Overview

Dataset statistics

Number of variables23
Number of observations49
Missing cells4
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory194.7 B

Variable types

Categorical12
Numeric5
Text6

Alerts

상품대분류명 is highly imbalanced (63.2%)Imbalance
상품매출수량 is highly imbalanced (60.0%)Imbalance
상품소분류명 has 2 (4.1%) missing valuesMissing
상품세분류명 has 2 (4.1%) missing valuesMissing
바코드나머지번호 has unique valuesUnique
상품명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 14:47:52.304943
Analysis finished2024-03-13 14:47:52.758193
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상품구매년월
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
202303
42 
202304
7 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202303
2nd row202303
3rd row202303
4th row202303
5th row202303

Common Values

ValueCountFrequency (%)
202303 42
85.7%
202304 7
 
14.3%

Length

2024-03-13T23:47:52.848665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:47:52.948956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202303 42
85.7%
202304 7
 
14.3%

상품구매일
Real number (ℝ)

Distinct17
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20230329
Minimum20230302
Maximum20230403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-03-13T23:47:53.059279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230302
5-th percentile20230302
Q120230312
median20230320
Q320230326
95-th percentile20230402
Maximum20230403
Range101
Interquartile range (IQR)14

Descriptive statistics

Standard deviation30.873397
Coefficient of variation (CV)1.5260947 × 10-6
Kurtosis2.0353221
Mean20230329
Median Absolute Deviation (MAD)7
Skewness1.8710916
Sum9.9128612 × 108
Variance953.16667
MonotonicityNot monotonic
2024-03-13T23:47:53.222641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20230319 8
16.3%
20230401 4
 
8.2%
20230320 4
 
8.2%
20230327 4
 
8.2%
20230302 4
 
8.2%
20230322 3
 
6.1%
20230326 3
 
6.1%
20230403 3
 
6.1%
20230311 3
 
6.1%
20230312 3
 
6.1%
Other values (7) 10
20.4%
ValueCountFrequency (%)
20230302 4
8.2%
20230303 1
 
2.0%
20230305 1
 
2.0%
20230310 1
 
2.0%
20230311 3
 
6.1%
20230312 3
 
6.1%
20230313 1
 
2.0%
20230314 2
 
4.1%
20230319 8
16.3%
20230320 4
8.2%
ValueCountFrequency (%)
20230403 3
 
6.1%
20230401 4
8.2%
20230327 4
8.2%
20230326 3
 
6.1%
20230323 2
 
4.1%
20230322 3
 
6.1%
20230321 2
 
4.1%
20230320 4
8.2%
20230319 8
16.3%
20230314 2
 
4.1%

상품구매요일
Categorical

Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
일요일
15 
월요일
12 
토요일
7 
목요일
6 
화요일
4 
Other values (2)
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수요일
2nd row금요일
3rd row월요일
4th row월요일
5th row월요일

Common Values

ValueCountFrequency (%)
일요일 15
30.6%
월요일 12
24.5%
토요일 7
14.3%
목요일 6
 
12.2%
화요일 4
 
8.2%
수요일 3
 
6.1%
금요일 2
 
4.1%

Length

2024-03-13T23:47:53.412326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:47:53.596506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일요일 15
30.6%
월요일 12
24.5%
토요일 7
14.3%
목요일 6
 
12.2%
화요일 4
 
8.2%
수요일 3
 
6.1%
금요일 2
 
4.1%

상품구매시간
Categorical

Distinct13
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size524.0 B
09~10시미만
5 
11~12시미만
5 
20~21시미만
4 
15~16시미만
4 
12~13시미만
4 
Other values (8)
27 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08~09시미만
2nd row13~14시미만
3rd row17~18시미만
4th row09~10시미만
5th row11~12시미만

Common Values

ValueCountFrequency (%)
09~10시미만 5
10.2%
11~12시미만 5
10.2%
20~21시미만 4
8.2%
15~16시미만 4
8.2%
12~13시미만 4
8.2%
16~17시미만 4
8.2%
14~15시미만 4
8.2%
18~19시미만 4
8.2%
08~09시미만 3
 
6.1%
13~14시미만 3
 
6.1%
Other values (3) 9
18.4%

Length

2024-03-13T23:47:53.741637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09~10시미만 5
10.2%
11~12시미만 5
10.2%
20~21시미만 4
8.2%
15~16시미만 4
8.2%
12~13시미만 4
8.2%
16~17시미만 4
8.2%
14~15시미만 4
8.2%
18~19시미만 4
8.2%
08~09시미만 3
 
6.1%
13~14시미만 3
 
6.1%
Other values (3) 9
18.4%

성별
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
남성
29 
여성
20 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여성
2nd row남성
3rd row여성
4th row남성
5th row남성

Common Values

ValueCountFrequency (%)
남성 29
59.2%
여성 20
40.8%

Length

2024-03-13T23:47:53.864117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:47:53.976346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남성 29
59.2%
여성 20
40.8%

연령대
Categorical

Distinct8
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
40대
13 
30대
9 
60대
7 
20대
6 
50대
4 
Other values (3)
10 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20대
2nd row40대
3rd row60대
4th row30대
5th row30대

Common Values

ValueCountFrequency (%)
40대 13
26.5%
30대 9
18.4%
60대 7
14.3%
20대 6
12.2%
50대 4
 
8.2%
80대 4
 
8.2%
70대 3
 
6.1%
10대 3
 
6.1%

Length

2024-03-13T23:47:54.071421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:47:54.197042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40대 13
26.5%
30대 9
18.4%
60대 7
14.3%
20대 6
12.2%
50대 4
 
8.2%
80대 4
 
8.2%
70대 3
 
6.1%
10대 3
 
6.1%

매장 시도명
Categorical

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size524.0 B
강원
9 
경남
7 
전북
6 
충남
5 
전남
5 
Other values (6)
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row경남
2nd row경기
3rd row충북
4th row전북
5th row전북

Common Values

ValueCountFrequency (%)
강원 9
18.4%
경남 7
14.3%
전북 6
12.2%
충남 5
10.2%
전남 5
10.2%
경기 4
8.2%
충북 4
8.2%
제주 3
 
6.1%
경북 3
 
6.1%
대전 2
 
4.1%

Length

2024-03-13T23:47:54.331046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원 9
18.4%
경남 7
14.3%
전북 6
12.2%
충남 5
10.2%
전남 5
10.2%
경기 4
8.2%
충북 4
8.2%
제주 3
 
6.1%
경북 3
 
6.1%
대전 2
 
4.1%

매장 시군구명
Categorical

Distinct23
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
청양군
5 
진주시
4 
군산시
4 
춘천시
 
3
제주시
 
3
Other values (18)
30 

Length

Max length7
Median length3
Mean length3.0612245
Min length2

Unique

Unique8 ?
Unique (%)16.3%

Sample

1st row진주시
2nd row남양주시
3rd row청주시 흥덕구
4th row군산시
5th row군산시

Common Values

ValueCountFrequency (%)
청양군 5
 
10.2%
진주시 4
 
8.2%
군산시 4
 
8.2%
춘천시 3
 
6.1%
제주시 3
 
6.1%
나주시 3
 
6.1%
청주시 3
 
6.1%
장수군 2
 
4.1%
창원시 2
 
4.1%
고성군 2
 
4.1%
Other values (13) 18
36.7%

Length

2024-03-13T23:47:54.474438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청양군 5
 
10.0%
진주시 4
 
8.0%
군산시 4
 
8.0%
청주시 4
 
8.0%
춘천시 3
 
6.0%
제주시 3
 
6.0%
나주시 3
 
6.0%
보성군 2
 
4.0%
안동시 2
 
4.0%
태백시 2
 
4.0%
Other values (13) 18
36.0%

사업장유형
Categorical

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
하나로마트/소매
38 
유통센터/소매
6 
하나로클럽/소매
5 

Length

Max length8
Median length8
Mean length7.877551
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하나로마트/소매
2nd row하나로마트/소매
3rd row하나로마트/소매
4th row하나로마트/소매
5th row하나로마트/소매

Common Values

ValueCountFrequency (%)
하나로마트/소매 38
77.6%
유통센터/소매 6
 
12.2%
하나로클럽/소매 5
 
10.2%

Length

2024-03-13T23:47:54.605672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:47:54.709684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하나로마트/소매 38
77.6%
유통센터/소매 6
 
12.2%
하나로클럽/소매 5
 
10.2%

POS번호
Real number (ℝ)

Distinct14
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.87755
Minimum1
Maximum2006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-03-13T23:47:54.804732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q310
95-th percentile2005.2
Maximum2006
Range2005
Interquartile range (IQR)9

Descriptive statistics

Standard deviation605.20112
Coefficient of variation (CV)2.2508429
Kurtosis3.4966728
Mean268.87755
Median Absolute Deviation (MAD)1
Skewness2.1735204
Sum13175
Variance366268.4
MonotonicityNot monotonic
2024-03-13T23:47:54.915823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 16
32.7%
2 13
26.5%
10 3
 
6.1%
2006 3
 
6.1%
1001 2
 
4.1%
3 2
 
4.1%
6 2
 
4.1%
7 2
 
4.1%
2004 1
 
2.0%
11 1
 
2.0%
Other values (4) 4
 
8.2%
ValueCountFrequency (%)
1 16
32.7%
2 13
26.5%
3 2
 
4.1%
6 2
 
4.1%
7 2
 
4.1%
10 3
 
6.1%
11 1
 
2.0%
21 1
 
2.0%
1001 2
 
4.1%
1002 1
 
2.0%
ValueCountFrequency (%)
2006 3
6.1%
2004 1
 
2.0%
1009 1
 
2.0%
1004 1
 
2.0%
1002 1
 
2.0%
1001 2
4.1%
21 1
 
2.0%
11 1
 
2.0%
10 3
6.1%
7 2
4.1%

POS영수증번호
Real number (ℝ)

Distinct24
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.91837
Minimum2
Maximum608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-03-13T23:47:55.032265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.8
Q125
median165
Q3343
95-th percentile433.2
Maximum608
Range606
Interquartile range (IQR)318

Descriptive statistics

Standard deviation171.34211
Coefficient of variation (CV)0.8927864
Kurtosis-1.1266808
Mean191.91837
Median Absolute Deviation (MAD)155
Skewness0.39121557
Sum9404
Variance29358.118
MonotonicityNot monotonic
2024-03-13T23:47:55.167884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
393 5
 
10.2%
323 4
 
8.2%
2 3
 
6.1%
149 3
 
6.1%
41 3
 
6.1%
426 3
 
6.1%
25 3
 
6.1%
5 2
 
4.1%
4 2
 
4.1%
11 2
 
4.1%
Other values (14) 19
38.8%
ValueCountFrequency (%)
2 3
6.1%
4 2
4.1%
5 2
4.1%
10 1
 
2.0%
11 2
4.1%
24 2
4.1%
25 3
6.1%
28 1
 
2.0%
41 3
6.1%
46 1
 
2.0%
ValueCountFrequency (%)
608 1
 
2.0%
438 2
 
4.1%
426 3
6.1%
393 5
10.2%
343 2
 
4.1%
323 4
8.2%
258 2
 
4.1%
245 1
 
2.0%
237 1
 
2.0%
227 1
 
2.0%

POS영수증일련번호
Categorical

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
1
24 
2
15 
3
7 
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
49.0%
2 15
30.6%
3 7
 
14.3%
4 2
 
4.1%
5 1
 
2.0%

Length

2024-03-13T23:47:55.352655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:47:55.508828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
49.0%
2 15
30.6%
3 7
 
14.3%
4 2
 
4.1%
5 1
 
2.0%

바코드앞5자리번호
Real number (ℝ)

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88020.653
Minimum88001
Maximum88097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-03-13T23:47:55.740322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88001
5-th percentile88010
Q188010
median88010
Q388011
95-th percentile88094
Maximum88097
Range96
Interquartile range (IQR)1

Descriptive statistics

Standard deviation26.694687
Coefficient of variation (CV)0.00030327753
Kurtosis3.8944566
Mean88020.653
Median Absolute Deviation (MAD)0
Skewness2.3312186
Sum4313012
Variance712.60629
MonotonicityNot monotonic
2024-03-13T23:47:56.048574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
88010 31
63.3%
88011 7
 
14.3%
88097 2
 
4.1%
88094 2
 
4.1%
88014 1
 
2.0%
88012 1
 
2.0%
88001 1
 
2.0%
88018 1
 
2.0%
88048 1
 
2.0%
88060 1
 
2.0%
ValueCountFrequency (%)
88001 1
 
2.0%
88010 31
63.3%
88011 7
 
14.3%
88012 1
 
2.0%
88014 1
 
2.0%
88018 1
 
2.0%
88048 1
 
2.0%
88060 1
 
2.0%
88090 1
 
2.0%
88094 2
 
4.1%
ValueCountFrequency (%)
88097 2
 
4.1%
88094 2
 
4.1%
88090 1
 
2.0%
88060 1
 
2.0%
88048 1
 
2.0%
88018 1
 
2.0%
88014 1
 
2.0%
88012 1
 
2.0%
88011 7
 
14.3%
88010 31
63.3%

바코드나머지번호
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46045029
Minimum2812288
Maximum99200063
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-03-13T23:47:56.343974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2812288
5-th percentile8365369.2
Q128503211
median47867463
Q362631094
95-th percentile73125444
Maximum99200063
Range96387775
Interquartile range (IQR)34127883

Descriptive statistics

Standard deviation23070785
Coefficient of variation (CV)0.50104832
Kurtosis-0.58785461
Mean46045029
Median Absolute Deviation (MAD)18144656
Skewness-0.11270341
Sum2.2562064 × 109
Variance5.322611 × 1014
MonotonicityNot monotonic
2024-03-13T23:47:56.558239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
45551258 1
 
2.0%
21102398 1
 
2.0%
56028893 1
 
2.0%
66012119 1
 
2.0%
13220390 1
 
2.0%
62623495 1
 
2.0%
58041984 1
 
2.0%
2812288 1
 
2.0%
66650336 1
 
2.0%
9970455 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
2812288 1
2.0%
7039459 1
2.0%
7295312 1
2.0%
9970455 1
2.0%
11615408 1
2.0%
13220390 1
2.0%
15114611 1
2.0%
18250996 1
2.0%
18692403 1
2.0%
19007774 1
2.0%
ValueCountFrequency (%)
99200063 1
2.0%
90000131 1
2.0%
73140578 1
2.0%
73102743 1
2.0%
73102545 1
2.0%
73102538 1
2.0%
69416571 1
2.0%
69212715 1
2.0%
69185620 1
2.0%
66650336 1
2.0%

상품대분류명
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
가공식품
42 
수산류
 
3
생활용품
 
2
채소류
 
1
가전·가구·인테리어
 
1

Length

Max length10
Median length4
Mean length4.0408163
Min length3

Unique

Unique2 ?
Unique (%)4.1%

Sample

1st row가공식품
2nd row가공식품
3rd row채소류
4th row가공식품
5th row수산류

Common Values

ValueCountFrequency (%)
가공식품 42
85.7%
수산류 3
 
6.1%
생활용품 2
 
4.1%
채소류 1
 
2.0%
가전·가구·인테리어 1
 
2.0%

Length

2024-03-13T23:47:56.722802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:47:56.837612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가공식품 42
85.7%
수산류 3
 
6.1%
생활용품 2
 
4.1%
채소류 1
 
2.0%
가전·가구·인테리어 1
 
2.0%

상품중분류명
Categorical

Distinct20
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
면류
8 
유제품(냉장)
5 
음료
5 
과자
5 
대용식품
5 
Other values (15)
21 

Length

Max length7
Median length6
Mean length3.6122449
Min length2

Unique

Unique11 ?
Unique (%)22.4%

Sample

1st row병·통조림
2nd row과자
3rd row채소기타
4th row면류
5th row해조류

Common Values

ValueCountFrequency (%)
면류 8
16.3%
유제품(냉장) 5
10.2%
음료 5
10.2%
과자 5
10.2%
대용식품 5
10.2%
주류 3
 
6.1%
아이스크림류 3
 
6.1%
병·통조림 2
 
4.1%
커피·차류 2
 
4.1%
연체류 1
 
2.0%
Other values (10) 10
20.4%

Length

2024-03-13T23:47:56.976170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
면류 8
16.3%
음료 5
10.2%
과자 5
10.2%
대용식품 5
10.2%
유제품(냉장 5
10.2%
주류 3
 
6.1%
아이스크림류 3
 
6.1%
병·통조림 2
 
4.1%
커피·차류 2
 
4.1%
주방가전 1
 
2.0%
Other values (10) 10
20.4%

상품소분류명
Text

MISSING 

Distinct26
Distinct (%)55.3%
Missing2
Missing (%)4.1%
Memory size524.0 B
2024-03-13T23:47:57.149740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.212766
Min length1

Characters and Unicode

Total characters151
Distinct characters68
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)31.9%

Sample

1st row수산
2nd row츄잉검
3rd row기타채소
4th row라면
5th row김
ValueCountFrequency (%)
라면 8
17.0%
우유류 4
 
8.5%
아이스크림 3
 
6.4%
대용식(상온 3
 
6.4%
만두류 2
 
4.3%
수산 2
 
4.3%
전통과자 2
 
4.3%
생수 2
 
4.3%
탄산음료 2
 
4.3%
커피 2
 
4.3%
Other values (16) 17
36.2%
2024-03-13T23:47:57.503409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
라 8
 
5.3%
면 8
 
5.3%
류 7
 
4.6%
유 6
 
4.0%
용 5
 
3.3%
우 4
 
2.6%
산 4
 
2.6%
수 4
 
2.6%
식 4
 
2.6%
온 3
 
2.0%
Other values (58) 98
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
94.7%
Close Punctuation 3
 
2.0%
Open Punctuation 3
 
2.0%
Decimal Number 1
 
0.7%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 8
 
5.6%
면 8
 
5.6%
류 7
 
4.9%
유 6
 
4.2%
용 5
 
3.5%
우 4
 
2.8%
산 4
 
2.8%
수 4
 
2.8%
식 4
 
2.8%
온 3
 
2.1%
Other values (54) 90
62.9%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
94.7%
Common 8
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 8
 
5.6%
면 8
 
5.6%
류 7
 
4.9%
유 6
 
4.2%
용 5
 
3.5%
우 4
 
2.8%
산 4
 
2.8%
수 4
 
2.8%
식 4
 
2.8%
온 3
 
2.1%
Other values (54) 90
62.9%
Common
ValueCountFrequency (%)
) 3
37.5%
( 3
37.5%
1 1
 
12.5%
· 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
94.7%
ASCII 7
 
4.6%
None 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
라 8
 
5.6%
면 8
 
5.6%
류 7
 
4.9%
유 6
 
4.2%
용 5
 
3.5%
우 4
 
2.8%
산 4
 
2.8%
수 4
 
2.8%
식 4
 
2.8%
온 3
 
2.1%
Other values (54) 90
62.9%
ASCII
ValueCountFrequency (%)
) 3
42.9%
( 3
42.9%
1 1
 
14.3%
None
ValueCountFrequency (%)
· 1
100.0%

상품세분류명
Text

MISSING 

Distinct32
Distinct (%)68.1%
Missing2
Missing (%)4.1%
Memory size524.0 B
2024-03-13T23:47:57.728613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.9361702
Min length1

Characters and Unicode

Total characters185
Distinct characters81
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

Unique24 ?
Unique (%)51.1%

Sample

1st row참치
2nd row기타
3rd row기타채소(기타)
4th row봉지라면
5th row김
ValueCountFrequency (%)
봉지라면 4
 
8.3%
기타 4
 
8.3%
용기라면 4
 
8.3%
일반흰우유 3
 
6.2%
참치 2
 
4.2%
펜슬(쭈쭈바 2
 
4.2%
생수 2
 
4.2%
카레류 2
 
4.2%
화장지 1
 
2.1%
치어팩 1
 
2.1%
Other values (23) 23
47.9%
2024-03-13T23:47:58.127588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 12
 
6.5%
타 9
 
4.9%
라 8
 
4.3%
면 8
 
4.3%
지 8
 
4.3%
유 5
 
2.7%
봉 4
 
2.2%
우 4
 
2.2%
) 4
 
2.2%
레 4
 
2.2%
Other values (71) 119
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
95.1%
Close Punctuation 4
 
2.2%
Open Punctuation 4
 
2.2%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 12
 
6.8%
타 9
 
5.1%
라 8
 
4.5%
면 8
 
4.5%
지 8
 
4.5%
유 5
 
2.8%
봉 4
 
2.3%
우 4
 
2.3%
레 4
 
2.3%
반 4
 
2.3%
Other values (68) 110
62.5%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
95.1%
Common 9
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 12
 
6.8%
타 9
 
5.1%
라 8
 
4.5%
면 8
 
4.5%
지 8
 
4.5%
유 5
 
2.8%
봉 4
 
2.3%
우 4
 
2.3%
레 4
 
2.3%
반 4
 
2.3%
Other values (68) 110
62.5%
Common
ValueCountFrequency (%)
) 4
44.4%
( 4
44.4%
1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
95.1%
ASCII 9
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 12
 
6.8%
타 9
 
5.1%
라 8
 
4.5%
면 8
 
4.5%
지 8
 
4.5%
유 5
 
2.8%
봉 4
 
2.3%
우 4
 
2.3%
레 4
 
2.3%
반 4
 
2.3%
Other values (68) 110
62.5%
ASCII
ValueCountFrequency (%)
) 4
44.4%
( 4
44.4%
1
 
11.1%

상품명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-13T23:47:58.393118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length14.55102
Min length6

Characters and Unicode

Total characters713
Distinct characters217
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row오뚜기 가벼운참치 고추 100g*4
2nd row롯데)후라보노오리지날 26G
3rd row유러피안셀러드/300g/세인
4th row삼양라면 120g*5개입
5th row삼부자파래도시락김
ValueCountFrequency (%)
롯데칠성사이다(캔 2
 
1.9%
1kg 2
 
1.9%
삼양라면 2
 
1.9%
100g 2
 
1.9%
900ml*2 2
 
1.9%
140g*5개입 2
 
1.9%
오뚜기 1
 
1.0%
강원도 1
 
1.0%
황태포(대 1
 
1.0%
청주가덕생쌀막걸리1700ml 1
 
1.0%
Other values (87) 87
84.5%
2024-03-13T23:47:58.999109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
 
8.0%
54
 
7.6%
1 33
 
4.6%
g 23
 
3.2%
5 21
 
2.9%
) 20
 
2.8%
m 19
 
2.7%
l 17
 
2.4%
( 16
 
2.2%
2 16
 
2.2%
Other values (207) 437
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
48.8%
Decimal Number 165
23.1%
Lowercase Letter 63
 
8.8%
Space Separator 54
 
7.6%
Uppercase Letter 21
 
2.9%
Close Punctuation 20
 
2.8%
Other Punctuation 20
 
2.8%
Open Punctuation 16
 
2.2%
Math Symbol 3
 
0.4%
Connector Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
데 8
 
2.3%
입 7
 
2.0%
개 7
 
2.0%
이 7
 
2.0%
오 7
 
2.0%
롯 7
 
2.0%
가 7
 
2.0%
라 6
 
1.7%
면 6
 
1.7%
기 6
 
1.7%
Other values (169) 280
80.5%
Uppercase Letter
ValueCountFrequency (%)
G 5
23.8%
A 3
14.3%
T 2
 
9.5%
L 2
 
9.5%
I 1
 
4.8%
S 1
 
4.8%
P 1
 
4.8%
H 1
 
4.8%
N 1
 
4.8%
R 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
0 57
34.5%
1 33
20.0%
5 21
 
12.7%
2 16
 
9.7%
6 11
 
6.7%
3 9
 
5.5%
9 7
 
4.2%
4 5
 
3.0%
8 3
 
1.8%
7 3
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
g 23
36.5%
m 19
30.2%
l 17
27.0%
k 3
 
4.8%
p 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
* 15
75.0%
/ 2
 
10.0%
. 2
 
10.0%
% 1
 
5.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
48.8%
Common 281
39.4%
Latin 84
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
데 8
 
2.3%
입 7
 
2.0%
개 7
 
2.0%
이 7
 
2.0%
오 7
 
2.0%
롯 7
 
2.0%
가 7
 
2.0%
라 6
 
1.7%
면 6
 
1.7%
기 6
 
1.7%
Other values (169) 280
80.5%
Common
ValueCountFrequency (%)
0 57
20.3%
54
19.2%
1 33
11.7%
5 21
 
7.5%
) 20
 
7.1%
( 16
 
5.7%
2 16
 
5.7%
* 15
 
5.3%
6 11
 
3.9%
3 9
 
3.2%
Other values (10) 29
10.3%
Latin
ValueCountFrequency (%)
g 23
27.4%
m 19
22.6%
l 17
20.2%
G 5
 
6.0%
k 3
 
3.6%
A 3
 
3.6%
T 2
 
2.4%
L 2
 
2.4%
I 1
 
1.2%
S 1
 
1.2%
Other values (8) 8
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
51.2%
Hangul 348
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
15.6%
54
14.8%
1 33
 
9.0%
g 23
 
6.3%
5 21
 
5.8%
) 20
 
5.5%
m 19
 
5.2%
l 17
 
4.7%
( 16
 
4.4%
2 16
 
4.4%
Other values (28) 89
24.4%
Hangul
ValueCountFrequency (%)
데 8
 
2.3%
입 7
 
2.0%
개 7
 
2.0%
이 7
 
2.0%
오 7
 
2.0%
롯 7
 
2.0%
가 7
 
2.0%
라 6
 
1.7%
면 6
 
1.7%
기 6
 
1.7%
Other values (169) 280
80.5%

제조사명
Text

Distinct33
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-13T23:47:59.224138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.4693878
Min length2

Characters and Unicode

Total characters415
Distinct characters96
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

Unique24 ?
Unique (%)49.0%

Sample

1st row(주)오뚜기
2nd row롯데제과(주)
3rd row안성농식품물류센터
4th row삼양식품(주)
5th row(주)두레에프앤디
ValueCountFrequency (%)
주)오뚜기 4
 
7.3%
삼양식품(주 4
 
7.3%
롯데제과(주 3
 
5.5%
주)동원에프앤비 3
 
5.5%
롯데칠성음료(주 3
 
5.5%
본사 3
 
5.5%
씨제이제일제당(주 2
 
3.6%
주식회사 2
 
3.6%
주)팔도 2
 
3.6%
남양유업(주)(우유 2
 
3.6%
Other values (26) 27
49.1%
2024-03-13T23:47:59.591249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 49
 
11.8%
) 49
 
11.8%
주 44
 
10.6%
유 13
 
3.1%
제 12
 
2.9%
식 11
 
2.7%
품 9
 
2.2%
롯 9
 
2.2%
데 9
 
2.2%
과 9
 
2.2%
Other values (86) 201
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
74.5%
Open Punctuation 50
 
12.0%
Close Punctuation 50
 
12.0%
Space Separator 6
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
14.2%
유 13
 
4.2%
제 12
 
3.9%
식 11
 
3.6%
품 9
 
2.9%
롯 9
 
2.9%
데 9
 
2.9%
과 9
 
2.9%
사 7
 
2.3%
우 7
 
2.3%
Other values (81) 179
57.9%
Open Punctuation
ValueCountFrequency (%)
( 49
98.0%
[ 1
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 49
98.0%
] 1
 
2.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
74.5%
Common 106
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
14.2%
유 13
 
4.2%
제 12
 
3.9%
식 11
 
3.6%
품 9
 
2.9%
롯 9
 
2.9%
데 9
 
2.9%
과 9
 
2.9%
사 7
 
2.3%
우 7
 
2.3%
Other values (81) 179
57.9%
Common
ValueCountFrequency (%)
( 49
46.2%
) 49
46.2%
6
 
5.7%
[ 1
 
0.9%
] 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
74.5%
ASCII 106
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 49
46.2%
) 49
46.2%
6
 
5.7%
[ 1
 
0.9%
] 1
 
0.9%
Hangul
ValueCountFrequency (%)
주 44
 
14.2%
유 13
 
4.2%
제 12
 
3.9%
식 11
 
3.6%
품 9
 
2.9%
롯 9
 
2.9%
데 9
 
2.9%
과 9
 
2.9%
사 7
 
2.3%
우 7
 
2.3%
Other values (81) 179
57.9%

상품매출단가
Text

Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-13T23:47:59.819906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.6734694
Min length3

Characters and Unicode

Total characters229
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)91.8%

Sample

1st row7,680
2nd row960
3rd row3,180
4th row3,840
5th row4,800
ValueCountFrequency (%)
960 2
 
4.1%
700 2
 
4.1%
3,980 1
 
2.0%
8,190 1
 
2.0%
37,300 1
 
2.0%
4,590 1
 
2.0%
770 1
 
2.0%
2,880 1
 
2.0%
21,900 1
 
2.0%
1,000 1
 
2.0%
Other values (37) 37
75.5%
2024-03-13T23:48:00.319490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 71
31.0%
, 38
16.6%
8 24
 
10.5%
9 16
 
7.0%
3 16
 
7.0%
1 15
 
6.6%
2 15
 
6.6%
5 11
 
4.8%
7 8
 
3.5%
4 8
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 191
83.4%
Other Punctuation 38
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 71
37.2%
8 24
 
12.6%
9 16
 
8.4%
3 16
 
8.4%
1 15
 
7.9%
2 15
 
7.9%
5 11
 
5.8%
7 8
 
4.2%
4 8
 
4.2%
6 7
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 71
31.0%
, 38
16.6%
8 24
 
10.5%
9 16
 
7.0%
3 16
 
7.0%
1 15
 
6.6%
2 15
 
6.6%
5 11
 
4.8%
7 8
 
3.5%
4 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 71
31.0%
, 38
16.6%
8 24
 
10.5%
9 16
 
7.0%
3 16
 
7.0%
1 15
 
6.6%
2 15
 
6.6%
5 11
 
4.8%
7 8
 
3.5%
4 8
 
3.5%

상품매출수량
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
1
41 
2
 
4
3
 
2
10
 
1
20
 
1

Length

Max length2
Median length1
Mean length1.0408163
Min length1

Unique

Unique2 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 41
83.7%
2 4
 
8.2%
3 2
 
4.1%
10 1
 
2.0%
20 1
 
2.0%

Length

2024-03-13T23:48:00.486804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:48:00.596121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
83.7%
2 4
 
8.2%
3 2
 
4.1%
10 1
 
2.0%
20 1
 
2.0%

상품매출금액
Text

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-13T23:48:00.785578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.7959184
Min length3

Characters and Unicode

Total characters235
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)95.9%

Sample

1st row7,680
2nd row960
3rd row3,180
4th row3,840
5th row4,800
ValueCountFrequency (%)
960 2
 
4.1%
7,680 1
 
2.0%
5,250 1
 
2.0%
2,880 1
 
2.0%
21,900 1
 
2.0%
700 1
 
2.0%
1,000 1
 
2.0%
9,600 1
 
2.0%
7,400 1
 
2.0%
1,980 1
 
2.0%
Other values (38) 38
77.6%
2024-03-13T23:48:01.142603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 73
31.1%
, 40
17.0%
8 21
 
8.9%
9 18
 
7.7%
1 16
 
6.8%
2 14
 
6.0%
3 13
 
5.5%
6 11
 
4.7%
5 11
 
4.7%
4 10
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 195
83.0%
Other Punctuation 40
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 73
37.4%
8 21
 
10.8%
9 18
 
9.2%
1 16
 
8.2%
2 14
 
7.2%
3 13
 
6.7%
6 11
 
5.6%
5 11
 
5.6%
4 10
 
5.1%
7 8
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 235
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 73
31.1%
, 40
17.0%
8 21
 
8.9%
9 18
 
7.7%
1 16
 
6.8%
2 14
 
6.0%
3 13
 
5.5%
6 11
 
4.7%
5 11
 
4.7%
4 10
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 73
31.1%
, 40
17.0%
8 21
 
8.9%
9 18
 
7.7%
1 16
 
6.8%
2 14
 
6.0%
3 13
 
5.5%
6 11
 
4.7%
5 11
 
4.7%
4 10
 
4.3%

Sample

상품구매년월상품구매일상품구매요일상품구매시간성별연령대매장 시도명매장 시군구명사업장유형POS번호POS영수증번호POS영수증일련번호바코드앞5자리번호바코드나머지번호상품대분류명상품중분류명상품소분류명상품세분류명상품명제조사명상품매출단가상품매출수량상품매출금액
020230320230322수요일08~09시미만여성20대경남진주시하나로마트/소매20041018801045551258가공식품병·통조림수산참치오뚜기 가벼운참치 고추 100g*4(주)오뚜기7,68017,680
120230320230310금요일13~14시미만남성40대경기남양주시하나로마트/소매119618801062323159가공식품과자츄잉검기타롯데)후라보노오리지날 26G롯데제과(주)9601960
220230320230313월요일17~18시미만여성60대충북청주시 흥덕구하나로마트/소매223718801448403444채소류채소기타기타채소기타채소(기타)유러피안셀러드/300g/세인안성농식품물류센터3,18013,180
320230320230320월요일09~10시미만남성30대전북군산시하나로마트/소매132318801073102545가공식품면류라면봉지라면삼양라면 120g*5개입삼양식품(주)3,84013,840
420230320230320월요일11~12시미만남성30대전북군산시하나로마트/소매132328801299200063수산류해조류김김삼부자파래도시락김(주)두레에프앤디4,80014,800
520230320230320월요일20~21시미만남성30대전북군산시하나로마트/소매132338801048951017가공식품주류소주희석식 병소주참이슬(16.5%) 360ml(주)진로직매장1,39011,390
620230320230320월요일15~16시미만남성30대전북군산시하나로마트/소매13234880107295312가공식품대용식품대용식(상온)레토르트(기타)햇반 210g*8입씨제이제일제당(주) 본사10,900110,900
720230320230305일요일12~13시미만남성50대경남창녕군하나로마트/소매22818801043015264가공식품면류라면봉지라면농심 올리브짜파게티 140g*5개입(주)농심4,48014,480
820230320230312일요일19~20시미만여성20대강원춘천시하나로마트/소매214918801115114611가공식품유제품(냉장)우유류일반흰우유서울우유 후레쉬밀크 900ml*2서울우유협동조합(우유)3,68013,680
920230320230312일요일10~11시미만여성20대강원춘천시하나로마트/소매214928801037006391가공식품커피·차류커피커피믹스맥심모카골드믹스20T(240G)동서식품(주)3,88013,880
상품구매년월상품구매일상품구매요일상품구매시간성별연령대매장 시도명매장 시군구명사업장유형POS번호POS영수증번호POS영수증일련번호바코드앞5자리번호바코드나머지번호상품대분류명상품중분류명상품소분류명상품세분류명상품명제조사명상품매출단가상품매출수량상품매출금액
3920230420230403월요일09~10시미만여성10대경기평택시하나로마트/소매343818801047867463가공식품병·통조림수산참치살코기참치 90g*6+고추참치 90g*2(농협전용)(주)동원에프앤비14,980114,980
4020230420230403월요일11~12시미만여성10대경기평택시하나로마트/소매34382880107039459가공식품가루식품밀가루밀가루백설밀가루(박력) 1kg씨제이제일제당(주) 본사2,35012,350
4120230420230401토요일20~21시미만여성40대강원태백시하나로마트/소매6418801069185620가공식품음료생수생수HANARO_하나로샘물 500ml남양유업(주)음료2501250
4220230420230401토요일15~16시미만여성40대강원태백시하나로마트/소매6428806011615408가공식품의약외품의약외품드링크류박카스F 120ml주식회사 우리에프엔비8501850
4320230420230401토요일12~13시미만남성60대경북안동시하나로마트/소매7518801056018948가공식품커피·차류커피액상커피롯데칸타타 라떼(캔) 275ml롯데칠성음료(주)1,1001011,000
4420230420230401토요일16~17시미만남성60대경북안동시하나로마트/소매7528801043022798가공식품음료생수생수백산수 500ml*20(주)농심8,19018,190
4520230320230303금요일14~15시미만여성80대대전유성구하나로마트/소매260818801069416571가공식품유제품(냉장)우유류일반흰우유남양 아침에우유 900ml*2남양유업(주)(우유)3,98013,980
4620230320230327월요일18~19시미만남성40대경북구미시하나로마트/소매100422718801073140578가공식품면류라면봉지라면불닭볶음면 140g*5개입삼양식품(주)4,59014,590
4720230320230321화요일09~10시미만남성30대강원고성군유통센터/소매22418809018692403가전·가구·인테리어주방가전레인지·오븐가스레인지썬터치더쎄다가스렌지 ST-10000A(주)썬터치37,300137,300
4820230320230321화요일11~12시미만남성30대강원고성군유통센터/소매22428809751483382생활용품주방용품1회용품종이컵디자인VIP종이컵185ml(1줄_50p)단비8302016,600