueCountFrequency (%)
씨제이제일제당(주 73
 
5.5%
주식회사 67
 
5.1%
대상(주 60
 
4.5%
오뚜기 28
 
2.1%
동서식품 27
 
2.0%
주식회사오뚜기 22
 
1.7%
씨제이제일제당 21
 
1.6%
주)동원f&amp;b 19
 
1.4%
주)오리온 17
 
1.3%
주)오뚜기 16
 
1.2%
Other values (479) 975
73.6%
2024-05-11T15:44:28.240486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 859
 
10.3%
( 710
 
8.6%
) 710
 
8.6%
식 368
 
4.4%
제 364
 
4.4%
품 241
 
2.9%
168
 
2.0%
사 162
 
2.0%
오 139
 
1.7%
회 137
 
1.7%
Other values (361) 4445
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6348
76.5%
Open Punctuation 710
 
8.6%
Close Punctuation 710
 
8.6%
Space Separator 168
 
2.0%
Uppercase Letter 156
 
1.9%
Lowercase Letter 101
 
1.2%
Other Punctuation 63
 
0.8%
Decimal Number 44
 
0.5%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 859
 
13.5%
식 368
 
5.8%
제 364
 
5.7%
품 241
 
3.8%
사 162
 
2.6%
오 139
 
2.2%
회 137
 
2.2%
이 135
 
2.1%
일 131
 
2.1%
당 112
 
1.8%
Other values (317) 3700
58.3%
Uppercase Letter
ValueCountFrequency (%)
F 62
39.7%
B 51
32.7%
N 9
 
5.8%
R 4
 
2.6%
D 4
 
2.6%
L 4
 
2.6%
S 3
 
1.9%
M 3
 
1.9%
T 3
 
1.9%
P 3
 
1.9%
Other values (5) 10
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 28
27.7%
p 28
27.7%
m 27
26.7%
s 4
 
4.0%
c 3
 
3.0%
e 2
 
2.0%
o 2
 
2.0%
l 2
 
2.0%
i 2
 
2.0%
u 1
 
1.0%
Other values (2) 2
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 12
27.3%
2 10
22.7%
5 7
15.9%
6 5
11.4%
0 4
 
9.1%
4 3
 
6.8%
7 1
 
2.3%
3 1
 
2.3%
9 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 26
41.3%
; 26
41.3%
/ 7
 
11.1%
. 4
 
6.3%
Open Punctuation
ValueCountFrequency (%)
( 710
100.0%
Close Punctuation
ValueCountFrequency (%)
) 710
100.0%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6348
76.5%
Common 1698
 
20.5%
Latin 257
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 859
 
13.5%
식 368
 
5.8%
제 364
 
5.7%
품 241
 
3.8%
사 162
 
2.6%
오 139
 
2.2%
회 137
 
2.2%
이 135
 
2.1%
일 131
 
2.1%
당 112
 
1.8%
Other values (317) 3700
58.3%
Latin
ValueCountFrequency (%)
F 62
24.1%
B 51
19.8%
a 28
10.9%
p 28
10.9%
m 27
10.5%
N 9
 
3.5%
R 4
 
1.6%
s 4
 
1.6%
D 4
 
1.6%
L 4
 
1.6%
Other values (17) 36
14.0%
Common
ValueCountFrequency (%)
( 710
41.8%
) 710
41.8%
168
 
9.9%
& 26
 
1.5%
; 26
 
1.5%
1 12
 
0.7%
2 10
 
0.6%
5 7
 
0.4%
/ 7
 
0.4%
6 5
 
0.3%
Other values (7) 17
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6348
76.5%
ASCII 1955
 
23.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 859
 
13.5%
식 368
 
5.8%
제 364
 
5.7%
품 241
 
3.8%
사 162
 
2.6%
오 139
 
2.2%
회 137
 
2.2%
이 135
 
2.1%
일 131
 
2.1%
당 112
 
1.8%
Other values (317) 3700
58.3%
ASCII
ValueCountFrequency (%)
( 710
36.3%
) 710
36.3%
168
 
8.6%
F 62
 
3.2%
B 51
 
2.6%
a 28
 
1.4%
p 28
 
1.4%
m 27
 
1.4%
& 26
 
1.3%
; 26
 
1.3%
Other values (34) 119
 
6.1%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
국내
6050 
국외
2435 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 6050
71.3%
국외 2435
28.7%

Length

2024-05-11T15:44:28.392693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:28.549730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 6050
71.3%
국외 2435
28.7%

국가명
Categorical

IMBALANCE 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
8139 
중국
 
58
이탈리아
 
49
미국
 
44
태국
 
24
Other values (30)
 
171

Length

Max length5
Median length4
Mean length3.9515616
Min length2

Unique

Unique8 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8139
95.9%
중국 58
 
0.7%
이탈리아 49
 
0.6%
미국 44
 
0.5%
태국 24
 
0.3%
일본 22
 
0.3%
독일 18
 
0.2%
말레이지아 17
 
0.2%
벨기에 16
 
0.2%
캐나다 16
 
0.2%
Other values (25) 82
 
1.0%

Length

2024-05-11T15:44:28.764758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8139
95.9%
중국 64
 
0.8%
이탈리아 49
 
0.6%
미국 44
 
0.5%
태국 24
 
0.3%
일본 22
 
0.3%
독일 18
 
0.2%
말레이지아 17
 
0.2%
벨기에 16
 
0.2%
캐나다 16
 
0.2%
Other values (24) 82
 
1.0%

검사구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
4883 
2
2037 
1
1565 

Length

Max length4
Median length4
Mean length2.7264585
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4883
57.5%
2 2037
24.0%
1 1565
 
18.4%

Length

2024-05-11T15:44:29.037311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:29.204673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4883
57.5%
2 2037
24.0%
1 1565
 
18.4%

검사의뢰일자
Real number (ℝ)

MISSING  SKEWED 

Distinct105
Distinct (%)7.6%
Missing7106
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean20182973
Minimum20010504
Maximum50110504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:29.379155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010504
5-th percentile20110411
Q120110705
median20120105
Q320211215
95-th percentile20240102
Maximum50110504
Range30100000
Interquartile range (IQR)100510

Descriptive statistics

Standard deviation808366.3
Coefficient of variation (CV)0.040051893
Kurtosis1366.2743
Mean20182973
Median Absolute Deviation (MAD)18899
Skewness36.877834
Sum2.783232 × 1010
Variance6.5345607 × 1011
MonotonicityNot monotonic
2024-05-11T15:44:29.557500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20240102 72
 
0.8%
20110504 70
 
0.8%
20110818 67
 
0.8%
20110411 65
 
0.8%
20111006 62
 
0.7%
20110705 61
 
0.7%
20210907 54
 
0.6%
20111026 50
 
0.6%
20110726 43
 
0.5%
20110503 42
 
0.5%
Other values (95) 793
 
9.3%
(Missing) 7106
83.7%
ValueCountFrequency (%)
20010504 1
 
< 0.1%
20101206 31
0.4%
20110114 24
 
0.3%
20110216 10
 
0.1%
20110219 1
 
< 0.1%
20110411 65
0.8%
20110503 42
0.5%
20110504 70
0.8%
20110509 31
0.4%
20110512 10
 
0.1%
ValueCountFrequency (%)
50110504 1
 
< 0.1%
20240312 8
 
0.1%
20240307 3
 
< 0.1%
20240221 1
 
< 0.1%
20240117 1
 
< 0.1%
20240115 2
 
< 0.1%
20240102 72
0.8%
20231229 39
0.5%
20231214 27
 
0.3%
20231201 22
 
0.3%

결과회보일자
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)7.8%
Missing7654
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean20141991
Minimum20110121
Maximum20220128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:29.734465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110121
5-th percentile20110426
Q120110523
median20110902
Q320210209
95-th percentile20211230
Maximum20220128
Range110007
Interquartile range (IQR)99686

Descriptive statistics

Standard deviation44178.132
Coefficient of variation (CV)0.0021933349
Kurtosis-1.220303
Mean20141991
Median Absolute Deviation (MAD)474
Skewness0.81587477
Sum1.6737994 × 1010
Variance1.9517073 × 109
MonotonicityNot monotonic
2024-05-11T15:44:29.941767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110523 91
 
1.1%
20110518 38
 
0.4%
20110520 37
 
0.4%
20161214 35
 
0.4%
20210915 34
 
0.4%
20110831 33
 
0.4%
20211101 30
 
0.4%
20110719 30
 
0.4%
20211230 30
 
0.4%
20211214 29
 
0.3%
Other values (55) 444
 
5.2%
(Missing) 7654
90.2%
ValueCountFrequency (%)
20110121 4
 
< 0.1%
20110126 2
 
< 0.1%
20110127 13
0.2%
20110128 5
 
0.1%
20110304 11
 
0.1%
20110421 2
 
< 0.1%
20110426 28
0.3%
20110427 17
0.2%
20110428 18
0.2%
20110511 2
 
< 0.1%
ValueCountFrequency (%)
20220128 14
0.2%
20211230 30
0.4%
20211214 29
0.3%
20211102 7
 
0.1%
20211101 30
0.4%
20211022 2
 
< 0.1%
20210924 5
 
0.1%
20210923 4
 
< 0.1%
20210915 34
0.4%
20210831 2
 
< 0.1%

판정구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
6129 
1
2344 
2
 
12

Length

Max length4
Median length4
Mean length3.1670006
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6129
72.2%
1 2344
 
27.6%
2 12
 
0.1%

Length

2024-05-11T15:44:30.117718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:30.259872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6129
72.2%
1 2344
 
27.6%
2 12
 
0.1%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

처리결과
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing8482
Missing (%)> 99.9%
Memory size66.4 KiB
2024-05-11T15:44:30.393631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length6
Min length4

Characters and Unicode

Total characters18
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row2011.05.31
2nd row행정처분
3rd row행정처분
ValueCountFrequency (%)
행정처분 2
66.7%
2011.05.31 1
33.3%
2024-05-11T15:44:30.797188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3
16.7%
행 2
11.1%
정 2
11.1%
처 2
11.1%
분 2
11.1%
0 2
11.1%
. 2
11.1%
2 1
 
5.6%
5 1
 
5.6%
3 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8
44.4%
Other Letter 8
44.4%
Other Punctuation 2
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3
37.5%
0 2
25.0%
2 1
 
12.5%
5 1
 
12.5%
3 1
 
12.5%
Other Letter
ValueCountFrequency (%)
행 2
25.0%
정 2
25.0%
처 2
25.0%
분 2
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10
55.6%
Hangul 8
44.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3
30.0%
0 2
20.0%
. 2
20.0%
2 1
 
10.0%
5 1
 
10.0%
3 1
 
10.0%
Hangul
ValueCountFrequency (%)
행 2
25.0%
정 2
25.0%
처 2
25.0%
분 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10
55.6%
Hangul 8
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3
30.0%
0 2
20.0%
. 2
20.0%
2 1
 
10.0%
5 1
 
10.0%
3 1
 
10.0%
Hangul
ValueCountFrequency (%)
행 2
25.0%
정 2
25.0%
처 2
25.0%
분 2
25.0%

수거품처리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

교부번호
Real number (ℝ)

Distinct436
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0058164 × 1010
Minimum1.9720094 × 1010
Maximum2.0230124 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:31.007987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9720094 × 1010
5-th percentile1.9980094 × 1010
Q12.0020094 × 1010
median2.0050095 × 1010
Q32.0100095 × 1010
95-th percentile2.0150094 × 1010
Maximum2.0230124 × 1010
Range5.1003024 × 108
Interquartile range (IQR)80000287

Descriptive statistics

Standard deviation60050870
Coefficient of variation (CV)0.0029938368
Kurtosis-0.43467322
Mean2.0058164 × 1010
Median Absolute Deviation (MAD)39999834
Skewness0.1299029
Sum1.7019352 × 1014
Variance3.606107 × 1015
MonotonicityNot monotonic
2024-05-11T15:44:31.263749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090094413 1376
16.2%
20020094325 1350
15.9%
20130094728 976
11.5%
20020094341 667
 
7.9%
20000094031 544
 
6.4%
19990094268 399
 
4.7%
20070094470 392
 
4.6%
19960094557 234
 
2.8%
19980094343 154
 
1.8%
20140094140 124
 
1.5%
Other values (426) 2269
26.7%
ValueCountFrequency (%)
19720094011 1
 
< 0.1%
19770094036 1
 
< 0.1%
19820094150 1
 
< 0.1%
19840094278 1
 
< 0.1%
19850094020 2
 
< 0.1%
19850094043 5
0.1%
19850094078 1
 
< 0.1%
19860094077 4
< 0.1%
19860094121 1
 
< 0.1%
19870094264 4
< 0.1%
ValueCountFrequency (%)
20230124254 2
< 0.1%
20220117338 1
 
< 0.1%
20220116985 2
< 0.1%
20220116814 1
 
< 0.1%
20220116813 1
 
< 0.1%
20220116586 1
 
< 0.1%
20220116326 3
< 0.1%
20220116030 1
 
< 0.1%
20220116004 1
 
< 0.1%
20210095545 1
 
< 0.1%

폐기일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)4.1%
Missing8338
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean20080949
Minimum20080807
Maximum20100830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:31.444752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080807
5-th percentile20080807
Q120080807
median20080812
Q320080819
95-th percentile20080819
Maximum20100830
Range20023
Interquartile range (IQR)12

Descriptive statistics

Standard deviation1650.9677
Coefficient of variation (CV)8.2215621 × 10-5
Kurtosis146.99706
Mean20080949
Median Absolute Deviation (MAD)5
Skewness12.124175
Sum2.9518996 × 109
Variance2725694.4
MonotonicityNot monotonic
2024-05-11T15:44:31.605015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20080819 60
 
0.7%
20080807 43
 
0.5%
20080812 22
 
0.3%
20080811 17
 
0.2%
20080808 4
 
< 0.1%
20100830 1
 
< 0.1%
(Missing) 8338
98.3%
ValueCountFrequency (%)
20080807 43
0.5%
20080808 4
 
< 0.1%
20080811 17
 
0.2%
20080812 22
 
0.3%
20080819 60
0.7%
20100830 1
 
< 0.1%
ValueCountFrequency (%)
20100830 1
 
< 0.1%
20080819 60
0.7%
20080812 22
 
0.3%
20080811 17
 
0.2%
20080808 4
 
< 0.1%
20080807 43
0.5%

폐기량(kg)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
8483 
20
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.9994107
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8483
> 99.9%
20 1
 
< 0.1%
0 1
 
< 0.1%

Length

2024-05-11T15:44:31.768545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:31.920971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8483
> 99.9%
20 1
 
< 0.1%
0 1
 
< 0.1%

폐기금액(원)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

폐기장소
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
8340 
서울시 보건환경연구원
 
127
서울시보건환경연구원
 
16
서울기 보건환경연구원
 
1
서울보건환경연구원
 
1

Length

Max length11
Median length4
Mean length4.1175015
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8340
98.3%
서울시 보건환경연구원 127
 
1.5%
서울시보건환경연구원 16
 
0.2%
서울기 보건환경연구원 1
 
< 0.1%
서울보건환경연구원 1
 
< 0.1%

Length

2024-05-11T15:44:32.124500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:32.355961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8340
96.8%
보건환경연구원 128
 
1.5%
서울시 127
 
1.5%
서울시보건환경연구원 16
 
0.2%
서울기 1
 
< 0.1%
서울보건환경연구원 1
 
< 0.1%

폐기방법
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing8484
Missing (%)> 99.9%
Memory size66.4 KiB
2024-05-11T15:44:32.550949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row음식물쓰레기 처리
ValueCountFrequency (%)
음식물쓰레기 1
50.0%
처리 1
50.0%
2024-05-11T15:44:32.930959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 1
11.1%
식 1
11.1%
물 1
11.1%
쓰 1
11.1%
레 1
11.1%
기 1
11.1%
1
11.1%
처 1
11.1%
리 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
88.9%
Space Separator 1
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 1
12.5%
식 1
12.5%
물 1
12.5%
쓰 1
12.5%
레 1
12.5%
기 1
12.5%
처 1
12.5%
리 1
12.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
88.9%
Common 1
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 1
12.5%
식 1
12.5%
물 1
12.5%
쓰 1
12.5%
레 1
12.5%
기 1
12.5%
처 1
12.5%
리 1
12.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
88.9%
ASCII 1
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 1
12.5%
식 1
12.5%
물 1
12.5%
쓰 1
12.5%
레 1
12.5%
기 1
12.5%
처 1
12.5%
리 1
12.5%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지(도로명)
Text

MISSING 

Distinct269
Distinct (%)5.5%
Missing3561
Missing (%)42.0%
Memory size66.4 KiB
2024-05-11T15:44:33.325361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length45
Mean length31.752234
Min length22

Characters and Unicode

Total characters156348
Distinct characters173
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

Unique93 ?
Unique (%)1.9%

Sample

1st row서울특별시 관악구 청룡길 9, 1층 (봉천동)
2nd row서울특별시 관악구 청룡1길 19, 1층 (봉천동)
3rd row서울특별시 관악구 봉천로 248, 1층 (신림동)
4th row서울특별시 관악구 봉천로 248, 1층 (신림동)
5th row서울특별시 관악구 봉천로 248, 1층 (신림동)
ValueCountFrequency (%)
서울특별시 4924
17.0%
관악구 4924
17.0%
신림동 1313
 
4.5%
봉천동 1155
 
4.0%
남현동 1071
 
3.7%
과천대로 1050
 
3.6%
홈플러스 940
 
3.2%
남현점 940
 
3.2%
909 693
 
2.4%
쑥고개로 556
 
1.9%
Other values (401) 11377
39.3%
2024-05-11T15:44:33.897282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24024
 
15.4%
, 8703
 
5.6%
1 6629
 
4.2%
관 6044
 
3.9%
악 6028
 
3.9%
동 5096
 
3.3%
울 5003
 
3.2%
) 4954
 
3.2%
( 4954
 
3.2%
구 4939
 
3.2%
Other values (163) 79974
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93116
59.6%
Space Separator 24024
 
15.4%
Decimal Number 20126
 
12.9%
Other Punctuation 8703
 
5.6%
Close Punctuation 4954
 
3.2%
Open Punctuation 4954
 
3.2%
Dash Punctuation 211
 
0.1%
Math Symbol 186
 
0.1%
Uppercase Letter 46
 
< 0.1%
Lowercase Letter 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 6044
 
6.5%
악 6028
 
6.5%
동 5096
 
5.5%
울 5003
 
5.4%
구 4939
 
5.3%
서 4931
 
5.3%
시 4927
 
5.3%
특 4926
 
5.3%
별 4924
 
5.3%
로 4680
 
5.0%
Other values (141) 41618
44.7%
Decimal Number
ValueCountFrequency (%)
1 6629
32.9%
9 2786
13.8%
0 2606
 
12.9%
2 1969
 
9.8%
3 1931
 
9.6%
6 1498
 
7.4%
5 963
 
4.8%
4 899
 
4.5%
7 484
 
2.4%
8 361
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
f 7
25.0%
i 7
25.0%
l 7
25.0%
e 7
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 45
97.8%
M 1
 
2.2%
Space Separator
ValueCountFrequency (%)
24024
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8703
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4954
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4954
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Math Symbol
ValueCountFrequency (%)
~ 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93116
59.6%
Common 63158
40.4%
Latin 74
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 6044
 
6.5%
악 6028
 
6.5%
동 5096
 
5.5%
울 5003
 
5.4%
구 4939
 
5.3%
서 4931
 
5.3%
시 4927
 
5.3%
특 4926
 
5.3%
별 4924
 
5.3%
로 4680
 
5.0%
Other values (141) 41618
44.7%
Common
ValueCountFrequency (%)
24024
38.0%
, 8703
 
13.8%
1 6629
 
10.5%
) 4954
 
7.8%
( 4954
 
7.8%
9 2786
 
4.4%
0 2606
 
4.1%
2 1969
 
3.1%
3 1931
 
3.1%
6 1498
 
2.4%
Other values (6) 3104
 
4.9%
Latin
ValueCountFrequency (%)
B 45
60.8%
f 7
 
9.5%
i 7
 
9.5%
l 7
 
9.5%
e 7
 
9.5%
M 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93116
59.6%
ASCII 63232
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24024
38.0%
, 8703
 
13.8%
1 6629
 
10.5%
) 4954
 
7.8%
( 4954
 
7.8%
9 2786
 
4.4%
0 2606
 
4.1%
2 1969
 
3.1%
3 1931
 
3.1%
6 1498
 
2.4%
Other values (12) 3178
 
5.0%
Hangul
ValueCountFrequency (%)
관 6044
 
6.5%
악 6028
 
6.5%
동 5096
 
5.5%
울 5003
 
5.4%
구 4939
 
5.3%
서 4931
 
5.3%
시 4927
 
5.3%
특 4926
 
5.3%
별 4924
 
5.3%
로 4680
 
5.0%
Other values (141) 41618
44.7%

소재지(지번)
Text

MISSING 

Distinct397
Distinct (%)4.7%
Missing101
Missing (%)1.2%
Memory size66.4 KiB
2024-05-11T15:44:34.259588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length29.177481
Min length22

Characters and Unicode

Total characters244624
Distinct characters150
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

Unique199 ?
Unique (%)2.4%

Sample

1st row서울특별시 관악구 봉천동 894번지 16호 1층
2nd row서울특별시 관악구 봉천동 894번지 2호
3rd row서울특별시 관악구 봉천동 863번지 13호
4th row서울특별시 관악구 봉천동 1627번지 1호
5th row서울특별시 관악구 신림동 1428번지 5호 지상1층
ValueCountFrequency (%)
서울특별시 8384
17.6%
관악구 8384
17.6%
봉천동 3645
 
7.7%
신림동 3616
 
7.6%
1호 2937
 
6.2%
지상1층 1433
 
3.0%
1668번지 1395
 
2.9%
1567번지 1351
 
2.8%
남현동 1123
 
2.4%
6호 1105
 
2.3%
Other values (431) 14182
29.8%
2024-05-11T15:44:34.900782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59258
24.2%
1 14451
 
5.9%
지 11032
 
4.5%
관 8874
 
3.6%
악 8868
 
3.6%
6 8754
 
3.6%
동 8472
 
3.5%
특 8386
 
3.4%
구 8386
 
3.4%
서 8385
 
3.4%
Other values (140) 99758
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139110
56.9%
Space Separator 59258
24.2%
Decimal Number 45175
 
18.5%
Dash Punctuation 511
 
0.2%
Other Punctuation 273
 
0.1%
Math Symbol 170
 
0.1%
Uppercase Letter 41
 
< 0.1%
Open Punctuation 29
 
< 0.1%
Close Punctuation 29
 
< 0.1%
Lowercase Letter 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 11032
 
7.9%
관 8874
 
6.4%
악 8868
 
6.4%
동 8472
 
6.1%
특 8386
 
6.0%
구 8386
 
6.0%
서 8385
 
6.0%
울 8385
 
6.0%
시 8384
 
6.0%
번 8384
 
6.0%
Other values (116) 51554
37.1%
Decimal Number
ValueCountFrequency (%)
1 14451
32.0%
6 8754
19.4%
7 4309
 
9.5%
0 3834
 
8.5%
2 3583
 
7.9%
5 3301
 
7.3%
3 2103
 
4.7%
8 2054
 
4.5%
9 1977
 
4.4%
4 809
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
f 7
25.0%
l 7
25.0%
e 7
25.0%
i 7
25.0%
Other Punctuation
ValueCountFrequency (%)
, 260
95.2%
? 11
 
4.0%
. 2
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 40
97.6%
M 1
 
2.4%
Space Separator
ValueCountFrequency (%)
59258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 511
100.0%
Math Symbol
ValueCountFrequency (%)
~ 170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139110
56.9%
Common 105445
43.1%
Latin 69
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 11032
 
7.9%
관 8874
 
6.4%
악 8868
 
6.4%
동 8472
 
6.1%
특 8386
 
6.0%
구 8386
 
6.0%
서 8385
 
6.0%
울 8385
 
6.0%
시 8384
 
6.0%
번 8384
 
6.0%
Other values (116) 51554
37.1%
Common
ValueCountFrequency (%)
59258
56.2%
1 14451
 
13.7%
6 8754
 
8.3%
7 4309
 
4.1%
0 3834
 
3.6%
2 3583
 
3.4%
5 3301
 
3.1%
3 2103
 
2.0%
8 2054
 
1.9%
9 1977
 
1.9%
Other values (8) 1821
 
1.7%
Latin
ValueCountFrequency (%)
B 40
58.0%
f 7
 
10.1%
l 7
 
10.1%
e 7
 
10.1%
i 7
 
10.1%
M 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139110
56.9%
ASCII 105514
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59258
56.2%
1 14451
 
13.7%
6 8754
 
8.3%
7 4309
 
4.1%
0 3834
 
3.6%
2 3583
 
3.4%
5 3301
 
3.1%
3 2103
 
2.0%
8 2054
 
1.9%
9 1977
 
1.9%
Other values (14) 1890
 
1.8%
Hangul
ValueCountFrequency (%)
지 11032
 
7.9%
관 8874
 
6.4%
악 8868
 
6.4%
동 8472
 
6.1%
특 8386
 
6.0%
구 8386
 
6.0%
서 8385
 
6.0%
울 8385
 
6.0%
시 8384
 
6.0%
번 8384
 
6.0%
Other values (116) 51554
37.1%

업소전화번호
Text

MISSING 

Distinct319
Distinct (%)4.0%
Missing463
Missing (%)5.5%
Memory size66.4 KiB
2024-05-11T15:44:35.291605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.809399
Min length2

Characters and Unicode

Total characters86713
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

Unique145 ?
Unique (%)1.8%

Sample

1st row02 8891029
2nd row02 877 3322
3rd row02
4th row02 8931819
5th row02 8891220
ValueCountFrequency (%)
02 7374
45.7%
8730637 1351
 
8.4%
20269345 1077
 
6.7%
69488000 1001
 
6.2%
8773266 667
 
4.1%
8566022 444
 
2.7%
8860400 399
 
2.5%
862 350
 
2.2%
000232898041 343
 
2.1%
5885 304
 
1.9%
Other values (341) 2836
 
17.6%
2024-05-11T15:44:35.867982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18003
20.8%
2 14356
16.6%
11037
12.7%
8 10576
12.2%
6 7930
9.1%
3 6318
 
7.3%
7 5215
 
6.0%
4 4350
 
5.0%
5 3620
 
4.2%
9 3367
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75676
87.3%
Space Separator 11037
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18003
23.8%
2 14356
19.0%
8 10576
14.0%
6 7930
10.5%
3 6318
 
8.3%
7 5215
 
6.9%
4 4350
 
5.7%
5 3620
 
4.8%
9 3367
 
4.4%
1 1941
 
2.6%
Space Separator
ValueCountFrequency (%)
11037
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86713
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18003
20.8%
2 14356
16.6%
11037
12.7%
8 10576
12.2%
6 7930
9.1%
3 6318
 
7.3%
7 5215
 
6.0%
4 4350
 
5.0%
5 3620
 
4.2%
9 3367
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86713
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18003
20.8%
2 14356
16.6%
11037
12.7%
8 10576
12.2%
6 7930
9.1%
3 6318
 
7.3%
7 5215
 
6.0%
4 4350
 
5.0%
5 3620
 
4.2%
9 3367
 
3.9%

점검목적
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
수거
4106 
위생점검(전체)
2302 
<NA>
1946 
위생점검(부분)
 
131

Length

Max length8
Median length4
Mean length4.1791397
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수거 4106
48.4%
위생점검(전체) 2302
27.1%
<NA> 1946
22.9%
위생점검(부분) 131
 
1.5%

Length

2024-05-11T15:44:36.083338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:36.268944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수거 4106
48.4%
위생점검(전체 2302
27.1%
na 1946
22.9%
위생점검(부분 131
 
1.5%

점검일자
Real number (ℝ)

Distinct343
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20138113
Minimum20040910
Maximum20240312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:36.509679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040910
5-th percentile20080728
Q120110114
median20131119
Q320161110
95-th percentile20211099
Maximum20240312
Range199402
Interquartile range (IQR)50996

Descriptive statistics

Standard deviation39641.024
Coefficient of variation (CV)0.0019684577
Kurtosis-0.19315372
Mean20138113
Median Absolute Deviation (MAD)29913
Skewness0.5180724
Sum1.7087189 × 1011
Variance1.5714108 × 109
MonotonicityNot monotonic
2024-05-11T15:44:36.786588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131001 183
 
2.2%
20141203 167
 
2.0%
20131023 156
 
1.8%
20121207 131
 
1.5%
20140716 126
 
1.5%
20140618 124
 
1.5%
20190620 121
 
1.4%
20090707 108
 
1.3%
20091103 104
 
1.2%
20140122 102
 
1.2%
Other values (333) 7163
84.4%
ValueCountFrequency (%)
20040910 1
 
< 0.1%
20070206 6
 
0.1%
20070913 57
0.7%
20071024 72
0.8%
20080108 2
 
< 0.1%
20080131 57
0.7%
20080215 7
 
0.1%
20080429 75
0.9%
20080724 50
0.6%
20080728 99
1.2%
ValueCountFrequency (%)
20240312 8
 
0.1%
20240308 3
 
< 0.1%
20240220 1
 
< 0.1%
20240118 51
0.6%
20240117 1
 
< 0.1%
20240115 2
 
< 0.1%
20240102 72
0.8%
20231229 39
0.5%
20231214 27
 
0.3%
20231201 22
 
0.3%

점검구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
수시
4299 
<NA>
1932 
기타
1727 
합동
 
311
일제
 
216

Length

Max length4
Median length2
Mean length2.4553919
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수시 4299
50.7%
<NA> 1932
22.8%
기타 1727
20.4%
합동 311
 
3.7%
일제 216
 
2.5%

Length

2024-05-11T15:44:37.021239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:37.189233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 4299
50.7%
na 1932
22.8%
기타 1727
20.4%
합동 311
 
3.7%
일제 216
 
2.5%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8485
Missing (%)100.0%
Memory size74.7 KiB

점검결과코드
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
1
6423 
<NA>
1932 
2
 
130

Length

Max length4
Median length1
Mean length1.6830878
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 6423
75.7%
<NA> 1932
 
22.8%
2 130
 
1.5%

Length

2024-05-11T15:44:37.362251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:37.527195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6423
75.7%
na 1932
 
22.8%
2 130
 
1.5%

(구)제조유통기한
Real number (ℝ)

MISSING 

Distinct319
Distinct (%)75.4%
Missing8062
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean20132743
Minimum20100915
Maximum20181101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-11T15:44:37.707962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100915
5-th percentile20111102
Q120130222
median20130828
Q320140528
95-th percentile20150927
Maximum20181101
Range80186
Interquartile range (IQR)10305.5

Descriptive statistics

Standard deviation12437.502
Coefficient of variation (CV)0.00061777482
Kurtosis0.89089554
Mean20132743
Median Absolute Deviation (MAD)9579
Skewness0.39158867
Sum8.5161504 × 109
Variance1.5469145 × 108
MonotonicityNot monotonic
2024-05-11T15:44:38.263375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111130 9
 
0.1%
20111105 7
 
0.1%
20130912 6
 
0.1%
20111102 5
 
0.1%
20111031 5
 
0.1%
20111030 4
 
< 0.1%
20130716 3
 
< 0.1%
20131225 3
 
< 0.1%
20130717 3
 
< 0.1%
20130423 3
 
< 0.1%
Other values (309) 375
 
4.4%
(Missing) 8062
95.0%
ValueCountFrequency (%)
20100915 1
 
< 0.1%
20111014 1
 
< 0.1%
20111017 1
 
< 0.1%
20111018 2
 
< 0.1%
20111020 1
 
< 0.1%
20111021 1
 
< 0.1%
20111029 1
 
< 0.1%
20111030 4
< 0.1%
20111031 5
0.1%
20111101 3
< 0.1%
ValueCountFrequency (%)
20181101 1
< 0.1%
20180127 1
< 0.1%
20170814 1
< 0.1%
20170329 2
< 0.1%
20161226 2
< 0.1%
20161026 1
< 0.1%
20160927 1
< 0.1%
20160826 1
< 0.1%
20160818 1
< 0.1%
20160717 1
< 0.1%

(구)제조회사주소
Text

MISSING 

Distinct296
Distinct (%)53.3%
Missing7930
Missing (%)93.5%
Memory size66.4 KiB
2024-05-11T15:44:38.740696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length19.041441
Min length5

Characters and Unicode

Total characters10568
Distinct characters238
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

Unique194 ?
Unique (%)35.0%

Sample

1st row전남 나주시 남평읍 오계리
2nd row서울 관악구 신림동 1427-3
3rd row서울시 관악구 신림동 541
4th row서울시 관악구 신림동 541
5th row서울시 관악구 신림동 541
ValueCountFrequency (%)
경기도 120
 
4.6%
충남 83
 
3.2%
충북 70
 
2.7%
서울시 61
 
2.3%
경남 40
 
1.5%
음성군 30
 
1.2%
중구 28
 
1.1%
대소면 26
 
1.0%
창원시 26
 
1.0%
공주시 25
 
1.0%
Other values (684) 2093
80.4%
2024-05-11T15:44:39.462030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2050
 
19.4%
1 420
 
4.0%
시 410
 
3.9%
2 320
 
3.0%
- 286
 
2.7%
동 248
 
2.3%
구 245
 
2.3%
면 211
 
2.0%
리 204
 
1.9%
4 195
 
1.8%
Other values (228) 5979
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6169
58.4%
Space Separator 2050
 
19.4%
Decimal Number 1981
 
18.7%
Dash Punctuation 286
 
2.7%
Other Punctuation 28
 
0.3%
Close Punctuation 16
 
0.2%
Open Punctuation 16
 
0.2%
Uppercase Letter 15
 
0.1%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 410
 
6.6%
동 248
 
4.0%
구 245
 
4.0%
면 211
 
3.4%
리 204
 
3.3%
남 195
 
3.2%
경 194
 
3.1%
대 179
 
2.9%
도 173
 
2.8%
충 168
 
2.7%
Other values (200) 3942
63.9%
Decimal Number
ValueCountFrequency (%)
1 420
21.2%
2 320
16.2%
4 195
9.8%
3 195
9.8%
6 193
9.7%
5 171
8.6%
7 157
 
7.9%
0 148
 
7.5%
9 107
 
5.4%
8 75
 
3.8%
Other Punctuation
ValueCountFrequency (%)
: 14
50.0%
？ 5
 
17.9%
. 5
 
17.9%
, 2
 
7.1%
; 1
 
3.6%
& 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
k 2
28.6%
p 1
14.3%
m 1
14.3%
a 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
F 12
80.0%
P 2
 
13.3%
B 1
 
6.7%
Space Separator
ValueCountFrequency (%)
2050
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6169
58.4%
Common 4377
41.4%
Latin 22
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 410
 
6.6%
동 248
 
4.0%
구 245
 
4.0%
면 211
 
3.4%
리 204
 
3.3%
남 195
 
3.2%
경 194
 
3.1%
대 179
 
2.9%
도 173
 
2.8%
충 168
 
2.7%
Other values (200) 3942
63.9%
Common
ValueCountFrequency (%)
2050
46.8%
1 420
 
9.6%
2 320
 
7.3%
- 286
 
6.5%
4 195
 
4.5%
3 195
 
4.5%
6 193
 
4.4%
5 171
 
3.9%
7 157
 
3.6%
0 148
 
3.4%
Other values (10) 242
 
5.5%
Latin
ValueCountFrequency (%)
F 12
54.5%
s 2
 
9.1%
k 2
 
9.1%
P 2
 
9.1%
p 1
 
4.5%
m 1
 
4.5%
a 1
 
4.5%
B 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6169
58.4%
ASCII 4394
41.6%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2050
46.7%
1 420
 
9.6%
2 320
 
7.3%
- 286
 
6.5%
4 195
 
4.4%
3 195
 
4.4%
6 193
 
4.4%
5 171
 
3.9%
7 157
 
3.6%
0 148
 
3.4%
Other values (17) 259
 
5.9%
Hangul
ValueCountFrequency (%)
시 410
 
6.6%
동 248
 
4.0%
구 245
 
4.0%
면 211
 
3.4%
리 204
 
3.3%
남 195
 
3.2%
경 194
 
3.1%
대 179
 
2.9%
도 173
 
2.8%
충 168
 
2.7%
Other values (200) 3942
63.9%
None
ValueCountFrequency (%)
？ 5
100.0%

부적합항목
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
<NA>
8479 
세균수
 
6

Length

Max length4
Median length4
Mean length3.9992929
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8479
99.9%
세균수 6
 
0.1%

Length

2024-05-11T15:44:39.651372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:44:39.791942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8479
99.9%
세균수 6
 
0.1%

기준치부적합내용
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing8482
Missing (%)> 99.9%
Memory size66.4 KiB
2024-05-11T15:44:39.978828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters51
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row5000검출(정상:3000이하)
2nd row8000검출(정상:3000이하)
3rd row9600검출(정상:3000이하)
ValueCountFrequency (%)
5000검출(정상:3000이하 1
33.3%
8000검출(정상:3000이하 1
33.3%
9600검출(정상:3000이하 1
33.3%
2024-05-11T15:44:40.398825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
33.3%
검 3
 
5.9%
출 3
 
5.9%
( 3
 
5.9%
정 3
 
5.9%
상 3
 
5.9%
: 3
 
5.9%
3 3
 
5.9%
이 3
 
5.9%
하 3
 
5.9%
Other values (5) 7
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
47.1%
Other Letter 18
35.3%
Open Punctuation 3
 
5.9%
Other Punctuation 3
 
5.9%
Close Punctuation 3
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
70.8%
3 3
 
12.5%
5 1
 
4.2%
8 1
 
4.2%
9 1
 
4.2%
6 1
 
4.2%
Other Letter
ValueCountFrequency (%)
검 3
16.7%
출 3
16.7%
정 3
16.7%
상 3
16.7%
이 3
16.7%
하 3
16.7%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
: 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
64.7%
Hangul 18
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
51.5%
( 3
 
9.1%
: 3
 
9.1%
3 3
 
9.1%
) 3
 
9.1%
5 1
 
3.0%
8 1
 
3.0%
9 1
 
3.0%
6 1
 
3.0%
Hangul
ValueCountFrequency (%)
검 3
16.7%
출 3
16.7%
정 3
16.7%
상 3
16.7%
이 3
16.7%
하 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
64.7%
Hangul 18
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
51.5%
( 3
 
9.1%
: 3
 
9.1%
3 3
 
9.1%
) 3
 
9.1%
5 1
 
3.0%
8 1
 
3.0%
9 1
 
3.0%
6 1
 
3.0%
Hangul
ValueCountFrequency (%)
검 3
16.7%
출 3
16.7%
정 3
16.7%
상 3
16.7%
이 3
16.7%
하 3
16.7%

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
03200000101일반음식점999<NA>2015년 시군구 지도점검<NA>121-7-5-1검사용한성가든G01000000<NA>조리식품 등냉면육수<NA><NA><NA>20150727<NA><NA><NA>600g20150727<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19770094036<NA><NA><NA><NA><NA>서울특별시 관악구 청룡길 9, 1층 (봉천동)서울특별시 관악구 봉천동 894번지 16호 1층02 8891029위생점검(전체)20150727수시<NA>2<NA><NA><NA><NA>
13200000101일반음식점<NA><NA><NA><NA>121-109검사용봉천동진순자김밥G0100000100000조리식품 등조리식품 등김밥김밥<NA><NA>202108181.0600g<NA>20210818<NA><NA><NA>냉장<NA><NA>001<NA>국내<NA>120210818202108311<NA><NA><NA><NA><NA><NA>19820094150<NA><NA><NA><NA><NA>서울특별시 관악구 청룡1길 19, 1층 (봉천동)서울특별시 관악구 봉천동 894번지 2호02 877 3322위생점검(전체)20210818수시<NA>1<NA><NA><NA><NA>
23200000101일반음식점<NA><NA><NA><NA><NA><NA>서유기<NA><NA>생맥주<NA><NA><NA>201007201000.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>19840094278<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 863번지 13호02위생점검(부분)20100720기타<NA>1<NA><NA><NA><NA>
33200000101일반음식점<NA><NA><NA><NA><NA><NA>낙성식당<NA><NA>개고기(식육)<NA><NA><NA>20100609600.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>19850094078<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1627번지 1호02 8931819위생점검(부분)20100609기타<NA>1<NA><NA><NA><NA>
43200000101일반음식점999<NA>시군구지도점검<NA>2013-음식-25검사용신림정121000000식육류중육류소고기등심<NA><NA><NA>201307241.0100g<NA>20130724<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19850094043<NA><NA><NA><NA><NA>서울특별시 관악구 봉천로 248, 1층 (신림동)서울특별시 관악구 신림동 1428번지 5호 지상1층02 8891220수거20130724기타<NA>1<NA><NA><NA><NA>
53200000101일반음식점999<NA>시군구지도점검<NA>2013-음식-26검사용신림정121000000식육류중육류소고기우둔<NA><NA><NA>201307241.0100g<NA>20130724<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19850094043<NA><NA><NA><NA><NA>서울특별시 관악구 봉천로 248, 1층 (신림동)서울특별시 관악구 신림동 1428번지 5호 지상1층02 8891220수거20130724기타<NA>1<NA><NA><NA><NA>
63200000101일반음식점999<NA>2014년 시군구 지도점검<NA>관악(음식점)1검사용신림정121000000식육류중육류소고기꽃등심<NA><NA><NA>201404241.0140g<NA><NA><NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19850094043<NA><NA><NA><NA><NA>서울특별시 관악구 봉천로 248, 1층 (신림동)서울특별시 관악구 신림동 1428번지 5호 지상1층02 8891220수거20140424기타<NA>1<NA><NA><NA><NA>
73200000101일반음식점999<NA>2014년 시군구 지도점검<NA>관악(음식점)2검사용신림정121000000식육류중육류소고기생등심<NA><NA><NA>201404241.0140g<NA><NA><NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19850094043<NA><NA><NA><NA><NA>서울특별시 관악구 봉천로 248, 1층 (신림동)서울특별시 관악구 신림동 1428번지 5호 지상1층02 8891220수거20140424기타<NA>1<NA><NA><NA><NA>
83200000101일반음식점999<NA>2014년 시군구 지도점검<NA>관악(음식점)3검사용신림정121000000식육류중육류소고기갈비살<NA><NA><NA>201404241.0140g<NA><NA><NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19850094043<NA><NA><NA><NA><NA>서울특별시 관악구 봉천로 248, 1층 (신림동)서울특별시 관악구 신림동 1428번지 5호 지상1층02 8891220수거20140424기타<NA>1<NA><NA><NA><NA>
93200000101일반음식점<NA><NA><NA><NA>121-1-지1검사용하우림G0100000100000조리식품 등조리식품 등모듬전<NA><NA><NA>202401151.0600g<NA>20240115<NA><NA><NA>냉장<NA><NA>001<NA>국내<NA>120240115<NA><NA><NA><NA><NA><NA><NA><NA>19850094020<NA><NA><NA><NA><NA>서울특별시 관악구 관악로15길 23, 1층 (봉천동)서울특별시 관악구 봉천동 866번지 19호02 8846530위생점검(전체)20240115합동<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
84753200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건9검사용씨제이올리브영(주) 올리브영 관악 타운E0358000000000보스웰리아추출물등 복합물(Flexir)(제2021-9호)보스웰리아추출물등 복합물(Flexir)(제2021-9호)보스웰리아 패스트액팅<NA><NA><NA>202309063.081g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84763200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건8검사용씨제이올리브영(주) 올리브영 관악 타운E0206900000000NAG(엔에이지, N-아세틸글루코사민, N-Acetylglucosamine)NAG(엔에이지, N-아세틸글루코사민, N-Acetylglucosamine)액티브관절<NA><NA><NA>202309063.090g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84773200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건12검사용씨제이올리브영(주) 올리브영 관악 타운E0200000000000기능성 원료글루코사민GLUCOSAMINE GREEN PLUS<NA><NA><NA>202309062.0198g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국외캐나다120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84783200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건6검사용씨제이올리브영(주) 올리브영 관악 타운E0100000000000영양성분마그네슘WOMEN'S MULTI<NA><NA><NA>202309053.095.4g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국외호주120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84793200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건5검사용씨제이올리브영(주) 올리브영 관악 타운E0100000000000영양성분마그네슘MEN'S MULTI<NA><NA><NA>202309053.094.2g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국외호주120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84803200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건4검사용씨제이올리브영(주) 올리브영 관악 타운E0100000000000영양성분마그네슘TRIPLUS MEN<NA><NA><NA>202309052.0130g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국외호주120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84813200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건10검사용씨제이올리브영(주) 올리브영 관악 타운E0102200000000망간망간관절튼튼 메가보스웰리아<NA><NA><NA>202309068.027g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84823200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건11검사용씨제이올리브영(주) 올리브영 관악 타운E0203100000000N-아세틸글루코사민N-아세틸글루코사민N 아세틸글루코사민<NA><NA><NA>202309054.054g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84833200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건13검사용씨제이올리브영(주) 올리브영 관악 타운E0100300000000비타민 D비타민 D관절엔 글루코사민 맥스<NA><NA><NA>202309082.0108g<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>
84843200000134건강기능식품일반판매업<NA><NA><NA><NA>121-9-건7검사용씨제이올리브영(주) 올리브영 관악 타운E0101600000000마그네슘마그네슘포 스트레스<NA><NA><NA>202309053.0250ML<NA><NA><NA><NA><NA>실온<NA><NA>001<NA>국내<NA>120230908<NA><NA><NA><NA><NA><NA><NA><NA>20180094661<NA><NA><NA><NA><NA>서울특별시 관악구 관악로 171, 1,2,3층 (봉천동)서울특별시 관악구 봉천동 862번지 5호<NA><NA>20230905<NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드업종코드업종명계획구분코드지도점검계획수거계획수거증번호수거사유코드업소명식품군코드식품군품목명제품명음식물명원료명생산업소수거일자수거량(정량)제품규격(정량)단위(정량)수거량(자유)제조일자(일자)제조일자(롯트)유통기한(일자)유통기한(제조일기준)보관상태코드어린이기호식품유형검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과교부번호폐기일자폐기량(kg)폐기장소폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용# duplicates
03200000107즉석판매제조가공업<NA><NA><NA><NA><NA>맑은산미담채826000000조림식품수산물조림진미채<NA><NA><NA>20091103600.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA>20090094446<NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1668번지 6호02 26951516위생점검(전체)20091103기타1<NA><NA><NA><NA>2
13200000114기타식품판매업<NA><NA><NA><NA><NA>(주)GS리테일 관악점209000000면류유탕면류짜짜로니<NA><NA><NA>20080429140.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20020094325<NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1567번지 1호 지상1층02 8730637위생점검(전체)20080429수시1<NA><NA><NA><NA>2
23200000114기타식품판매업<NA><NA><NA><NA><NA>(주)GS리테일 관악점250000000식품별기준및규격외의일반가공식품곡류가공품들깨가루<NA><NA><NA>200710243.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA>20020094325<NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1567번지 1호 지상1층02 8730637<NA>20071024<NA><NA><NA><NA><NA><NA>2
33200000114기타식품판매업<NA><NA><NA><NA><NA>(주)GS리테일 관악점250000000식품별기준및규격외의일반가공식품곡류가공품오뚜기핫케이크가루<NA><NA><NA>200710243.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA>20020094325<NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1567번지 1호 지상1층02 8730637<NA>20071024<NA><NA><NA><NA><NA><NA>2
43200000114기타식품판매업<NA><NA><NA><NA><NA>(주)GS리테일 관악점813000000두부류또는묵류두부부드러운 찌개두부<NA><NA><NA>20101103630.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20020094325<NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1567번지 1호 지상1층02 8730637수거20101103수시1<NA><NA><NA><NA>2
53200000114기타식품판매업<NA><NA><NA><NA><NA>(주)천성세이브마트201000000과자류비스킷류프리미엄가나파이<NA><NA><NA>20081021408.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20000094031<NA><NA><NA><NA><NA>서울특별시 관악구 신림동 607번지 73호02 8566022위생점검(전체)20081021수시1<NA><NA><NA><NA>2
63200000114기타식품판매업<NA><NA><NA><NA><NA>(주)천성세이브마트211000000음료류과실음료유기농사과농축과즙<NA><NA><NA>200909231200.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20000094031<NA><NA><NA><NA><NA>서울특별시 관악구 신림동 607번지 73호02 8566022수거20090923수시1<NA><NA><NA><NA>2
73200000114기타식품판매업<NA><NA><NA><NA><NA>관악농협농특산물백화점214000000조미식품카레분백세카레약간매운맛<NA><NA><NA>20100407600.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20090094413<NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1668번지 6호02 862 5885수거20100407합동1<NA><NA><NA><NA>2
83200000114기타식품판매업<NA><NA><NA><NA><NA>관악농협농특산물백화점214000000조미식품카레분오뚜기카레약간매운맛<NA><NA><NA>20100407600.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20090094413<NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1668번지 6호02 862 5885수거20100407합동1<NA><NA><NA><NA>2
93200000114기타식품판매업<NA><NA><NA><NA><NA>관악농협농특산물백화점818000000음료류인삼.홍삼음료홍삼골드<NA><NA><NA>20100624600.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA>1<NA>20090094413<NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1668번지 6호02 20269345수거20100624기타1<NA><NA><NA><NA>2