Overview

Dataset statistics

Number of variables61
Number of observations6090
Missing cells161853
Missing cells (%)43.6%
Duplicate rows10
Duplicate rows (%)0.2%
Total size in memory3.0 MiB
Average record size in memory515.0 B

Variable types

Categorical19
Numeric11
Unsupported9
Text22

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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-10069/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
바코드번호 has constant value ""Constant
수거품처리 has constant value ""Constant
폐기방법 has constant value ""Constant
부적합항목 has constant value ""Constant
기준치부적합내용 has constant value ""Constant
Dataset has 10 (0.2%) duplicate rowsDuplicates
업종명 is highly imbalanced (58.5%)Imbalance
계획구분코드 is highly imbalanced (54.7%)Imbalance
지도점검계획 is highly imbalanced (66.6%)Imbalance
수거사유코드 is highly imbalanced (51.7%)Imbalance
원료명 is highly imbalanced (98.1%)Imbalance
검사기관명 is highly imbalanced (66.7%)Imbalance
국가명 is highly imbalanced (89.9%)Imbalance
폐기일자 is highly imbalanced (99.8%)Imbalance
폐기량(kg) is highly imbalanced (99.8%)Imbalance
계획구분명 has 6090 (100.0%) missing valuesMissing
수거증번호 has 1209 (19.9%) missing valuesMissing
식품군코드 has 112 (1.8%) missing valuesMissing
식품군 has 1072 (17.6%) missing valuesMissing
품목명 has 442 (7.3%) missing valuesMissing
음식물명 has 5929 (97.4%) missing valuesMissing
생산업소 has 5544 (91.0%) missing valuesMissing
수거량(정량) has 1270 (20.9%) missing valuesMissing
제품규격(정량) has 2479 (40.7%) missing valuesMissing
수거량(자유) has 4820 (79.1%) missing valuesMissing
제조일자(일자) has 5309 (87.2%) missing valuesMissing
제조일자(롯트) has 6082 (99.9%) missing valuesMissing
유통기한(일자) has 5233 (85.9%) missing valuesMissing
유통기한(제조일기준) has 6039 (99.2%) missing valuesMissing
바코드번호 has 6089 (> 99.9%) missing valuesMissing
어린이기호식품유형 has 6090 (100.0%) missing valuesMissing
(구)제조사명 has 4250 (69.8%) missing valuesMissing
검사의뢰일자 has 3525 (57.9%) missing valuesMissing
결과회보일자 has 4004 (65.7%) missing valuesMissing
처리구분 has 6090 (100.0%) missing valuesMissing
수거검사구분코드 has 6090 (100.0%) missing valuesMissing
단속지역구분코드 has 6090 (100.0%) missing valuesMissing
수거장소구분코드 has 6090 (100.0%) missing valuesMissing
처리결과 has 6088 (> 99.9%) missing valuesMissing
수거품처리 has 6089 (> 99.9%) missing valuesMissing
폐기금액(원) has 6090 (100.0%) missing valuesMissing
폐기장소 has 6090 (100.0%) missing valuesMissing
폐기방법 has 6089 (> 99.9%) missing valuesMissing
소재지(도로명) has 2389 (39.2%) missing valuesMissing
소재지(지번) has 451 (7.4%) missing valuesMissing
업소전화번호 has 278 (4.6%) missing valuesMissing
점검일자 has 429 (7.0%) missing valuesMissing
점검내용 has 6090 (100.0%) missing valuesMissing
(구)제조유통기한 has 5233 (85.9%) missing valuesMissing
(구)제조회사주소 has 4411 (72.4%) missing valuesMissing
부적합항목 has 6089 (> 99.9%) missing valuesMissing
기준치부적합내용 has 6089 (> 99.9%) missing valuesMissing
계획구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
어린이기호식품유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
처리구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거검사구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단속지역구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수거장소구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기금액(원) is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기장소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점검내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 01:06:37.791757
Analysis finished2024-05-11 01:06:45.050609
Duration7.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
3090000
6090 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 6090
100.0%

Length

2024-05-11T01:06:45.284213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:45.584234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 6090
100.0%

업종코드
Real number (ℝ)

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.76568
Minimum101
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:06:45.806868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1114
median114
Q3114
95-th percentile114
Maximum134
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.7830006
Coefficient of variation (CV)0.042415392
Kurtosis5.0906465
Mean112.76568
Median Absolute Deviation (MAD)0
Skewness-0.12822209
Sum686743
Variance22.877094
MonotonicityIncreasing
2024-05-11T01:06:46.131401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
114 4597
75.5%
101 400
 
6.6%
105 217
 
3.6%
104 196
 
3.2%
113 183
 
3.0%
112 160
 
2.6%
121 140
 
2.3%
134 75
 
1.2%
106 42
 
0.7%
107 40
 
0.7%
Other values (3) 40
 
0.7%
ValueCountFrequency (%)
101 400
 
6.6%
104 196
 
3.2%
105 217
 
3.6%
106 42
 
0.7%
107 40
 
0.7%
111 1
 
< 0.1%
112 160
 
2.6%
113 183
 
3.0%
114 4597
75.5%
120 37
 
0.6%
ValueCountFrequency (%)
134 75
 
1.2%
122 2
 
< 0.1%
121 140
 
2.3%
120 37
 
0.6%
114 4597
75.5%
113 183
 
3.0%
112 160
 
2.6%
111 1
 
< 0.1%
107 40
 
0.7%
106 42
 
0.7%

업종명
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
기타식품판매업
4597 
일반음식점
 
400
집단급식소
 
217
휴게음식점
 
196
유통전문판매업
 
183
Other values (8)
497 

Length

Max length11
Median length7
Mean length6.7968801
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 4597
75.5%
일반음식점 400
 
6.6%
집단급식소 217
 
3.6%
휴게음식점 196
 
3.2%
유통전문판매업 183
 
3.0%
식품자동판매기영업 160
 
2.6%
제과점영업 140
 
2.3%
건강기능식품일반판매업 75
 
1.2%
식품제조가공업 42
 
0.7%
즉석판매제조가공업 40
 
0.7%
Other values (3) 40
 
0.7%

Length

2024-05-11T01:06:46.676519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타식품판매업 4597
75.5%
일반음식점 400
 
6.6%
집단급식소 217
 
3.6%
휴게음식점 196
 
3.2%
유통전문판매업 183
 
3.0%
식품자동판매기영업 160
 
2.6%
제과점영업 140
 
2.3%
건강기능식품일반판매업 75
 
1.2%
식품제조가공업 42
 
0.7%
즉석판매제조가공업 40
 
0.7%
Other values (3) 40
 
0.7%

계획구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
4466 
999
1561 
7
 
54
3
 
9

Length

Max length4
Median length4
Mean length3.7126437
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row<NA>
3rd row999
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4466
73.3%
999 1561
 
25.6%
7 54
 
0.9%
3 9
 
0.1%

Length

2024-05-11T01:06:47.026749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:47.271398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4466
73.3%
999 1561
 
25.6%
7 54
 
0.9%
3 9
 
0.1%

계획구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

지도점검계획
Categorical

IMBALANCE 

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
4466 
일상단속
501 
일상 위생점검및 식품수거검사
495 
민원에의한 자체단속(행정처분포함)
 
145
일상 위생점검 및 식품수거검사
 
81
Other values (26)
 
402

Length

Max length32
Median length4
Mean length6.21133
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row음식점 쇠고기 원산지표시 특별 지도점검계획
2nd row<NA>
3rd row자체 음식점 원산지 지도점검
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4466
73.3%
일상단속 501
 
8.2%
일상 위생점검및 식품수거검사 495
 
8.1%
민원에의한 자체단속(행정처분포함) 145
 
2.4%
일상 위생점검 및 식품수거검사 81
 
1.3%
2017 식품접객업소 조리식품 수거 55
 
0.9%
식품수거검사관리 47
 
0.8%
자체 음식점 원산지 지도점검 41
 
0.7%
식풉접객업소 조리식품 수거검사 40
 
0.7%
2018 집단식중독 발생업소 점검 26
 
0.4%
Other values (21) 193
 
3.2%

Length

2024-05-11T01:06:47.677884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4466
53.0%
일상 576
 
6.8%
식품수거검사 576
 
6.8%
일상단속 501
 
5.9%
위생점검및 495
 
5.9%
민원에의한 145
 
1.7%
자체단속(행정처분포함 145
 
1.7%
지도점검 104
 
1.2%
식품접객업소 100
 
1.2%
및 95
 
1.1%
Other values (62) 1222
 
14.5%

수거계획
Categorical

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
3963 
2016 다소비식품수거검사
 
344
2014년도 다소비수거 검사
 
297
2019년 다소비유통식품 수거
 
285
2021년 다소비 유통식품 수거
 
244
Other values (10)
957 

Length

Max length23
Median length4
Mean length7.9766831
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> 3963
65.1%
2016 다소비식품수거검사 344
 
5.6%
2014년도 다소비수거 검사 297
 
4.9%
2019년 다소비유통식품 수거 285
 
4.7%
2021년 다소비 유통식품 수거 244
 
4.0%
2018년 다소비유통식품 수거 238
 
3.9%
2017다소비유통식품수거 222
 
3.6%
2020년 다소비유통식품 수거 160
 
2.6%
2023년 다소비 유통식품 수거 119
 
2.0%
2015 다소비식품수거검사 113
 
1.9%
Other values (5) 105
 
1.7%

Length

2024-05-11T01:06:48.096716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3963
40.1%
수거 1121
 
11.3%
다소비유통식품 683
 
6.9%
다소비식품수거검사 457
 
4.6%
다소비 433
 
4.4%
유통식품 433
 
4.4%
2016 344
 
3.5%
2014년도 297
 
3.0%
다소비수거 297
 
3.0%
검사 297
 
3.0%
Other values (20) 1553
 
15.7%

수거증번호
Text

MISSING 

Distinct2347
Distinct (%)48.1%
Missing1209
Missing (%)19.9%
Memory size47.7 KiB
2024-05-11T01:06:48.736345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.7019053
Min length1

Characters and Unicode

Total characters37593
Distinct characters49
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

Unique1430 ?
Unique (%)29.3%

Sample

1st row110-05-27
2nd row110-06-49
3rd row110-7-23
4th row110-5-24
5th row110-11-4
ValueCountFrequency (%)
110-1-16 9
 
0.2%
110-1-15 9
 
0.2%
110-2-28 9
 
0.2%
110-2-1 9
 
0.2%
110-2-3 9
 
0.2%
110-7-7 9
 
0.2%
110-3-15 8
 
0.2%
110-6-5 8
 
0.2%
110-7-12 8
 
0.2%
110-6-2 8
 
0.2%
Other values (2338) 4797
98.2%
2024-05-11T01:06:49.912863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 12840
34.2%
- 8816
23.5%
0 5356
14.2%
2 2250
 
6.0%
3 1442
 
3.8%
9 1211
 
3.2%
8 1184
 
3.1%
5 1162
 
3.1%
4 1113
 
3.0%
7 1037
 
2.8%
Other values (39) 1182
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28594
76.1%
Dash Punctuation 8816
 
23.5%
Other Letter 146
 
0.4%
Uppercase Letter 24
 
0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Space Separator 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 21
14.4%
학 20
13.7%
용 15
10.3%
품 15
10.3%
생 14
9.6%
위 14
9.6%
도 6
 
4.1%
봉 6
 
4.1%
급 6
 
4.1%
수 2
 
1.4%
Other values (20) 27
18.5%
Decimal Number
ValueCountFrequency (%)
1 12840
44.9%
0 5356
18.7%
2 2250
 
7.9%
3 1442
 
5.0%
9 1211
 
4.2%
8 1184
 
4.1%
5 1162
 
4.1%
4 1113
 
3.9%
7 1037
 
3.6%
6 999
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
O 8
33.3%
G 8
33.3%
M 8
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 8816
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37423
99.5%
Hangul 146
 
0.4%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 21
14.4%
학 20
13.7%
용 15
10.3%
품 15
10.3%
생 14
9.6%
위 14
9.6%
도 6
 
4.1%
봉 6
 
4.1%
급 6
 
4.1%
수 2
 
1.4%
Other values (20) 27
18.5%
Common
ValueCountFrequency (%)
1 12840
34.3%
- 8816
23.6%
0 5356
14.3%
2 2250
 
6.0%
3 1442
 
3.9%
9 1211
 
3.2%
8 1184
 
3.2%
5 1162
 
3.1%
4 1113
 
3.0%
7 1037
 
2.8%
Other values (6) 1012
 
2.7%
Latin
ValueCountFrequency (%)
O 8
33.3%
G 8
33.3%
M 8
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37447
99.6%
Hangul 144
 
0.4%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 12840
34.3%
- 8816
23.5%
0 5356
14.3%
2 2250
 
6.0%
3 1442
 
3.9%
9 1211
 
3.2%
8 1184
 
3.2%
5 1162
 
3.1%
4 1113
 
3.0%
7 1037
 
2.8%
Other values (9) 1036
 
2.8%
Hangul
ValueCountFrequency (%)
방 21
14.6%
학 20
13.9%
용 15
10.4%
품 15
10.4%
생 14
9.7%
위 14
9.7%
도 6
 
4.2%
봉 6
 
4.2%
급 6
 
4.2%
수 2
 
1.4%
Other values (19) 25
17.4%
Compat Jamo
ValueCountFrequency (%)
ㅡ 2
100.0%

수거사유코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
검사용
4071 
<NA>
1980 
기타
 
33
증거용
 
6

Length

Max length4
Median length3
Mean length3.3197044
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검사용 4071
66.8%
<NA> 1980
32.5%
기타 33
 
0.5%
증거용 6
 
0.1%

Length

2024-05-11T01:06:50.201756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:06:50.527793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
검사용 4071
66.8%
na 1980
32.5%
기타 33
 
0.5%
증거용 6
 
0.1%

업소명
Text

Distinct458
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2024-05-11T01:06:51.000062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length11.274056
Min length2

Characters and Unicode

Total characters68659
Distinct characters437
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique246 ?
Unique (%)4.0%

Sample

1st row홍능갈비
2nd row함흥코다리냉면
3rd row도봉산 갈비
4th row자연산회집
5th row고향산천쌈밥
ValueCountFrequency (%)
농협유통창동농산물종합유통센타 1292
16.1%
주)이마트 717
 
9.0%
홈플러스테스코(주)방학점 527
 
6.6%
방학점 489
 
6.1%
홈플러스스토어즈(주 408
 
5.1%
도봉점 364
 
4.5%
롯데쇼핑(주 359
 
4.5%
롯데마트 350
 
4.4%
창동점 349
 
4.4%
주)킴스클럽마트 221
 
2.8%
Other values (506) 2926
36.6%
2024-05-11T01:06:51.881065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 3350
 
4.9%
) 3326
 
4.8%
( 3313
 
4.8%
농 2843
 
4.1%
유 2639
 
3.8%
통 2602
 
3.8%
점 2425
 
3.5%
스 2378
 
3.5%
마 2048
 
3.0%
동 2041
 
3.0%
Other values (427) 41694
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59371
86.5%
Close Punctuation 3326
 
4.8%
Open Punctuation 3313
 
4.8%
Space Separator 1914
 
2.8%
Uppercase Letter 582
 
0.8%
Decimal Number 126
 
0.2%
Other Punctuation 21
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3350
 
5.6%
농 2843
 
4.8%
유 2639
 
4.4%
통 2602
 
4.4%
점 2425
 
4.1%
스 2378
 
4.0%
마 2048
 
3.4%
동 2041
 
3.4%
트 1866
 
3.1%
창 1850
 
3.1%
Other values (399) 35329
59.5%
Uppercase Letter
ValueCountFrequency (%)
C 162
27.8%
V 155
26.6%
I 155
26.6%
T 36
 
6.2%
D 36
 
6.2%
K 16
 
2.7%
S 8
 
1.4%
O 6
 
1.0%
F 4
 
0.7%
P 3
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 117
92.9%
4 3
 
2.4%
1 2
 
1.6%
7 2
 
1.6%
3 1
 
0.8%
5 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
？ 7
33.3%
? 5
23.8%
. 4
19.0%
& 3
14.3%
@ 1
 
4.8%
, 1
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 3326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3313
100.0%
Space Separator
ValueCountFrequency (%)
1914
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59370
86.5%
Common 8705
 
12.7%
Latin 583
 
0.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3350
 
5.6%
농 2843
 
4.8%
유 2639
 
4.4%
통 2602
 
4.4%
점 2425
 
4.1%
스 2378
 
4.0%
마 2048
 
3.4%
동 2041
 
3.4%
트 1866
 
3.1%
창 1850
 
3.1%
Other values (398) 35328
59.5%
Common
ValueCountFrequency (%)
) 3326
38.2%
( 3313
38.1%
1914
22.0%
2 117
 
1.3%
？ 7
 
0.1%
? 5
 
0.1%
- 5
 
0.1%
. 4
 
< 0.1%
4 3
 
< 0.1%
& 3
 
< 0.1%
Other values (6) 8
 
0.1%
Latin
ValueCountFrequency (%)
C 162
27.8%
V 155
26.6%
I 155
26.6%
T 36
 
6.2%
D 36
 
6.2%
K 16
 
2.7%
S 8
 
1.4%
O 6
 
1.0%
F 4
 
0.7%
P 3
 
0.5%
Other values (2) 2
 
0.3%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59370
86.5%
ASCII 9281
 
13.5%
None 7
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 3350
 
5.6%
농 2843
 
4.8%
유 2639
 
4.4%
통 2602
 
4.4%
점 2425
 
4.1%
스 2378
 
4.0%
마 2048
 
3.4%
동 2041
 
3.4%
트 1866
 
3.1%
창 1850
 
3.1%
Other values (398) 35328
59.5%
ASCII
ValueCountFrequency (%)
) 3326
35.8%
( 3313
35.7%
1914
20.6%
C 162
 
1.7%
V 155
 
1.7%
I 155
 
1.7%
2 117
 
1.3%
T 36
 
0.4%
D 36
 
0.4%
K 16
 
0.2%
Other values (17) 51
 
0.5%
None
ValueCountFrequency (%)
？ 7
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%

식품군코드
Text

MISSING 

Distinct367
Distinct (%)6.1%
Missing112
Missing (%)1.8%
Memory size47.7 KiB
2024-05-11T01:06:52.202258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length10.549348
Min length1

Characters and Unicode

Total characters63064
Distinct characters19
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

Unique91 ?
Unique (%)1.5%

Sample

1st row121000000
2nd row
3rd rowB01000000
4th row
5th row
ValueCountFrequency (%)
801000000 346
 
6.5%
821000000 341
 
6.4%
818000000 327
 
6.1%
c01000000 295
 
5.5%
815000000 274
 
5.1%
829000000 192
 
3.6%
803000000 172
 
3.2%
802000000 151
 
2.8%
817000000 147
 
2.7%
820000000 139
 
2.6%
Other values (355) 2965
55.4%
2024-05-11T01:06:52.862748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40828
64.7%
1 5487
 
8.7%
4133
 
6.6%
8 3270
 
5.2%
2 2599
 
4.1%
C 2190
 
3.5%
3 1823
 
2.9%
5 577
 
0.9%
4 570
 
0.9%
9 504
 
0.8%
Other values (9) 1083
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56439
89.5%
Space Separator 4133
 
6.6%
Uppercase Letter 2492
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40828
72.3%
1 5487
 
9.7%
8 3270
 
5.8%
2 2599
 
4.6%
3 1823
 
3.2%
5 577
 
1.0%
4 570
 
1.0%
9 504
 
0.9%
7 415
 
0.7%
6 366
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 2190
87.9%
G 184
 
7.4%
E 53
 
2.1%
B 28
 
1.1%
H 19
 
0.8%
X 10
 
0.4%
A 7
 
0.3%
Z 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60572
96.0%
Latin 2492
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40828
67.4%
1 5487
 
9.1%
4133
 
6.8%
8 3270
 
5.4%
2 2599
 
4.3%
3 1823
 
3.0%
5 577
 
1.0%
4 570
 
0.9%
9 504
 
0.8%
7 415
 
0.7%
Latin
ValueCountFrequency (%)
C 2190
87.9%
G 184
 
7.4%
E 53
 
2.1%
B 28
 
1.1%
H 19
 
0.8%
X 10
 
0.4%
A 7
 
0.3%
Z 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40828
64.7%
1 5487
 
8.7%
4133
 
6.6%
8 3270
 
5.2%
2 2599
 
4.1%
C 2190
 
3.5%
3 1823
 
2.9%
5 577
 
0.9%
4 570
 
0.9%
9 504
 
0.8%
Other values (9) 1083
 
1.7%

식품군
Text

MISSING 

Distinct264
Distinct (%)5.3%
Missing1072
Missing (%)17.6%
Memory size47.7 KiB
2024-05-11T01:06:53.396129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length24
Mean length4.4635313
Min length1

Characters and Unicode

Total characters22398
Distinct characters288
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)1.4%

Sample

1st row식육류중육류
2nd row식육류중육류
3rd row식육류중육류
4th row조리식품 등
5th row조리식품 등
ValueCountFrequency (%)
과자류 428
 
7.8%
조미식품 348
 
6.3%
음료류 332
 
6.0%
면류 280
 
5.1%
기타식품류 197
 
3.6%
코코아가공품류또는초콜릿류 194
 
3.5%
커피 181
 
3.3%
빵또는떡류 158
 
2.9%
등 148
 
2.7%
식용유지류 141
 
2.6%
Other values (283) 3092
56.2%
2024-05-11T01:06:54.286233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
류 2847
 
12.7%
품 1663
 
7.4%
식 1360
 
6.1%
가 769
 
3.4%
공 701
 
3.1%
조 675
 
3.0%
과 606
 
2.7%
자 539
 
2.4%
481
 
2.1%
는 438
 
2.0%
Other values (278) 12319
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21633
96.6%
Space Separator 481
 
2.1%
Other Punctuation 98
 
0.4%
Close Punctuation 61
 
0.3%
Open Punctuation 61
 
0.3%
Uppercase Letter 42
 
0.2%
Decimal Number 18
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 2847
 
13.2%
품 1663
 
7.7%
식 1360
 
6.3%
가 769
 
3.6%
공 701
 
3.2%
조 675
 
3.1%
과 606
 
2.8%
자 539
 
2.5%
는 438
 
2.0%
또 429
 
2.0%
Other values (254) 11606
53.6%
Decimal Number
ValueCountFrequency (%)
0 4
22.2%
3 3
16.7%
1 3
16.7%
2 2
11.1%
6 2
11.1%
8 1
 
5.6%
7 1
 
5.6%
4 1
 
5.6%
9 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 10
23.8%
A 9
21.4%
D 7
16.7%
E 5
11.9%
P 4
 
9.5%
H 4
 
9.5%
B 2
 
4.8%
Q 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 54
55.1%
, 34
34.7%
/ 10
 
10.2%
Space Separator
ValueCountFrequency (%)
481
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21633
96.6%
Common 723
 
3.2%
Latin 42
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 2847
 
13.2%
품 1663
 
7.7%
식 1360
 
6.3%
가 769
 
3.6%
공 701
 
3.2%
조 675
 
3.1%
과 606
 
2.8%
자 539
 
2.5%
는 438
 
2.0%
또 429
 
2.0%
Other values (254) 11606
53.6%
Common
ValueCountFrequency (%)
481
66.5%
) 61
 
8.4%
( 61
 
8.4%
. 54
 
7.5%
, 34
 
4.7%
/ 10
 
1.4%
0 4
 
0.6%
- 4
 
0.6%
3 3
 
0.4%
1 3
 
0.4%
Other values (6) 8
 
1.1%
Latin
ValueCountFrequency (%)
C 10
23.8%
A 9
21.4%
D 7
16.7%
E 5
11.9%
P 4
 
9.5%
H 4
 
9.5%
B 2
 
4.8%
Q 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21633
96.6%
ASCII 765
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
류 2847
 
13.2%
품 1663
 
7.7%
식 1360
 
6.3%
가 769
 
3.6%
공 701
 
3.2%
조 675
 
3.1%
과 606
 
2.8%
자 539
 
2.5%
는 438
 
2.0%
또 429
 
2.0%
Other values (254) 11606
53.6%
ASCII
ValueCountFrequency (%)
481
62.9%
) 61
 
8.0%
( 61
 
8.0%
. 54
 
7.1%
, 34
 
4.4%
/ 10
 
1.3%
C 10
 
1.3%
A 9
 
1.2%
D 7
 
0.9%
E 5
 
0.7%
Other values (14) 33
 
4.3%

품목명
Text

MISSING 

Distinct292
Distinct (%)5.2%
Missing442
Missing (%)7.3%
Memory size47.7 KiB
2024-05-11T01:06:54.843720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length24
Mean length4.5688739
Min length1

Characters and Unicode

Total characters25805
Distinct characters314
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)1.4%

Sample

1st row소고기
2nd row조리식품 등
3rd row소고기
4th row소고기
5th row소고기
ValueCountFrequency (%)
조리식품 390
 
6.0%
등 382
 
5.8%
소스류 305
 
4.7%
과자 286
 
4.4%
즉석조리식품 238
 
3.6%
초콜릿가공품 236
 
3.6%
유탕면류 226
 
3.5%
캔디류 174
 
2.7%
빵류 152
 
2.3%
혼합음료 147
 
2.2%
Other values (313) 4009
61.3%
2024-05-11T01:06:55.874484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 1447
 
5.6%
류 1318
 
5.1%
식 975
 
3.8%
조 906
 
3.5%
897
 
3.5%
가 800
 
3.1%
리 794
 
3.1%
공 683
 
2.6%
소 651
 
2.5%
과 617
 
2.4%
Other values (304) 16717
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23926
92.7%
Space Separator 897
 
3.5%
Close Punctuation 335
 
1.3%
Open Punctuation 335
 
1.3%
Other Punctuation 242
 
0.9%
Uppercase Letter 47
 
0.2%
Decimal Number 18
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 1447
 
6.0%
류 1318
 
5.5%
식 975
 
4.1%
조 906
 
3.8%
가 800
 
3.3%
리 794
 
3.3%
공 683
 
2.9%
소 651
 
2.7%
과 617
 
2.6%
기 591
 
2.5%
Other values (280) 15144
63.3%
Decimal Number
ValueCountFrequency (%)
0 4
22.2%
3 3
16.7%
1 3
16.7%
2 2
11.1%
6 2
11.1%
7 1
 
5.6%
9 1
 
5.6%
8 1
 
5.6%
4 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 15
31.9%
A 9
19.1%
D 7
14.9%
E 5
 
10.6%
P 4
 
8.5%
H 4
 
8.5%
B 2
 
4.3%
Q 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 184
76.0%
, 48
 
19.8%
/ 10
 
4.1%
Space Separator
ValueCountFrequency (%)
897
100.0%
Close Punctuation
ValueCountFrequency (%)
) 335
100.0%
Open Punctuation
ValueCountFrequency (%)
( 335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23926
92.7%
Common 1832
 
7.1%
Latin 47
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 1447
 
6.0%
류 1318
 
5.5%
식 975
 
4.1%
조 906
 
3.8%
가 800
 
3.3%
리 794
 
3.3%
공 683
 
2.9%
소 651
 
2.7%
과 617
 
2.6%
기 591
 
2.5%
Other values (280) 15144
63.3%
Common
ValueCountFrequency (%)
897
49.0%
) 335
 
18.3%
( 335
 
18.3%
. 184
 
10.0%
, 48
 
2.6%
/ 10
 
0.5%
- 5
 
0.3%
0 4
 
0.2%
3 3
 
0.2%
1 3
 
0.2%
Other values (6) 8
 
0.4%
Latin
ValueCountFrequency (%)
C 15
31.9%
A 9
19.1%
D 7
14.9%
E 5
 
10.6%
P 4
 
8.5%
H 4
 
8.5%
B 2
 
4.3%
Q 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23926
92.7%
ASCII 1879
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 1447
 
6.0%
류 1318
 
5.5%
식 975
 
4.1%
조 906
 
3.8%
가 800
 
3.3%
리 794
 
3.3%
공 683
 
2.9%
소 651
 
2.7%
과 617
 
2.6%
기 591
 
2.5%
Other values (280) 15144
63.3%
ASCII
ValueCountFrequency (%)
897
47.7%
) 335
 
17.8%
( 335
 
17.8%
. 184
 
9.8%
, 48
 
2.6%
C 15
 
0.8%
/ 10
 
0.5%
A 9
 
0.5%
D 7
 
0.4%
- 5
 
0.3%
Other values (14) 34
 
1.8%

제품명
Text

Distinct4573
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2024-05-11T01:06:56.412828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length48
Mean length8.3490969
Min length1

Characters and Unicode

Total characters50846
Distinct characters911
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3848 ?
Unique (%)63.2%

Sample

1st row한우
2nd row물냉면
3rd row한우(등심)
4th row수족관물
5th row커피
ValueCountFrequency (%)
오뚜기 78
 
0.9%
커피 75
 
0.8%
청정원 72
 
0.8%
쿠키 42
 
0.5%
백설 34
 
0.4%
냉면육수 27
 
0.3%
27
 
0.3%
이마트 26
 
0.3%
3분 25
 
0.3%
sauce 25
 
0.3%
Other values (5432) 8680
95.3%
2024-05-11T01:06:57.555217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3028
 
6.0%
스 1180
 
2.3%
기 842
 
1.7%
리 819
 
1.6%
이 792
 
1.6%
오 611
 
1.2%
고 519
 
1.0%
E 501
 
1.0%
A 485
 
1.0%
치 458
 
0.9%
Other values (901) 41611
81.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40488
79.6%
Uppercase Letter 4984
 
9.8%
Space Separator 3028
 
6.0%
Decimal Number 829
 
1.6%
Lowercase Letter 500
 
1.0%
Close Punctuation 321
 
0.6%
Open Punctuation 320
 
0.6%
Other Punctuation 198
 
0.4%
Dash Punctuation 159
 
0.3%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1180
 
2.9%
기 842
 
2.1%
리 819
 
2.0%
이 792
 
2.0%
오 611
 
1.5%
고 519
 
1.3%
치 458
 
1.1%
마 457
 
1.1%
드 450
 
1.1%
소 449
 
1.1%
Other values (819) 33911
83.8%
Uppercase Letter
ValueCountFrequency (%)
E 501
 
10.1%
A 485
 
9.7%
I 417
 
8.4%
O 370
 
7.4%
S 341
 
6.8%
R 302
 
6.1%
C 292
 
5.9%
N 292
 
5.9%
T 280
 
5.6%
L 254
 
5.1%
Other values (16) 1450
29.1%
Lowercase Letter
ValueCountFrequency (%)
e 52
10.4%
m 51
10.2%
a 48
 
9.6%
p 41
 
8.2%
i 39
 
7.8%
s 38
 
7.6%
u 29
 
5.8%
l 26
 
5.2%
o 26
 
5.2%
r 24
 
4.8%
Other values (15) 126
25.2%
Other Punctuation
ValueCountFrequency (%)
% 40
20.2%
& 32
16.2%
/ 29
14.6%
, 22
11.1%
; 17
8.6%
？ 15
 
7.6%
. 15
 
7.6%
? 11
 
5.6%
' 7
 
3.5%
! 6
 
3.0%
Other values (3) 4
 
2.0%
Decimal Number
ValueCountFrequency (%)
0 239
28.8%
1 218
26.3%
2 114
13.8%
3 93
 
11.2%
5 40
 
4.8%
7 34
 
4.1%
6 33
 
4.0%
4 28
 
3.4%
9 20
 
2.4%
8 10
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 319
99.4%
] 2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 318
99.4%
[ 2
 
0.6%
Space Separator
ValueCountFrequency (%)
3028
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Math Symbol
ValueCountFrequency (%)
+ 16
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40474
79.6%
Latin 5487
 
10.8%
Common 4871
 
9.6%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1180
 
2.9%
기 842
 
2.1%
리 819
 
2.0%
이 792
 
2.0%
오 611
 
1.5%
고 519
 
1.3%
치 458
 
1.1%
마 457
 
1.1%
드 450
 
1.1%
소 449
 
1.1%
Other values (811) 33897
83.8%
Latin
ValueCountFrequency (%)
E 501
 
9.1%
A 485
 
8.8%
I 417
 
7.6%
O 370
 
6.7%
S 341
 
6.2%
R 302
 
5.5%
C 292
 
5.3%
N 292
 
5.3%
T 280
 
5.1%
L 254
 
4.6%
Other values (42) 1953
35.6%
Common
ValueCountFrequency (%)
3028
62.2%
) 319
 
6.5%
( 318
 
6.5%
0 239
 
4.9%
1 218
 
4.5%
- 159
 
3.3%
2 114
 
2.3%
3 93
 
1.9%
% 40
 
0.8%
5 40
 
0.8%
Other values (20) 303
 
6.2%
Han
ValueCountFrequency (%)
生 2
14.3%
茶 2
14.3%
安 2
14.3%
心 2
14.3%
男 2
14.3%
茶 2
14.3%
熟 1
7.1%
秀 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40474
79.6%
ASCII 10340
 
20.3%
None 15
 
< 0.1%
CJK 12
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3028
29.3%
E 501
 
4.8%
A 485
 
4.7%
I 417
 
4.0%
O 370
 
3.6%
S 341
 
3.3%
) 319
 
3.1%
( 318
 
3.1%
R 302
 
2.9%
C 292
 
2.8%
Other values (70) 3967
38.4%
Hangul
ValueCountFrequency (%)
스 1180
 
2.9%
기 842
 
2.1%
리 819
 
2.0%
이 792
 
2.0%
오 611
 
1.5%
고 519
 
1.3%
치 458
 
1.1%
마 457
 
1.1%
드 450
 
1.1%
소 449
 
1.1%
Other values (811) 33897
83.8%
None
ValueCountFrequency (%)
？ 15
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
CJK
ValueCountFrequency (%)
生 2
16.7%
茶 2
16.7%
安 2
16.7%
心 2
16.7%
男 2
16.7%
熟 1
8.3%
秀 1
8.3%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 2
100.0%

음식물명
Text

MISSING 

Distinct86
Distinct (%)53.4%
Missing5929
Missing (%)97.4%
Memory size47.7 KiB
2024-05-11T01:06:58.083831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length4.0062112
Min length1

Characters and Unicode

Total characters645
Distinct characters183
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)42.2%

Sample

1st row커피
2nd row커피
3rd row커피
4th row커피
5th row수족관물
ValueCountFrequency (%)
커피 33
 
19.9%
쿠키 9
 
5.4%
배추김치 6
 
3.6%
율무차 6
 
3.6%
케익 5
 
3.0%
종사자손 5
 
3.0%
생크림케익 4
 
2.4%
패스츄리 3
 
1.8%
코코아 3
 
1.8%
페스츄리 3
 
1.8%
Other values (81) 89
53.6%
2024-05-11T01:06:58.847945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
커 33
 
5.1%
피 33
 
5.1%
무 15
 
2.3%
리 15
 
2.3%
치 14
 
2.2%
( 13
 
2.0%
) 13
 
2.0%
밥 12
 
1.9%
스 12
 
1.9%
자 11
 
1.7%
Other values (173) 474
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 611
94.7%
Open Punctuation 13
 
2.0%
Close Punctuation 13
 
2.0%
Space Separator 5
 
0.8%
Other Punctuation 2
 
0.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
커 33
 
5.4%
피 33
 
5.4%
무 15
 
2.5%
리 15
 
2.5%
치 14
 
2.3%
밥 12
 
2.0%
스 12
 
2.0%
자 11
 
1.8%
기 11
 
1.8%
김 11
 
1.8%
Other values (167) 444
72.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 611
94.7%
Common 34
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
커 33
 
5.4%
피 33
 
5.4%
무 15
 
2.5%
리 15
 
2.5%
치 14
 
2.3%
밥 12
 
2.0%
스 12
 
2.0%
자 11
 
1.8%
기 11
 
1.8%
김 11
 
1.8%
Other values (167) 444
72.7%
Common
ValueCountFrequency (%)
( 13
38.2%
) 13
38.2%
5
 
14.7%
, 1
 
2.9%
2 1
 
2.9%
/ 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 611
94.7%
ASCII 34
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
커 33
 
5.4%
피 33
 
5.4%
무 15
 
2.5%
리 15
 
2.5%
치 14
 
2.3%
밥 12
 
2.0%
스 12
 
2.0%
자 11
 
1.8%
기 11
 
1.8%
김 11
 
1.8%
Other values (167) 444
72.7%
ASCII
ValueCountFrequency (%)
( 13
38.2%
) 13
38.2%
5
 
14.7%
, 1
 
2.9%
2 1
 
2.9%
/ 1
 
2.9%

원료명
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
6048 
소고기(한우)
 
26
피망(농산물)
 
2
풋호박(농산물)
 
1
미역
 
1
Other values (12)
 
12

Length

Max length11
Median length4
Mean length4.0220033
Min length2

Unique

Unique14 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6048
99.3%
소고기(한우) 26
 
0.4%
피망(농산물) 2
 
< 0.1%
풋호박(농산물) 1
 
< 0.1%
미역 1
 
< 0.1%
양파 1
 
< 0.1%
백합(조개류-생물) 1
 
< 0.1%
자두(농산물) 1
 
< 0.1%
방울토마토(농산물 1
 
< 0.1%
부추(농산물) 1
 
< 0.1%
Other values (7) 7
 
0.1%

Length

2024-05-11T01:06:59.249040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6048
99.3%
소고기(한우 26
 
0.4%
피망(농산물 2
 
< 0.1%
가지(농산물 1
 
< 0.1%
오이(농산물 1
 
< 0.1%
가자미(수산물/생물 1
 
< 0.1%
자반(수산물/생물 1
 
< 0.1%
풋고추(농산물 1
 
< 0.1%
상추(농산물 1
 
< 0.1%
방울토마토(농산물 1
 
< 0.1%
Other values (7) 7
 
0.1%

생산업소
Text

MISSING 

Distinct185
Distinct (%)33.9%
Missing5544
Missing (%)91.0%
Memory size47.7 KiB
2024-05-11T01:06:59.787841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length14
Mean length6.5842491
Min length2

Characters and Unicode

Total characters3595
Distinct characters277
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)20.9%

Sample

1st row감포면옥
2nd row감포면옥
3rd row대어식당
4th row황금성
5th row푸른들식품
ValueCountFrequency (%)
주)오뚜기 47
 
8.4%
대상(주 34
 
6.1%
씨제이제일제당(주 30
 
5.4%
도봉구청 26
 
4.7%
농심 19
 
3.4%
롯데칠성음료(주 17
 
3.1%
롯데제과(주 14
 
2.5%
주)오리온 11
 
2.0%
한국네슬레(주 10
 
1.8%
코카콜라음료(주 10
 
1.8%
Other values (183) 339
60.9%
2024-05-11T01:07:00.680588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 395
 
11.0%
) 395
 
11.0%
주 395
 
11.0%
제 153
 
4.3%
오 87
 
2.4%
식 82
 
2.3%
품 81
 
2.3%
기 71
 
2.0%
뚜 68
 
1.9%
이 52
 
1.4%
Other values (267) 1816
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2704
75.2%
Open Punctuation 395
 
11.0%
Close Punctuation 395
 
11.0%
Uppercase Letter 44
 
1.2%
Lowercase Letter 32
 
0.9%
Space Separator 11
 
0.3%
Decimal Number 8
 
0.2%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 395
 
14.6%
제 153
 
5.7%
오 87
 
3.2%
식 82
 
3.0%
품 81
 
3.0%
기 71
 
2.6%
뚜 68
 
2.5%
이 52
 
1.9%
상 51
 
1.9%
대 50
 
1.8%
Other values (228) 1614
59.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
12.5%
a 4
12.5%
d 3
9.4%
f 3
9.4%
u 2
 
6.2%
n 2
 
6.2%
b 2
 
6.2%
p 2
 
6.2%
m 2
 
6.2%
x 1
 
3.1%
Other values (7) 7
21.9%
Uppercase Letter
ValueCountFrequency (%)
F 14
31.8%
S 9
20.5%
O 6
13.6%
C 4
 
9.1%
P 3
 
6.8%
N 3
 
6.8%
K 2
 
4.5%
Q 1
 
2.3%
H 1
 
2.3%
M 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
3 3
37.5%
2 2
25.0%
4 1
 
12.5%
8 1
 
12.5%
6 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
& 2
33.3%
; 2
33.3%
？ 1
16.7%
. 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 395
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2704
75.2%
Common 815
 
22.7%
Latin 76
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 395
 
14.6%
제 153
 
5.7%
오 87
 
3.2%
식 82
 
3.0%
품 81
 
3.0%
기 71
 
2.6%
뚜 68
 
2.5%
이 52
 
1.9%
상 51
 
1.9%
대 50
 
1.8%
Other values (228) 1614
59.7%
Latin
ValueCountFrequency (%)
F 14
18.4%
S 9
 
11.8%
O 6
 
7.9%
o 4
 
5.3%
a 4
 
5.3%
C 4
 
5.3%
P 3
 
3.9%
d 3
 
3.9%
N 3
 
3.9%
f 3
 
3.9%
Other values (17) 23
30.3%
Common
ValueCountFrequency (%)
( 395
48.5%
) 395
48.5%
11
 
1.3%
3 3
 
0.4%
2 2
 
0.2%
& 2
 
0.2%
; 2
 
0.2%
？ 1
 
0.1%
. 1
 
0.1%
4 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2704
75.2%
ASCII 890
 
24.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 395
44.4%
) 395
44.4%
F 14
 
1.6%
11
 
1.2%
S 9
 
1.0%
O 6
 
0.7%
o 4
 
0.4%
a 4
 
0.4%
C 4
 
0.4%
P 3
 
0.3%
Other values (28) 45
 
5.1%
Hangul
ValueCountFrequency (%)
주 395
 
14.6%
제 153
 
5.7%
오 87
 
3.2%
식 82
 
3.0%
품 81
 
3.0%
기 71
 
2.6%
뚜 68
 
2.5%
이 52
 
1.9%
상 51
 
1.9%
대 50
 
1.8%
Other values (228) 1614
59.7%
None
ValueCountFrequency (%)
？ 1
100.0%

수거일자
Real number (ℝ)

Distinct337
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20143509
Minimum20010630
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:01.041839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010630
5-th percentile20091125
Q120110926
median20130926
Q320171114
95-th percentile20211117
Maximum20240314
Range229684
Interquartile range (IQR)60188

Descriptive statistics

Standard deviation40383.217
Coefficient of variation (CV)0.0020047756
Kurtosis-0.67392589
Mean20143509
Median Absolute Deviation (MAD)29818
Skewness0.52951813
Sum1.2267397 × 1011
Variance1.6308042 × 109
MonotonicityNot monotonic
2024-05-11T01:07:01.362054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111012 138
 
2.3%
20110926 138
 
2.3%
20111117 111
 
1.8%
20101108 107
 
1.8%
20091125 105
 
1.7%
20110919 105
 
1.7%
20101129 100
 
1.6%
20101126 99
 
1.6%
20140213 97
 
1.6%
20100708 93
 
1.5%
Other values (327) 4997
82.1%
ValueCountFrequency (%)
20010630 1
 
< 0.1%
20020803 1
 
< 0.1%
20021202 1
 
< 0.1%
20060704 16
0.3%
20060720 14
0.2%
20071113 1
 
< 0.1%
20090109 13
0.2%
20090216 21
0.3%
20090422 7
 
0.1%
20090505 1
 
< 0.1%
ValueCountFrequency (%)
20240314 4
 
0.1%
20240313 1
 
< 0.1%
20240305 1
 
< 0.1%
20240304 43
0.7%
20240223 1
 
< 0.1%
20240118 1
 
< 0.1%
20240117 31
0.5%
20240115 2
 
< 0.1%
20231121 5
 
0.1%
20231116 20
0.3%

수거량(정량)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)1.2%
Missing1270
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean24.646465
Minimum0.1
Maximum3750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:01.650295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1
Q11
median2
Q33
95-th percentile7
Maximum3750
Range3749.9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation168.27873
Coefficient of variation (CV)6.8277026
Kurtosis223.61861
Mean24.646465
Median Absolute Deviation (MAD)1
Skewness12.878606
Sum118795.96
Variance28317.731
MonotonicityNot monotonic
2024-05-11T01:07:01.981542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 1870
30.7%
2.0 1272
20.9%
3.0 605
 
9.9%
6.0 508
 
8.3%
4.0 183
 
3.0%
5.0 111
 
1.8%
7.0 28
 
0.5%
600.0 28
 
0.5%
250.0 27
 
0.4%
8.0 24
 
0.4%
Other values (48) 164
 
2.7%
(Missing) 1270
20.9%
ValueCountFrequency (%)
0.1 7
 
0.1%
0.13 2
 
< 0.1%
1.0 1870
30.7%
2.0 1272
20.9%
3.0 605
 
9.9%
4.0 183
 
3.0%
5.0 111
 
1.8%
6.0 508
 
8.3%
7.0 28
 
0.5%
8.0 24
 
0.4%
ValueCountFrequency (%)
3750.0 3
< 0.1%
3600.0 1
 
< 0.1%
2000.0 1
 
< 0.1%
1936.0 1
 
< 0.1%
1860.0 1
 
< 0.1%
1840.0 1
 
< 0.1%
1600.0 7
0.1%
1500.0 1
 
< 0.1%
1440.0 1
 
< 0.1%
1400.0 1
 
< 0.1%

제품규격(정량)
Text

MISSING 

Distinct564
Distinct (%)15.6%
Missing2479
Missing (%)40.7%
Memory size47.7 KiB
2024-05-11T01:07:02.639287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.9584603
Min length1

Characters and Unicode

Total characters10683
Distinct characters69
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)8.1%

Sample

1st row100
2nd row100
3rd rowml
4th row100
5th row100
ValueCountFrequency (%)
600 254
 
7.0%
1 201
 
5.6%
100 166
 
4.6%
500 164
 
4.5%
300 124
 
3.4%
400 91
 
2.5%
200 91
 
2.5%
350 90
 
2.5%
900 81
 
2.2%
g 77
 
2.1%
Other values (548) 2272
62.9%
2024-05-11T01:07:03.727891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3856
36.1%
5 1052
 
9.8%
1 1007
 
9.4%
2 826
 
7.7%
3 784
 
7.3%
6 607
 
5.7%
4 481
 
4.5%
g 422
 
4.0%
8 363
 
3.4%
9 257
 
2.4%
Other values (59) 1028
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9490
88.8%
Lowercase Letter 854
 
8.0%
Other Letter 138
 
1.3%
Uppercase Letter 109
 
1.0%
Other Punctuation 92
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 69
50.0%
손 5
 
3.6%
마 4
 
2.9%
이 3
 
2.2%
국 3
 
2.2%
채 3
 
2.2%
밥 2
 
1.4%
림 2
 
1.4%
조 2
 
1.4%
기 2
 
1.4%
Other values (37) 43
31.2%
Decimal Number
ValueCountFrequency (%)
0 3856
40.6%
5 1052
 
11.1%
1 1007
 
10.6%
2 826
 
8.7%
3 784
 
8.3%
6 607
 
6.4%
4 481
 
5.1%
8 363
 
3.8%
9 257
 
2.7%
7 257
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
g 422
49.4%
m 199
23.3%
l 199
23.3%
k 22
 
2.6%
e 6
 
0.7%
a 6
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
G 54
49.5%
L 22
20.2%
K 20
 
18.3%
M 12
 
11.0%
I 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9582
89.7%
Latin 963
 
9.0%
Hangul 138
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 69
50.0%
손 5
 
3.6%
마 4
 
2.9%
이 3
 
2.2%
국 3
 
2.2%
채 3
 
2.2%
밥 2
 
1.4%
림 2
 
1.4%
조 2
 
1.4%
기 2
 
1.4%
Other values (37) 43
31.2%
Common
ValueCountFrequency (%)
0 3856
40.2%
5 1052
 
11.0%
1 1007
 
10.5%
2 826
 
8.6%
3 784
 
8.2%
6 607
 
6.3%
4 481
 
5.0%
8 363
 
3.8%
9 257
 
2.7%
7 257
 
2.7%
Latin
ValueCountFrequency (%)
g 422
43.8%
m 199
20.7%
l 199
20.7%
G 54
 
5.6%
L 22
 
2.3%
k 22
 
2.3%
K 20
 
2.1%
M 12
 
1.2%
e 6
 
0.6%
a 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10545
98.7%
Hangul 135
 
1.3%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3856
36.6%
5 1052
 
10.0%
1 1007
 
9.5%
2 826
 
7.8%
3 784
 
7.4%
6 607
 
5.8%
4 481
 
4.6%
g 422
 
4.0%
8 363
 
3.4%
9 257
 
2.4%
Other values (12) 890
 
8.4%
Hangul
ValueCountFrequency (%)
개 69
51.1%
손 5
 
3.7%
마 4
 
3.0%
이 3
 
2.2%
국 3
 
2.2%
채 3
 
2.2%
밥 2
 
1.5%
림 2
 
1.5%
조 2
 
1.5%
기 2
 
1.5%
Other values (34) 40
29.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
33.3%
ㄷ 1
33.3%
ㅇ 1
33.3%

단위(정량)
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
3248 
g
2097 
ML
463 
KG
 
219
LT
 
55

Length

Max length4
Median length4
Mean length2.7210181
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3248
53.3%
g 2097
34.4%
ML 463
 
7.6%
KG 219
 
3.6%
LT 55
 
0.9%
매 8
 
0.1%

Length

2024-05-11T01:07:04.009879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:04.292511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3248
53.3%
g 2097
34.4%
ml 463
 
7.6%
kg 219
 
3.6%
lt 55
 
0.9%
매 8
 
0.1%

수거량(자유)
Text

MISSING 

Distinct460
Distinct (%)36.2%
Missing4820
Missing (%)79.1%
Memory size47.7 KiB
2024-05-11T01:07:04.978612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length5.8740157
Min length2

Characters and Unicode

Total characters7460
Distinct characters50
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)20.5%

Sample

1st row600g
2nd row600g
3rd row600g
4th row600g
5th row600g
ValueCountFrequency (%)
600g 78
 
5.9%
900ml*1 47
 
3.6%
500ml*2 32
 
2.4%
300g*2 27
 
2.0%
100g*6 24
 
1.8%
120g*5 23
 
1.7%
200g*3 22
 
1.7%
100g 21
 
1.6%
210g*3 21
 
1.6%
1kg*1 19
 
1.4%
Other values (399) 1004
76.2%
2024-05-11T01:07:05.831190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1330
17.8%
* 1052
14.1%
2 771
10.3%
1 747
10.0%
5 497
 
6.7%
G 449
 
6.0%
g 418
 
5.6%
3 393
 
5.3%
6 285
 
3.8%
4 262
 
3.5%
Other values (40) 1256
16.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4648
62.3%
Other Punctuation 1083
 
14.5%
Uppercase Letter 838
 
11.2%
Lowercase Letter 715
 
9.6%
Other Letter 116
 
1.6%
Space Separator 48
 
0.6%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 42
36.2%
스 12
 
10.3%
왑 12
 
10.3%
줄 10
 
8.6%
펫 6
 
5.2%
피 6
 
5.2%
매 4
 
3.4%
이 3
 
2.6%
상 3
 
2.6%
리 3
 
2.6%
Other values (10) 15
 
12.9%
Decimal Number
ValueCountFrequency (%)
0 1330
28.6%
2 771
16.6%
1 747
16.1%
5 497
 
10.7%
3 393
 
8.5%
6 285
 
6.1%
4 262
 
5.6%
8 153
 
3.3%
9 118
 
2.5%
7 92
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
g 418
58.5%
m 132
 
18.5%
l 132
 
18.5%
k 17
 
2.4%
x 10
 
1.4%
p 4
 
0.6%
a 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
G 449
53.6%
L 199
23.7%
M 156
 
18.6%
K 14
 
1.7%
E 10
 
1.2%
A 10
 
1.2%
Other Punctuation
ValueCountFrequency (%)
* 1052
97.1%
. 27
 
2.5%
; 2
 
0.2%
& 2
 
0.2%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5791
77.6%
Latin 1553
 
20.8%
Hangul 116
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 42
36.2%
스 12
 
10.3%
왑 12
 
10.3%
줄 10
 
8.6%
펫 6
 
5.2%
피 6
 
5.2%
매 4
 
3.4%
이 3
 
2.6%
상 3
 
2.6%
리 3
 
2.6%
Other values (10) 15
 
12.9%
Common
ValueCountFrequency (%)
0 1330
23.0%
* 1052
18.2%
2 771
13.3%
1 747
12.9%
5 497
 
8.6%
3 393
 
6.8%
6 285
 
4.9%
4 262
 
4.5%
8 153
 
2.6%
9 118
 
2.0%
Other values (7) 183
 
3.2%
Latin
ValueCountFrequency (%)
G 449
28.9%
g 418
26.9%
L 199
12.8%
M 156
 
10.0%
m 132
 
8.5%
l 132
 
8.5%
k 17
 
1.1%
K 14
 
0.9%
x 10
 
0.6%
E 10
 
0.6%
Other values (3) 16
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7344
98.4%
Hangul 115
 
1.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1330
18.1%
* 1052
14.3%
2 771
10.5%
1 747
10.2%
5 497
 
6.8%
G 449
 
6.1%
g 418
 
5.7%
3 393
 
5.4%
6 285
 
3.9%
4 262
 
3.6%
Other values (20) 1140
15.5%
Hangul
ValueCountFrequency (%)
개 42
36.5%
스 12
 
10.4%
왑 12
 
10.4%
줄 10
 
8.7%
펫 6
 
5.2%
피 6
 
5.2%
매 4
 
3.5%
이 3
 
2.6%
상 3
 
2.6%
리 3
 
2.6%
Other values (9) 14
 
12.2%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
100.0%

제조일자(일자)
Real number (ℝ)

MISSING 

Distinct237
Distinct (%)30.3%
Missing5309
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean20171696
Minimum20110530
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:06.271847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110530
5-th percentile20120509
Q120160627
median20170814
Q320181203
95-th percentile20230713
Maximum20240314
Range129784
Interquartile range (IQR)20576

Descriptive statistics

Standard deviation29079.256
Coefficient of variation (CV)0.0014415871
Kurtosis-0.041556646
Mean20171696
Median Absolute Deviation (MAD)10217
Skewness0.17042593
Sum1.5754095 × 1010
Variance8.4560315 × 108
MonotonicityNot monotonic
2024-05-11T01:07:06.880730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120203 26
 
0.4%
20160627 23
 
0.4%
20170803 20
 
0.3%
20170831 19
 
0.3%
20161212 17
 
0.3%
20131107 13
 
0.2%
20180706 12
 
0.2%
20120529 12
 
0.2%
20190617 10
 
0.2%
20161007 10
 
0.2%
Other values (227) 619
 
10.2%
(Missing) 5309
87.2%
ValueCountFrequency (%)
20110530 1
 
< 0.1%
20120203 26
0.4%
20120207 4
 
0.1%
20120222 2
 
< 0.1%
20120413 1
 
< 0.1%
20120418 2
 
< 0.1%
20120426 3
 
< 0.1%
20120509 7
 
0.1%
20120511 1
 
< 0.1%
20120529 12
0.2%
ValueCountFrequency (%)
20240314 4
0.1%
20240312 1
 
< 0.1%
20240305 1
 
< 0.1%
20240304 3
< 0.1%
20240223 1
 
< 0.1%
20240115 2
< 0.1%
20231208 1
 
< 0.1%
20231129 1
 
< 0.1%
20231108 1
 
< 0.1%
20231027 1
 
< 0.1%

제조일자(롯트)
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing6082
Missing (%)99.9%
Memory size47.7 KiB
2024-05-11T01:07:07.252105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.25
Min length4

Characters and Unicode

Total characters74
Distinct characters22
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

Unique4 ?
Unique (%)50.0%

Sample

1st row당일수거
2nd row당일수거
3rd row당일수거
4th row당일수거
5th row인증번호 10-30-6-5
ValueCountFrequency (%)
당일수거 4
33.3%
인증번호 2
16.7%
10-30-6-5 1
 
8.3%
31-6-30호 1
 
8.3%
인증번호10-30-6-5 1
 
8.3%
2020.10.19 1
 
8.3%
이후 1
 
8.3%
9개월 1
 
8.3%
2024-05-11T01:07:08.050555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8
 
10.8%
0 8
 
10.8%
1 5
 
6.8%
호 4
 
5.4%
3 4
 
5.4%
일 4
 
5.4%
4
 
5.4%
당 4
 
5.4%
거 4
 
5.4%
수 4
 
5.4%
Other values (12) 25
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
44.6%
Decimal Number 26
35.1%
Dash Punctuation 8
 
10.8%
Space Separator 4
 
5.4%
Other Punctuation 3
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 4
12.1%
일 4
12.1%
당 4
12.1%
거 4
12.1%
수 4
12.1%
번 3
9.1%
증 3
9.1%
인 3
9.1%
이 1
 
3.0%
후 1
 
3.0%
Other values (2) 2
6.1%
Decimal Number
ValueCountFrequency (%)
0 8
30.8%
1 5
19.2%
3 4
15.4%
6 3
 
11.5%
5 2
 
7.7%
2 2
 
7.7%
9 2
 
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
55.4%
Hangul 33
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 4
12.1%
일 4
12.1%
당 4
12.1%
거 4
12.1%
수 4
12.1%
번 3
9.1%
증 3
9.1%
인 3
9.1%
이 1
 
3.0%
후 1
 
3.0%
Other values (2) 2
6.1%
Common
ValueCountFrequency (%)
- 8
19.5%
0 8
19.5%
1 5
12.2%
3 4
9.8%
4
9.8%
6 3
 
7.3%
. 3
 
7.3%
5 2
 
4.9%
2 2
 
4.9%
9 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
55.4%
Hangul 33
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8
19.5%
0 8
19.5%
1 5
12.2%
3 4
9.8%
4
9.8%
6 3
 
7.3%
. 3
 
7.3%
5 2
 
4.9%
2 2
 
4.9%
9 2
 
4.9%
Hangul
ValueCountFrequency (%)
호 4
12.1%
일 4
12.1%
당 4
12.1%
거 4
12.1%
수 4
12.1%
번 3
9.1%
증 3
9.1%
인 3
9.1%
이 1
 
3.0%
후 1
 
3.0%
Other values (2) 2
6.1%

유통기한(일자)
Real number (ℝ)

MISSING 

Distinct430
Distinct (%)50.2%
Missing5233
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean20120917
Minimum20110119
Maximum20180927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:08.471477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110119
5-th percentile20110608
Q120111009
median20120526
Q320121111
95-th percentile20133007
Maximum20180927
Range70808
Interquartile range (IQR)10102

Descriptive statistics

Standard deviation9956.8569
Coefficient of variation (CV)0.00049485105
Kurtosis7.9955049
Mean20120917
Median Absolute Deviation (MAD)9311
Skewness2.102405
Sum1.7243626 × 1010
Variance99139000
MonotonicityNot monotonic
2024-05-11T01:07:08.964863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110707 27
 
0.4%
20110630 14
 
0.2%
20111202 12
 
0.2%
20110824 12
 
0.2%
20110829 12
 
0.2%
20110823 11
 
0.2%
20120529 10
 
0.2%
20110825 10
 
0.2%
20110531 10
 
0.2%
20110822 10
 
0.2%
Other values (420) 729
 
12.0%
(Missing) 5233
85.9%
ValueCountFrequency (%)
20110119 1
 
< 0.1%
20110121 1
 
< 0.1%
20110207 1
 
< 0.1%
20110208 1
 
< 0.1%
20110220 1
 
< 0.1%
20110310 1
 
< 0.1%
20110404 1
 
< 0.1%
20110427 1
 
< 0.1%
20110512 1
 
< 0.1%
20110513 7
0.1%
ValueCountFrequency (%)
20180927 1
< 0.1%
20180829 1
< 0.1%
20180821 1
< 0.1%
20171208 2
< 0.1%
20171203 1
< 0.1%
20161020 1
< 0.1%
20161013 1
< 0.1%
20160929 2
< 0.1%
20160914 1
< 0.1%
20160815 1
< 0.1%

유통기한(제조일기준)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)25.5%
Missing6039
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean3947117.5
Minimum1
Maximum20161122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:09.470116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q16
median6
Q3365
95-th percentile20125625
Maximum20161122
Range20161121
Interquartile range (IQR)359

Descriptive statistics

Standard deviation8071639.6
Coefficient of variation (CV)2.0449454
Kurtosis0.50773056
Mean3947117.5
Median Absolute Deviation (MAD)0
Skewness1.5777733
Sum2.0130299 × 108
Variance6.5151366 × 1013
MonotonicityNot monotonic
2024-05-11T01:07:10.004496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 26
 
0.4%
365 10
 
0.2%
12 3
 
< 0.1%
20161122 2
 
< 0.1%
20120925 2
 
< 0.1%
1 1
 
< 0.1%
20121017 1
 
< 0.1%
20121003 1
 
< 0.1%
20120919 1
 
< 0.1%
20121022 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 6039
99.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
6 26
0.4%
12 3
 
< 0.1%
60 1
 
< 0.1%
365 10
 
0.2%
20120807 1
 
< 0.1%
20120919 1
 
< 0.1%
20120925 2
 
< 0.1%
20121003 1
 
< 0.1%
20121017 1
 
< 0.1%
ValueCountFrequency (%)
20161122 2
 
< 0.1%
20130228 1
 
< 0.1%
20121022 1
 
< 0.1%
20121017 1
 
< 0.1%
20121003 1
 
< 0.1%
20120925 2
 
< 0.1%
20120919 1
 
< 0.1%
20120807 1
 
< 0.1%
365 10
0.2%
60 1
 
< 0.1%

보관상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
실온
3552 
<NA>
1982 
냉장
 
258
기타
 
189
냉동
 
109

Length

Max length4
Median length2
Mean length2.6509031
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실온 3552
58.3%
<NA> 1982
32.5%
냉장 258
 
4.2%
기타 189
 
3.1%
냉동 109
 
1.8%

Length

2024-05-11T01:07:10.473768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:10.806671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실온 3552
58.3%
na 1982
32.5%
냉장 258
 
4.2%
기타 189
 
3.1%
냉동 109
 
1.8%

바코드번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6089
Missing (%)> 99.9%
Memory size47.7 KiB
2024-05-11T01:07:11.118148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13
Distinct characters8
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowv021118013164
ValueCountFrequency (%)
v021118013164 1
100.0%
2024-05-11T01:07:11.790416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5
38.5%
0 2
 
15.4%
v 1
 
7.7%
2 1
 
7.7%
8 1
 
7.7%
3 1
 
7.7%
6 1
 
7.7%
4 1
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
92.3%
Lowercase Letter 1
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
41.7%
0 2
 
16.7%
2 1
 
8.3%
8 1
 
8.3%
3 1
 
8.3%
6 1
 
8.3%
4 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
v 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
92.3%
Latin 1
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
41.7%
0 2
 
16.7%
2 1
 
8.3%
8 1
 
8.3%
3 1
 
8.3%
6 1
 
8.3%
4 1
 
8.3%
Latin
ValueCountFrequency (%)
v 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5
38.5%
0 2
 
15.4%
v 1
 
7.7%
2 1
 
7.7%
8 1
 
7.7%
3 1
 
7.7%
6 1
 
7.7%
4 1
 
7.7%

어린이기호식품유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

검사기관명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
001
3738 
<NA>
2330 
서울시보건환경연구원
 
15
002
 
2
보건환경연구원
 
2
Other values (3)
 
3

Length

Max length11
Median length3
Mean length3.4034483
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
001 3738
61.4%
<NA> 2330
38.3%
서울시보건환경연구원 15
 
0.2%
002 2
 
< 0.1%
보건환경연구원 2
 
< 0.1%
003 1
 
< 0.1%
서울시 보건환경연구원 1
 
< 0.1%
국립보건환경연구원 1
 
< 0.1%

Length

2024-05-11T01:07:12.248679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:12.622046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
001 3738
61.4%
na 2330
38.3%
서울시보건환경연구원 15
 
0.2%
보건환경연구원 3
 
< 0.1%
002 2
 
< 0.1%
003 1
 
< 0.1%
서울시 1
 
< 0.1%
국립보건환경연구원 1
 
< 0.1%

(구)제조사명
Text

MISSING 

Distinct509
Distinct (%)27.7%
Missing4250
Missing (%)69.8%
Memory size47.7 KiB
2024-05-11T01:07:13.165760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length6.8548913
Min length2

Characters and Unicode

Total characters12613
Distinct characters369
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)15.9%

Sample

1st row고향산천쌈밥
2nd row옛친구
3rd row명가
4th row이조왕골감자탕
5th row전주물레방아
ValueCountFrequency (%)
대상(주 67
 
3.6%
씨제이제일제당(주 67
 
3.6%
주)오뚜기 63
 
3.3%
롯데칠성음료(주 57
 
3.0%
농심 52
 
2.8%
주)삼립식품 45
 
2.4%
주-오뚜기 44
 
2.3%
주)크라운제과 37
 
2.0%
롯데제과(주 36
 
1.9%
삼양식품(주 34
 
1.8%
Other values (510) 1381
73.3%
2024-05-11T01:07:13.911836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1464
 
11.6%
) 1143
 
9.1%
( 1140
 
9.0%
제 500
 
4.0%
식 414
 
3.3%
품 355
 
2.8%
- 265
 
2.1%
오 259
 
2.1%
기 213
 
1.7%
뚜 209
 
1.7%
Other values (359) 6651
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9804
77.7%
Close Punctuation 1143
 
9.1%
Open Punctuation 1140
 
9.0%
Dash Punctuation 265
 
2.1%
Uppercase Letter 115
 
0.9%
Lowercase Letter 54
 
0.4%
Space Separator 43
 
0.3%
Other Punctuation 34
 
0.3%
Decimal Number 13
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1464
 
14.9%
제 500
 
5.1%
식 414
 
4.2%
품 355
 
3.6%
오 259
 
2.6%
기 213
 
2.2%
뚜 209
 
2.1%
과 179
 
1.8%
상 157
 
1.6%
일 152
 
1.6%
Other values (326) 5902
60.2%
Uppercase Letter
ValueCountFrequency (%)
F 49
42.6%
B 24
20.9%
S 15
 
13.0%
N 10
 
8.7%
C 3
 
2.6%
M 2
 
1.7%
H 2
 
1.7%
T 2
 
1.7%
L 2
 
1.7%
A 2
 
1.7%
Other values (2) 4
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
m 16
29.6%
p 16
29.6%
a 16
29.6%
b 2
 
3.7%
f 2
 
3.7%
k 1
 
1.9%
s 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
3 5
38.5%
2 3
23.1%
4 2
 
15.4%
7 2
 
15.4%
1 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
; 16
47.1%
& 16
47.1%
？ 2
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 1143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 265
100.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9804
77.7%
Common 2640
 
20.9%
Latin 169
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1464
 
14.9%
제 500
 
5.1%
식 414
 
4.2%
품 355
 
3.6%
오 259
 
2.6%
기 213
 
2.2%
뚜 209
 
2.1%
과 179
 
1.8%
상 157
 
1.6%
일 152
 
1.6%
Other values (326) 5902
60.2%
Latin
ValueCountFrequency (%)
F 49
29.0%
B 24
14.2%
m 16
 
9.5%
p 16
 
9.5%
a 16
 
9.5%
S 15
 
8.9%
N 10
 
5.9%
C 3
 
1.8%
M 2
 
1.2%
H 2
 
1.2%
Other values (9) 16
 
9.5%
Common
ValueCountFrequency (%)
) 1143
43.3%
( 1140
43.2%
- 265
 
10.0%
43
 
1.6%
; 16
 
0.6%
& 16
 
0.6%
3 5
 
0.2%
2 3
 
0.1%
4 2
 
0.1%
7 2
 
0.1%
Other values (4) 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9804
77.7%
ASCII 2807
 
22.3%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1464
 
14.9%
제 500
 
5.1%
식 414
 
4.2%
품 355
 
3.6%
오 259
 
2.6%
기 213
 
2.2%
뚜 209
 
2.1%
과 179
 
1.8%
상 157
 
1.6%
일 152
 
1.6%
Other values (326) 5902
60.2%
ASCII
ValueCountFrequency (%)
) 1143
40.7%
( 1140
40.6%
- 265
 
9.4%
F 49
 
1.7%
43
 
1.5%
B 24
 
0.9%
m 16
 
0.6%
p 16
 
0.6%
; 16
 
0.6%
& 16
 
0.6%
Other values (22) 79
 
2.8%
None
ValueCountFrequency (%)
？ 2
100.0%

내외국산
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
국내
4556 
국외
1534 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 4556
74.8%
국외 1534
 
25.2%

Length

2024-05-11T01:07:14.193367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:14.426518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 4556
74.8%
국외 1534
 
25.2%

국가명
Categorical

IMBALANCE 

Distinct35
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
5765 
미국
 
78
중국
 
46
일본
 
26
이탈리아
 
23
Other values (30)
 
152

Length

Max length10
Median length4
Mean length3.9287356
Min length2

Unique

Unique6 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5765
94.7%
미국 78
 
1.3%
중국 46
 
0.8%
일본 26
 
0.4%
이탈리아 23
 
0.4%
베트남 14
 
0.2%
태국 14
 
0.2%
독일 11
 
0.2%
말레이지아 11
 
0.2%
캐나다 11
 
0.2%
Other values (25) 91
 
1.5%

Length

2024-05-11T01:07:14.810244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5765
94.6%
미국 78
 
1.3%
중국 48
 
0.8%
일본 26
 
0.4%
이탈리아 23
 
0.4%
베트남 14
 
0.2%
태국 14
 
0.2%
말레이지아 11
 
0.2%
캐나다 11
 
0.2%
독일 11
 
0.2%
Other values (27) 94
 
1.5%

검사구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
1
3640 
<NA>
1719 
2
731 

Length

Max length4
Median length1
Mean length1.846798
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3640
59.8%
<NA> 1719
28.2%
2 731
 
12.0%

Length

2024-05-11T01:07:15.304067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:15.581967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3640
59.8%
na 1719
28.2%
2 731
 
12.0%

검사의뢰일자
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)5.9%
Missing3525
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean20169406
Minimum20110112
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:15.818575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110112
5-th percentile20110817
Q120111117
median20180424
Q320201111
95-th percentile20230925
Maximum20240314
Range130202
Interquartile range (IQR)89994

Descriptive statistics

Standard deviation42539.528
Coefficient of variation (CV)0.0021091116
Kurtosis-1.2542195
Mean20169406
Median Absolute Deviation (MAD)30184
Skewness-0.26342522
Sum5.1734525 × 1010
Variance1.8096114 × 109
MonotonicityNot monotonic
2024-05-11T01:07:16.245051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110926 138
 
2.3%
20111012 136
 
2.2%
20111117 111
 
1.8%
20110919 105
 
1.7%
20180206 64
 
1.1%
20210907 63
 
1.0%
20110829 61
 
1.0%
20190319 55
 
0.9%
20201111 52
 
0.9%
20180619 46
 
0.8%
Other values (141) 1734
28.5%
(Missing) 3525
57.9%
ValueCountFrequency (%)
20110112 16
0.3%
20110209 3
 
< 0.1%
20110404 1
 
< 0.1%
20110511 1
 
< 0.1%
20110513 7
0.1%
20110516 7
0.1%
20110518 6
 
0.1%
20110531 10
0.2%
20110608 7
0.1%
20110628 5
 
0.1%
ValueCountFrequency (%)
20240314 4
 
0.1%
20240313 1
 
< 0.1%
20240305 40
0.7%
20240304 4
 
0.1%
20240223 1
 
< 0.1%
20240118 32
0.5%
20240115 2
 
< 0.1%
20231121 5
 
0.1%
20231116 20
0.3%
20231113 1
 
< 0.1%

결과회보일자
Real number (ℝ)

MISSING 

Distinct157
Distinct (%)7.5%
Missing4004
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean20166729
Minimum20110126
Maximum20220127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:16.694060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110126
5-th percentile20110816
Q120111027
median20180502
Q320200123
95-th percentile20211119
Maximum20220127
Range110001
Interquartile range (IQR)89096

Descriptive statistics

Standard deviation37524.671
Coefficient of variation (CV)0.0018607217
Kurtosis-1.22804
Mean20166729
Median Absolute Deviation (MAD)20622
Skewness-0.56150374
Sum4.2067797 × 1010
Variance1.4081009 × 109
MonotonicityNot monotonic
2024-05-11T01:07:17.200661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111018 138
 
2.3%
20111027 136
 
2.2%
20111004 105
 
1.7%
20180222 64
 
1.1%
20110914 60
 
1.0%
20201124 52
 
0.9%
20180612 45
 
0.7%
20190207 41
 
0.7%
20201230 40
 
0.7%
20170824 35
 
0.6%
Other values (147) 1370
 
22.5%
(Missing) 4004
65.7%
ValueCountFrequency (%)
20110126 16
0.3%
20110223 3
 
< 0.1%
20110418 1
 
< 0.1%
20110517 1
 
< 0.1%
20110520 7
0.1%
20110523 7
0.1%
20110524 6
 
0.1%
20110607 10
0.2%
20110614 7
0.1%
20110706 5
 
0.1%
ValueCountFrequency (%)
20220127 2
 
< 0.1%
20220125 9
 
0.1%
20220124 10
 
0.2%
20211224 20
0.3%
20211223 1
 
< 0.1%
20211217 2
 
< 0.1%
20211210 5
 
0.1%
20211202 31
0.5%
20211201 3
 
< 0.1%
20211122 12
 
0.2%

판정구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
3972 
1
2112 
2
 
6

Length

Max length4
Median length4
Mean length2.9566502
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3972
65.2%
1 2112
34.7%
2 6
 
0.1%

Length

2024-05-11T01:07:17.555249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:17.773034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3972
65.2%
1 2112
34.7%
2 6
 
0.1%

처리구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

수거검사구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

단속지역구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

수거장소구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

처리결과
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing6088
Missing (%)> 99.9%
Memory size47.7 KiB
2024-05-11T01:07:18.000782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10
Min length4

Characters and Unicode

Total characters20
Distinct characters17
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

Unique2 ?
Unique (%)100.0%

Sample

1st row과망간산칼륨 소비량 기준 초과
2nd row회수명령
ValueCountFrequency (%)
과망간산칼륨 1
20.0%
소비량 1
20.0%
기준 1
20.0%
초과 1
20.0%
회수명령 1
20.0%
2024-05-11T01:07:18.653735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
15.0%
과 2
 
10.0%
량 1
 
5.0%
명 1
 
5.0%
수 1
 
5.0%
회 1
 
5.0%
초 1
 
5.0%
준 1
 
5.0%
기 1
 
5.0%
비 1
 
5.0%
Other values (7) 7
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
85.0%
Space Separator 3
 
15.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 2
 
11.8%
량 1
 
5.9%
명 1
 
5.9%
수 1
 
5.9%
회 1
 
5.9%
초 1
 
5.9%
준 1
 
5.9%
기 1
 
5.9%
비 1
 
5.9%
망 1
 
5.9%
Other values (6) 6
35.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
85.0%
Common 3
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 2
 
11.8%
량 1
 
5.9%
명 1
 
5.9%
수 1
 
5.9%
회 1
 
5.9%
초 1
 
5.9%
준 1
 
5.9%
기 1
 
5.9%
비 1
 
5.9%
망 1
 
5.9%
Other values (6) 6
35.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
85.0%
ASCII 3
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
100.0%
Hangul
ValueCountFrequency (%)
과 2
 
11.8%
량 1
 
5.9%
명 1
 
5.9%
수 1
 
5.9%
회 1
 
5.9%
초 1
 
5.9%
준 1
 
5.9%
기 1
 
5.9%
비 1
 
5.9%
망 1
 
5.9%
Other values (6) 6
35.3%

수거품처리
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6089
Missing (%)> 99.9%
Memory size47.7 KiB
2024-05-11T01:07:18.904474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row폐기
ValueCountFrequency (%)
폐기 1
100.0%
2024-05-11T01:07:19.492599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 1
50.0%
기 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 1
50.0%
기 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 1
50.0%
기 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 1
50.0%
기 1
50.0%

교부번호
Real number (ℝ)

Distinct455
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0016032 × 1010
Minimum1.9680056 × 1010
Maximum2.0230076 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:19.958862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9680056 × 1010
5-th percentile1.9930056 × 1010
Q11.9980056 × 1010
median2.0020056 × 1010
Q32.0050056 × 1010
95-th percentile2.0140056 × 1010
Maximum2.0230076 × 1010
Range5.5001976 × 108
Interquartile range (IQR)70000000

Descriptive statistics

Standard deviation63584777
Coefficient of variation (CV)0.0031766925
Kurtosis0.69485143
Mean2.0016032 × 1010
Median Absolute Deviation (MAD)40000232
Skewness0.37798874
Sum1.2189763 × 1014
Variance4.0430239 × 1015
MonotonicityNot monotonic
2024-05-11T01:07:20.390181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19980056139 1292
21.2%
20030056413 1060
17.4%
19930056407 815
13.4%
20070056023 433
 
7.1%
20020056371 383
 
6.3%
20000056325 207
 
3.4%
20110056295 110
 
1.8%
20040056211 105
 
1.7%
20050056139 78
 
1.3%
20060056084 61
 
1.0%
Other values (445) 1546
25.4%
ValueCountFrequency (%)
19680056001 1
 
< 0.1%
19710056001 1
 
< 0.1%
19760056006 3
 
< 0.1%
19790056004 1
 
< 0.1%
19800056006 4
 
0.1%
19820056024 4
 
0.1%
19820056029 10
0.2%
19840056058 1
 
< 0.1%
19870056042 11
0.2%
19880056004 1
 
< 0.1%
ValueCountFrequency (%)
20230075757 1
 
< 0.1%
20230075680 1
 
< 0.1%
20230075404 1
 
< 0.1%
20230075178 3
< 0.1%
20230075114 6
0.1%
20220067788 1
 
< 0.1%
20220067649 2
 
< 0.1%
20220067042 1
 
< 0.1%
20210056693 1
 
< 0.1%
20210056567 1
 
< 0.1%

폐기일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
6089 
20110304
 
1

Length

Max length8
Median length4
Mean length4.0006568
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> 6089
> 99.9%
20110304 1
 
< 0.1%

Length

2024-05-11T01:07:20.809247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:21.154220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6089
> 99.9%
20110304 1
 
< 0.1%

폐기량(kg)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
6089 
52.5
 
1

Length

Max length4
Median length4
Mean length4
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> 6089
> 99.9%
52.5 1
 
< 0.1%

Length

2024-05-11T01:07:21.560089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:21.762450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6089
> 99.9%
52.5 1
 
< 0.1%

폐기금액(원)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

폐기장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

폐기방법
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6089
Missing (%)> 99.9%
Memory size47.7 KiB
2024-05-11T01:07:21.963498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13
Distinct characters10
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 row폐기물관리법에 의거 폐기
ValueCountFrequency (%)
폐기물관리법에 1
33.3%
의거 1
33.3%
폐기 1
33.3%
2024-05-11T01:07:22.459487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 2
15.4%
기 2
15.4%
2
15.4%
물 1
7.7%
관 1
7.7%
리 1
7.7%
법 1
7.7%
에 1
7.7%
의 1
7.7%
거 1
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
84.6%
Space Separator 2
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 2
18.2%
기 2
18.2%
물 1
9.1%
관 1
9.1%
리 1
9.1%
법 1
9.1%
에 1
9.1%
의 1
9.1%
거 1
9.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
84.6%
Common 2
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 2
18.2%
기 2
18.2%
물 1
9.1%
관 1
9.1%
리 1
9.1%
법 1
9.1%
에 1
9.1%
의 1
9.1%
거 1
9.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
84.6%
ASCII 2
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 2
18.2%
기 2
18.2%
물 1
9.1%
관 1
9.1%
리 1
9.1%
법 1
9.1%
에 1
9.1%
의 1
9.1%
거 1
9.1%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지(도로명)
Text

MISSING 

Distinct246
Distinct (%)6.6%
Missing2389
Missing (%)39.2%
Memory size47.7 KiB
2024-05-11T01:07:22.935359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length53
Mean length26.461767
Min length22

Characters and Unicode

Total characters97935
Distinct characters161
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

Unique108 ?
Unique (%)2.9%

Sample

1st row서울특별시 도봉구 도봉로110나길 31, (창동,(지상2층))
2nd row서울특별시 도봉구 도봉로 915, 1층 (도봉동)
3rd row서울특별시 도봉구 도봉로 919, (도봉동, 지상1층일부, 2층, 3층전체)
4th row서울특별시 도봉구 도봉로 919, (도봉동, 지상1층일부, 2층, 3층전체)
5th row서울특별시 도봉구 도봉로 533, 1층 (쌍문동)
ValueCountFrequency (%)
서울특별시 3701
18.9%
도봉구 3701
18.9%
창동 1839
 
9.4%
방학동 1265
 
6.5%
도봉로 892
 
4.6%
마들로11길 852
 
4.3%
20 844
 
4.3%
678 774
 
4.0%
노해로65길 504
 
2.6%
4 504
 
2.6%
Other values (361) 4713
24.1%
2024-05-11T01:07:24.121998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15888
 
16.2%
도 5463
 
5.6%
봉 5371
 
5.5%
, 4384
 
4.5%
동 3749
 
3.8%
) 3731
 
3.8%
( 3731
 
3.8%
시 3723
 
3.8%
구 3714
 
3.8%
서 3706
 
3.8%
Other values (151) 44475
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55320
56.5%
Space Separator 15888
 
16.2%
Decimal Number 14653
 
15.0%
Other Punctuation 4385
 
4.5%
Close Punctuation 3731
 
3.8%
Open Punctuation 3731
 
3.8%
Uppercase Letter 113
 
0.1%
Math Symbol 82
 
0.1%
Dash Punctuation 31
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 5463
 
9.9%
봉 5371
 
9.7%
동 3749
 
6.8%
시 3723
 
6.7%
구 3714
 
6.7%
서 3706
 
6.7%
특 3701
 
6.7%
별 3701
 
6.7%
울 3701
 
6.7%
로 3691
 
6.7%
Other values (125) 14800
26.8%
Decimal Number
ValueCountFrequency (%)
1 3603
24.6%
6 2370
16.2%
0 1617
11.0%
2 1359
 
9.3%
5 1322
 
9.0%
4 1258
 
8.6%
8 1072
 
7.3%
7 980
 
6.7%
3 828
 
5.7%
9 244
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
B 62
54.9%
G 11
 
9.7%
L 11
 
9.7%
A 10
 
8.8%
S 7
 
6.2%
O 5
 
4.4%
Y 5
 
4.4%
E 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 4384
> 99.9%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
15888
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3731
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3731
100.0%
Math Symbol
ValueCountFrequency (%)
~ 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55321
56.5%
Common 42501
43.4%
Latin 113
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 5463
 
9.9%
봉 5371
 
9.7%
동 3749
 
6.8%
시 3723
 
6.7%
구 3714
 
6.7%
서 3706
 
6.7%
특 3701
 
6.7%
별 3701
 
6.7%
울 3701
 
6.7%
로 3691
 
6.7%
Other values (126) 14801
26.8%
Common
ValueCountFrequency (%)
15888
37.4%
, 4384
 
10.3%
) 3731
 
8.8%
( 3731
 
8.8%
1 3603
 
8.5%
6 2370
 
5.6%
0 1617
 
3.8%
2 1359
 
3.2%
5 1322
 
3.1%
4 1258
 
3.0%
Other values (7) 3238
 
7.6%
Latin
ValueCountFrequency (%)
B 62
54.9%
G 11
 
9.7%
L 11
 
9.7%
A 10
 
8.8%
S 7
 
6.2%
O 5
 
4.4%
Y 5
 
4.4%
E 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55320
56.5%
ASCII 42614
43.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15888
37.3%
, 4384
 
10.3%
) 3731
 
8.8%
( 3731
 
8.8%
1 3603
 
8.5%
6 2370
 
5.6%
0 1617
 
3.8%
2 1359
 
3.2%
5 1322
 
3.1%
4 1258
 
3.0%
Other values (15) 3351
 
7.9%
Hangul
ValueCountFrequency (%)
도 5463
 
9.9%
봉 5371
 
9.7%
동 3749
 
6.8%
시 3723
 
6.7%
구 3714
 
6.7%
서 3706
 
6.7%
특 3701
 
6.7%
별 3701
 
6.7%
울 3701
 
6.7%
로 3691
 
6.7%
Other values (125) 14800
26.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지(지번)
Text

MISSING 

Distinct442
Distinct (%)7.8%
Missing451
Missing (%)7.4%
Memory size47.7 KiB
2024-05-11T01:07:24.650263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length47
Mean length25.907785
Min length20

Characters and Unicode

Total characters146094
Distinct characters184
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

Unique236 ?
Unique (%)4.2%

Sample

1st row서울특별시 도봉구 도봉동 603번지 23호
2nd row서울특별시 도봉구 창동 659번지 32호 (지상2층)
3rd row서울특별시 도봉구 도봉동 559번지 23호
4th row서울특별시 도봉구 방학동 653번지 17호
5th row서울특별시 도봉구 도봉동 554번지 0호 지하1층
ValueCountFrequency (%)
서울특별시 5639
19.1%
도봉구 5639
19.1%
창동 2896
 
9.8%
방학동 1863
 
6.3%
10호 1147
 
3.9%
1번지 1143
 
3.9%
7호 989
 
3.3%
707번지 961
 
3.2%
26호 880
 
3.0%
135번지 844
 
2.9%
Other values (477) 7575
25.6%
2024-05-11T01:07:25.593525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39440
27.0%
도 6179
 
4.2%
봉 6177
 
4.2%
지 6079
 
4.2%
동 5692
 
3.9%
구 5651
 
3.9%
서 5644
 
3.9%
시 5644
 
3.9%
별 5639
 
3.9%
번 5639
 
3.9%
Other values (174) 54310
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81476
55.8%
Space Separator 39440
27.0%
Decimal Number 24414
 
16.7%
Other Punctuation 209
 
0.1%
Close Punctuation 138
 
0.1%
Open Punctuation 138
 
0.1%
Uppercase Letter 124
 
0.1%
Dash Punctuation 80
 
0.1%
Math Symbol 74
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6179
 
7.6%
봉 6177
 
7.6%
지 6079
 
7.5%
동 5692
 
7.0%
구 5651
 
6.9%
서 5644
 
6.9%
시 5644
 
6.9%
별 5639
 
6.9%
번 5639
 
6.9%
특 5639
 
6.9%
Other values (143) 23493
28.8%
Uppercase Letter
ValueCountFrequency (%)
B 69
55.6%
L 11
 
8.9%
A 11
 
8.9%
G 11
 
8.9%
S 7
 
5.6%
O 5
 
4.0%
Y 5
 
4.0%
E 2
 
1.6%
P 1
 
0.8%
T 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 5541
22.7%
7 4529
18.6%
0 3451
14.1%
6 2934
12.0%
2 2867
11.7%
5 1492
 
6.1%
3 1443
 
5.9%
8 794
 
3.3%
4 692
 
2.8%
9 671
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 205
98.1%
@ 2
 
1.0%
/ 1
 
0.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
39440
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Math Symbol
ValueCountFrequency (%)
~ 74
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81477
55.8%
Common 64493
44.1%
Latin 124
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6179
 
7.6%
봉 6177
 
7.6%
지 6079
 
7.5%
동 5692
 
7.0%
구 5651
 
6.9%
서 5644
 
6.9%
시 5644
 
6.9%
별 5639
 
6.9%
번 5639
 
6.9%
특 5639
 
6.9%
Other values (144) 23494
28.8%
Common
ValueCountFrequency (%)
39440
61.2%
1 5541
 
8.6%
7 4529
 
7.0%
0 3451
 
5.4%
6 2934
 
4.5%
2 2867
 
4.4%
5 1492
 
2.3%
3 1443
 
2.2%
8 794
 
1.2%
4 692
 
1.1%
Other values (9) 1310
 
2.0%
Latin
ValueCountFrequency (%)
B 69
55.6%
L 11
 
8.9%
A 11
 
8.9%
G 11
 
8.9%
S 7
 
5.6%
O 5
 
4.0%
Y 5
 
4.0%
E 2
 
1.6%
P 1
 
0.8%
T 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81476
55.8%
ASCII 64617
44.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39440
61.0%
1 5541
 
8.6%
7 4529
 
7.0%
0 3451
 
5.3%
6 2934
 
4.5%
2 2867
 
4.4%
5 1492
 
2.3%
3 1443
 
2.2%
8 794
 
1.2%
4 692
 
1.1%
Other values (20) 1434
 
2.2%
Hangul
ValueCountFrequency (%)
도 6179
 
7.6%
봉 6177
 
7.6%
지 6079
 
7.5%
동 5692
 
7.0%
구 5651
 
6.9%
서 5644
 
6.9%
시 5644
 
6.9%
별 5639
 
6.9%
번 5639
 
6.9%
특 5639
 
6.9%
Other values (143) 23493
28.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업소전화번호
Text

MISSING 

Distinct381
Distinct (%)6.6%
Missing278
Missing (%)4.6%
Memory size47.7 KiB
2024-05-11T01:07:26.222553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.334997
Min length2

Characters and Unicode

Total characters60067
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)3.4%

Sample

1st row0234916800
2nd row02 9961006
3rd row02 9551177
4th row0234939401
5th row02 954 1987
ValueCountFrequency (%)
02 3762
38.1%
9122080 982
 
9.9%
9011234 791
 
8.0%
0234996234 628
 
6.4%
9030900 433
 
4.4%
0234996264 343
 
3.5%
0222892530 340
 
3.4%
9002101 207
 
2.1%
0234996055 174
 
1.8%
0234996000 150
 
1.5%
Other values (398) 2076
21.0%
2024-05-11T01:07:27.154120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13597
22.6%
2 12323
20.5%
9 8361
13.9%
5646
9.4%
3 4337
 
7.2%
4 4060
 
6.8%
1 3774
 
6.3%
8 2426
 
4.0%
5 2390
 
4.0%
6 2345
 
3.9%
Other values (2) 808
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54420
90.6%
Space Separator 5646
 
9.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13597
25.0%
2 12323
22.6%
9 8361
15.4%
3 4337
 
8.0%
4 4060
 
7.5%
1 3774
 
6.9%
8 2426
 
4.5%
5 2390
 
4.4%
6 2345
 
4.3%
7 807
 
1.5%
Space Separator
ValueCountFrequency (%)
5646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60067
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13597
22.6%
2 12323
20.5%
9 8361
13.9%
5646
9.4%
3 4337
 
7.2%
4 4060
 
6.8%
1 3774
 
6.3%
8 2426
 
4.0%
5 2390
 
4.0%
6 2345
 
3.9%
Other values (2) 808
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13597
22.6%
2 12323
20.5%
9 8361
13.9%
5646
9.4%
3 4337
 
7.2%
4 4060
 
6.8%
1 3774
 
6.3%
8 2426
 
4.0%
5 2390
 
4.0%
6 2345
 
3.9%
Other values (2) 808
 
1.3%

점검목적
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
<NA>
2058 
위생점검(전체)
1933 
수거
1608 
위생점검(부분)
487 
시설점검
 
4

Length

Max length8
Median length4
Mean length5.0614122
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2058
33.8%
위생점검(전체) 1933
31.7%
수거 1608
26.4%
위생점검(부분) 487
 
8.0%
시설점검 4
 
0.1%

Length

2024-05-11T01:07:27.497086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:27.858222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2058
33.8%
위생점검(전체 1933
31.7%
수거 1608
26.4%
위생점검(부분 487
 
8.0%
시설점검 4
 
0.1%

점검일자
Real number (ℝ)

MISSING 

Distinct309
Distinct (%)5.5%
Missing429
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean20144152
Minimum20020802
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:28.245419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020802
5-th percentile20091125
Q120110919
median20130812
Q320180322
95-th percentile20211208
Maximum20240314
Range219512
Interquartile range (IQR)69403

Descriptive statistics

Standard deviation41897.892
Coefficient of variation (CV)0.0020799034
Kurtosis-0.90162517
Mean20144152
Median Absolute Deviation (MAD)30104
Skewness0.4806617
Sum1.1403605 × 1011
Variance1.7554333 × 109
MonotonicityNot monotonic
2024-05-11T01:07:28.663386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111012 138
 
2.3%
20110926 138
 
2.3%
20111117 111
 
1.8%
20170103 108
 
1.8%
20101108 107
 
1.8%
20110919 105
 
1.7%
20091125 105
 
1.7%
20101126 100
 
1.6%
20101129 100
 
1.6%
20100708 93
 
1.5%
Other values (299) 4556
74.8%
(Missing) 429
 
7.0%
ValueCountFrequency (%)
20020802 1
 
< 0.1%
20020803 1
 
< 0.1%
20060704 16
0.3%
20070308 14
0.2%
20071113 1
 
< 0.1%
20090109 13
0.2%
20090216 21
0.3%
20090422 7
 
0.1%
20090515 3
 
< 0.1%
20090521 4
 
0.1%
ValueCountFrequency (%)
20240314 4
 
0.1%
20240313 1
 
< 0.1%
20240305 1
 
< 0.1%
20240304 43
0.7%
20240226 1
 
< 0.1%
20240117 32
0.5%
20240115 2
 
< 0.1%
20231121 5
 
0.1%
20231116 20
0.3%
20231107 1
 
< 0.1%

점검구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
기타
3010 
<NA>
2046 
수시
507 
합동
 
291
일제
 
236

Length

Max length4
Median length2
Mean length2.6719212
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 3010
49.4%
<NA> 2046
33.6%
수시 507
 
8.3%
합동 291
 
4.8%
일제 236
 
3.9%

Length

2024-05-11T01:07:28.932416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:29.173854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 3010
49.4%
na 2046
33.6%
수시 507
 
8.3%
합동 291
 
4.8%
일제 236
 
3.9%

점검내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6090
Missing (%)100.0%
Memory size53.7 KiB

점검결과코드
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
1
4015 
<NA>
2046 
2
 
29

Length

Max length4
Median length1
Mean length2.0078818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4015
65.9%
<NA> 2046
33.6%
2 29
 
0.5%

Length

2024-05-11T01:07:29.447711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:07:29.764823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4015
65.9%
na 2046
33.6%
2 29
 
0.5%

(구)제조유통기한
Real number (ℝ)

MISSING 

Distinct430
Distinct (%)50.2%
Missing5233
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean20120917
Minimum20110119
Maximum20180927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.7 KiB
2024-05-11T01:07:30.121203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110119
5-th percentile20110608
Q120111009
median20120526
Q320121111
95-th percentile20133007
Maximum20180927
Range70808
Interquartile range (IQR)10102

Descriptive statistics

Standard deviation9956.8569
Coefficient of variation (CV)0.00049485105
Kurtosis7.9955049
Mean20120917
Median Absolute Deviation (MAD)9311
Skewness2.102405
Sum1.7243626 × 1010
Variance99139000
MonotonicityNot monotonic
2024-05-11T01:07:30.507484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110707 27
 
0.4%
20110630 14
 
0.2%
20111202 12
 
0.2%
20110824 12
 
0.2%
20110829 12
 
0.2%
20110823 11
 
0.2%
20120529 10
 
0.2%
20110825 10
 
0.2%
20110531 10
 
0.2%
20110822 10
 
0.2%
Other values (420) 729
 
12.0%
(Missing) 5233
85.9%
ValueCountFrequency (%)
20110119 1
 
< 0.1%
20110121 1
 
< 0.1%
20110207 1
 
< 0.1%
20110208 1
 
< 0.1%
20110220 1
 
< 0.1%
20110310 1
 
< 0.1%
20110404 1
 
< 0.1%
20110427 1
 
< 0.1%
20110512 1
 
< 0.1%
20110513 7
0.1%
ValueCountFrequency (%)
20180927 1
< 0.1%
20180829 1
< 0.1%
20180821 1
< 0.1%
20171208 2
< 0.1%
20171203 1
< 0.1%
20161020 1
< 0.1%
20161013 1
< 0.1%
20160929 2
< 0.1%
20160914 1
< 0.1%
20160815 1
< 0.1%

(구)제조회사주소
Text

MISSING 

Distinct820
Distinct (%)48.8%
Missing4411
Missing (%)72.4%
Memory size47.7 KiB
2024-05-11T01:07:30.989435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length16.617034
Min length2

Characters and Unicode

Total characters27900
Distinct characters301
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

Unique538 ?
Unique (%)32.0%

Sample

1st row창동74-12
2nd row창동750-2
3rd row창동 750
4th row창동 750
5th row창동750
ValueCountFrequency (%)
경기도 300
 
5.9%
충북 150
 
3.0%
음성군 93
 
1.8%
충남 92
 
1.8%
대소면 81
 
1.6%
경남 62
 
1.2%
서울 53
 
1.0%
서울시 53
 
1.0%
전북 48
 
0.9%
대덕구 42
 
0.8%
Other values (1285) 4079
80.7%
2024-05-11T01:07:31.911704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3376
 
12.1%
1 1419
 
5.1%
시 1106
 
4.0%
- 879
 
3.2%
2 838
 
3.0%
동 793
 
2.8%
구 705
 
2.5%
경 634
 
2.3%
3 616
 
2.2%
대 573
 
2.1%
Other values (291) 16961
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17683
63.4%
Decimal Number 5878
 
21.1%
Space Separator 3376
 
12.1%
Dash Punctuation 879
 
3.2%
Close Punctuation 31
 
0.1%
Open Punctuation 31
 
0.1%
Other Punctuation 9
 
< 0.1%
Uppercase Letter 8
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1106
 
6.3%
동 793
 
4.5%
구 705
 
4.0%
경 634
 
3.6%
대 573
 
3.2%
도 564
 
3.2%
리 548
 
3.1%
기 534
 
3.0%
면 483
 
2.7%
남 454
 
2.6%
Other values (266) 11289
63.8%
Decimal Number
ValueCountFrequency (%)
1 1419
24.1%
2 838
14.3%
3 616
10.5%
5 533
 
9.1%
0 508
 
8.6%
6 504
 
8.6%
4 453
 
7.7%
7 453
 
7.7%
8 291
 
5.0%
9 263
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
T 3
37.5%
A 2
25.0%
B 1
 
12.5%
D 1
 
12.5%
F 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
/ 1
 
11.1%
. 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
a 3
75.0%
t 1
 
25.0%
Space Separator
ValueCountFrequency (%)
3376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 879
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17683
63.4%
Common 10205
36.6%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1106
 
6.3%
동 793
 
4.5%
구 705
 
4.0%
경 634
 
3.6%
대 573
 
3.2%
도 564
 
3.2%
리 548
 
3.1%
기 534
 
3.0%
면 483
 
2.7%
남 454
 
2.6%
Other values (266) 11289
63.8%
Common
ValueCountFrequency (%)
3376
33.1%
1 1419
13.9%
- 879
 
8.6%
2 838
 
8.2%
3 616
 
6.0%
5 533
 
5.2%
0 508
 
5.0%
6 504
 
4.9%
4 453
 
4.4%
7 453
 
4.4%
Other values (8) 626
 
6.1%
Latin
ValueCountFrequency (%)
a 3
25.0%
T 3
25.0%
A 2
16.7%
B 1
 
8.3%
t 1
 
8.3%
D 1
 
8.3%
F 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17681
63.4%
ASCII 10217
36.6%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3376
33.0%
1 1419
13.9%
- 879
 
8.6%
2 838
 
8.2%
3 616
 
6.0%
5 533
 
5.2%
0 508
 
5.0%
6 504
 
4.9%
4 453
 
4.4%
7 453
 
4.4%
Other values (15) 638
 
6.2%
Hangul
ValueCountFrequency (%)
시 1106
 
6.3%
동 793
 
4.5%
구 705
 
4.0%
경 634
 
3.6%
대 573
 
3.2%
도 564
 
3.2%
리 548
 
3.1%
기 534
 
3.0%
면 483
 
2.7%
남 454
 
2.6%
Other values (264) 11287
63.8%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㄹ 1
50.0%

부적합항목
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6089
Missing (%)> 99.9%
Memory size47.7 KiB
2024-05-11T01:07:32.197086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row대장균
ValueCountFrequency (%)
대장균 1
100.0%
2024-05-11T01:07:32.839882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 1
33.3%
장 1
33.3%
균 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1
33.3%
장 1
33.3%
균 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1
33.3%
장 1
33.3%
균 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 1
33.3%
장 1
33.3%
균 1
33.3%

기준치부적합내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6089
Missing (%)> 99.9%
Memory size47.7 KiB
2024-05-11T01:07:33.124567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters8
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row양성(기준:음성)
ValueCountFrequency (%)
양성(기준:음성 1
100.0%
2024-05-11T01:07:33.607789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
성 2
22.2%
양 1
11.1%
( 1
11.1%
기 1
11.1%
준 1
11.1%
: 1
11.1%
음 1
11.1%
) 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
66.7%
Open Punctuation 1
 
11.1%
Other Punctuation 1
 
11.1%
Close Punctuation 1
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 2
33.3%
양 1
16.7%
기 1
16.7%
준 1
16.7%
음 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
66.7%
Common 3
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 2
33.3%
양 1
16.7%
기 1
16.7%
준 1
16.7%
음 1
16.7%
Common
ValueCountFrequency (%)
( 1
33.3%
: 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
66.7%
ASCII 3
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
성 2
33.3%
양 1
16.7%
기 1
16.7%
준 1
16.7%
음 1
16.7%
ASCII
ValueCountFrequency (%)
( 1
33.3%
: 1
33.3%
) 1
33.3%

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
03090000101일반음식점7<NA>음식점 쇠고기 원산지표시 특별 지도점검계획<NA>110-05-27검사용홍능갈비121000000식육류중육류소고기한우<NA><NA><NA>201205311.0100g<NA>20120531<NA><NA><NA>냉동<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>19710056001<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 603번지 23호0234916800위생점검(부분)20120531수시<NA>1<NA><NA><NA><NA>
13090000101일반음식점<NA><NA><NA><NA>110-06-49검사용함흥코다리냉면<NA>조리식품 등물냉면<NA><NA><NA>20170626<NA><NA><NA>600g20170626<NA><NA><NA>기타<NA><NA>001<NA>국내<NA>120170626201707101<NA><NA><NA><NA><NA><NA>19790056004<NA><NA><NA><NA><NA>서울특별시 도봉구 도봉로110나길 31, (창동,(지상2층))서울특별시 도봉구 창동 659번지 32호 (지상2층)02 9961006위생점검(전체)20170626합동<NA>1<NA><NA><NA><NA>
23090000101일반음식점999<NA>자체 음식점 원산지 지도점검<NA>110-7-23검사용도봉산 갈비B01000000<NA>소고기한우(등심)<NA><NA><NA>201507161.0100g<NA>20150716<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>19840056058<NA><NA><NA><NA><NA>서울특별시 도봉구 도봉로 915, 1층 (도봉동)서울특별시 도봉구 도봉동 559번지 23호02 9551177수거20150716기타<NA>1<NA><NA><NA><NA>
33090000101일반음식점<NA><NA><NA><NA><NA><NA>자연산회집<NA><NA>수족관물<NA><NA><NA>200607201.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>서울시보건환경연구원<NA>국외<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>19880056072<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 653번지 17호0234939401위생점검(전체)20070308합동<NA>1<NA><NA><NA><NA>
43090000101일반음식점<NA><NA><NA><NA>110-5-24<NA>고향산천쌈밥<NA><NA>커피커피<NA><NA>20110531300.0ml<NA><NA><NA><NA>20110531<NA><NA><NA><NA>001고향산천쌈밥국내<NA>220110531201106071<NA><NA><NA><NA><NA><NA>19890056158<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 554번지 0호 지하1층02 954 1987위생점검(부분)20110531일제<NA>120110531<NA><NA><NA>
53090000101일반음식점999<NA>자체 음식점 원산지표시 지도점검<NA>110-11-4검사용도봉산박대감121000000식육류중육류소고기쇠고기(등심)<NA><NA><NA>201311071.0100g<NA>20131107<NA><NA><NA>냉동<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19890056109<NA><NA><NA><NA><NA>서울특별시 도봉구 도봉로 919, (도봉동, 지상1층일부, 2층, 3층전체)서울특별시 도봉구 도봉동 559번지 27호 지상1층일부, 2층, 3층전체02 9558668수거20131107기타<NA>1<NA><NA><NA><NA>
63090000101일반음식점999<NA>자체 음식점 원산지표시 지도점검<NA>110-11-5검사용도봉산박대감121000000식육류중육류소고기쇠고기(치맛살)<NA><NA><NA>201311071.0100g<NA>20131107<NA><NA><NA>냉동<NA><NA><NA><NA>국내<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19890056109<NA><NA><NA><NA><NA>서울특별시 도봉구 도봉로 919, (도봉동, 지상1층일부, 2층, 3층전체)서울특별시 도봉구 도봉동 559번지 27호 지상1층일부, 2층, 3층전체02 9558668수거20131107기타<NA>1<NA><NA><NA><NA>
73090000101일반음식점<NA><NA><NA><NA><NA><NA>창동갈비<NA><NA>북경동치미육수<NA><NA><NA>201006222.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19890056220<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 552번지 21호02 905 9813수거20100622기타<NA>1<NA><NA><NA><NA>
83090000101일반음식점999<NA>자체 음식점 원산지 지도점검<NA>110-7-7검사용채선당B01000000<NA>소고기한우(목심)<NA><NA><NA>201507141.0100g<NA>20150714<NA><NA><NA>냉장<NA><NA><NA><NA>국내<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>19900056170<NA><NA><NA><NA><NA>서울특별시 도봉구 도봉로 533, 1층 (쌍문동)서울특별시 도봉구 쌍문동 701번지 1층02900 4774수거20150716기타<NA>1<NA><NA><NA><NA>
93090000101일반음식점999<NA>2017 식품접객업소 조리식품 수거<NA>110-05-06검사용채선당G0100000100000조리식품 등조리식품 등국물떡볶이<NA><NA><NA>20170531<NA><NA><NA>600g20170531<NA><NA><NA>기타<NA><NA>001<NA>국내<NA>120170531201706071<NA><NA><NA><NA><NA><NA>19900056170<NA><NA><NA><NA><NA>서울특별시 도봉구 도봉로 533, 1층 (쌍문동)서울특별시 도봉구 쌍문동 701번지 1층02900 4774수거20170531합동<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
60803090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점802000000빵또는떡류빵류상큼한 롤케? 사과맛<NA><NA><NA>200909173.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60813090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자뽀또치즈<NA><NA><NA>200909173.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60823090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자오리온 프리모<NA><NA><NA>200909173.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60833090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자쫄병바베큐<NA><NA><NA>200909176.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60843090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자미니꽈배기<NA><NA><NA>200909176.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60853090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자닭다리 핫숯불바베큐<NA><NA><NA>200909173.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60863090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자맛짱<NA><NA><NA>200909176.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60873090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자오리온 베베<NA><NA><NA>200909173.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60883090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자우리밀 곰돌이<NA><NA><NA>200909173.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA><NA>
60893090000134건강기능식품일반판매업<NA><NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점805000000설탕기타설탕흑설탕<NA><NA><NA>200909173.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<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)보관상태코드바코드번호검사기관명(구)제조사명내외국산국가명검사구분검사의뢰일자결과회보일자판정구분처리결과수거품처리교부번호폐기일자폐기량(kg)폐기방법소재지(도로명)소재지(지번)업소전화번호점검목적점검일자점검구분점검결과코드(구)제조유통기한(구)제조회사주소부적합항목기준치부적합내용# duplicates
03090000101일반음식점<NA><NA><NA><NA><NA>밀향기국시전문점<NA><NA>수저통<NA><NA><NA>201004281.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>20070056507<NA><NA><NA><NA>서울특별시 도봉구 창동 8번지 1호 하나빌딩 107호02 908 7789위생점검(부분)20100428수시1<NA><NA><NA><NA>7
13090000114기타식품판매업<NA><NA>2018년 다소비유통식품 수거110-4-27검사용농협유통창동농산물종합유통센타C0129180200000즉석조리식품즉석조리식품햇반 컵반 부대찌개국밥<NA><NA><NA>201804233.0261g<NA><NA><NA><NA><NA>실온<NA>001<NA>국내<NA>120180424201805081<NA><NA>19980056139<NA><NA><NA>서울특별시 도봉구 마들로11길 20, (창동)서울특별시 도봉구 창동 1번지 10호0234996234<NA>20180423<NA><NA><NA><NA><NA><NA>2
23090000114기타식품판매업<NA><NA><NA><NA><NA>(주)신세계이마트829000000기타식품류시리얼류아몬드 후레이크<NA><NA><NA>201011261.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>19930056407<NA><NA><NA><NA>서울특별시 도봉구 창동 135번지 26호02 9011054수거20101126기타1<NA><NA><NA><NA>2
33090000114기타식품판매업<NA><NA><NA><NA><NA>농협유통창동농산물종합유통센타801000000과자류과자종합제리<NA><NA><NA>200908043.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>19980056139<NA><NA><NA><NA>서울특별시 도봉구 창동 1번지 10호0234996055<NA>20090804<NA><NA><NA><NA><NA><NA>2
43090000114기타식품판매업<NA><NA><NA><NA><NA>농협유통창동농산물종합유통센타801000000과자류과자하늘가찹쌀약과<NA><NA><NA>200908046.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>19980056139<NA><NA><NA><NA>서울특별시 도봉구 창동 1번지 10호0234996055<NA>20090804<NA><NA><NA><NA><NA><NA>2
53090000114기타식품판매업<NA><NA><NA><NA><NA>농협유통창동농산물종합유통센타802000000빵또는떡류빵류만쥬파티<NA><NA><NA>200908043.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>19980056139<NA><NA><NA><NA>서울특별시 도봉구 창동 1번지 10호0234996055<NA>20090804<NA><NA><NA><NA><NA><NA>2
63090000114기타식품판매업<NA><NA><NA><NA><NA>농협유통창동농산물종합유통센타821000000조미식품고춧가루음성청결고춧가루<NA><NA><NA>200908041.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>19980056139<NA><NA><NA><NA>서울특별시 도봉구 창동 1번지 10호0234996055<NA>20090804<NA><NA><NA><NA><NA><NA>2
73090000120위탁급식영업<NA><NA><NA><NA><NA>(주)정오아카데미 선덕고등학교<NA><NA>배추김치<NA><NA><NA>201004051.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>20100056070<NA><NA><NA><NA>서울특별시 도봉구 쌍문동 263번지 선덕고등학교<NA>위생점검(부분)20100406수시1<NA><NA><NA><NA>2
83090000120위탁급식영업<NA><NA><NA><NA><NA>(주)정오아카데미 선덕고등학교<NA><NA>정수기물<NA><NA><NA>201004062.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>20100056070<NA><NA><NA><NA>서울특별시 도봉구 쌍문동 263번지 선덕고등학교<NA>위생점검(부분)20100406수시1<NA><NA><NA><NA>2
93090000134건강기능식품일반판매업<NA><NA><NA><NA><NA>롯데쇼핑(주)롯데슈퍼쌍문점801000000과자류과자신당동 장독대를 뛰쳐나온 떡볶이 총각의 맛있는 프로포즈<NA><NA><NA>200909176.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>001<NA>국외<NA><NA><NA><NA><NA><NA><NA>20090056102<NA><NA><NA><NA>서울특별시 도봉구 쌍문동 19번지 1층02 993 5601<NA>20090917<NA><NA><NA><NA><NA><NA>2