Overview

Dataset statistics

Number of variables10
Number of observations2739
Missing cells0
Missing cells (%)0.0%
Duplicate rows134
Duplicate rows (%)4.9%
Total size in memory222.1 KiB
Average record size in memory83.0 B

Variable types

DateTime1
Categorical5
Text1
Numeric3

Dataset

Description전라남도 보성군 보성몰 차 관련 판매 정보 데이터로 판매일자, 요일, 상품명, 분류명, 판매단가, 수량, 매출액 등의 항목을 제공합니다.
Author전라남도 보성군
URLhttps://www.data.go.kr/data/15111880/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 134 (4.9%) duplicate rowsDuplicates
대분류명 is highly overall correlated with 중분류명 and 1 other fieldsHigh correlation
중분류명 is highly overall correlated with 대분류명 and 1 other fieldsHigh correlation
소분류명 is highly overall correlated with 대분류명 and 1 other fieldsHigh correlation
판매단가 is highly overall correlated with 매출액High correlation
매출액 is highly overall correlated with 판매단가High correlation
대분류명 is highly imbalanced (80.6%)Imbalance
중분류명 is highly imbalanced (71.1%)Imbalance

Reproduction

Analysis started2023-12-12 11:13:17.967556
Analysis finished2023-12-12 11:13:20.878134
Duration2.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매일자
Date

Distinct657
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
Minimum2020-07-01 00:00:00
Maximum2022-07-31 00:00:00
2023-12-12T20:13:20.995979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:21.257830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

요일
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
수
491 
화
488 
월
478 
목
432 
금
320 
Other values (2)
530 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수 491
17.9%
화 488
17.8%
월 478
17.5%
목 432
15.8%
금 320
11.7%
일 299
10.9%
토 231
8.4%

Length

2023-12-12T20:13:21.551833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:21.845231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수 491
17.9%
화 488
17.8%
월 478
17.5%
목 432
15.8%
금 320
11.7%
일 299
10.9%
토 231
8.4%

상품명
Text

Distinct327
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
2023-12-12T20:13:22.428998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length23.921139
Min length10

Characters and Unicode

Total characters65520
Distinct characters316
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

Unique67 ?
Unique (%)2.4%

Sample

1st row[(주)보성녹차유통] 보성녹차 175ml x 30캔
2nd row[(주)보성녹차유통] 서편제 홍차 175ml x 30캔
3rd row[(주)보성녹차유통] 옥수수수염차 175ml x 30캔
4th row[선운제다] 세작삼각티백(25eax2)
5th row[청룡다원] 맑고 깨끗한 유기농 녹차 티백(100T)
ValueCountFrequency (%)
보성 457
 
4.1%
보성녹차 358
 
3.2%
유기농 357
 
3.2%
다도락 350
 
3.1%
보성차생산자조합 298
 
2.7%
녹차 294
 
2.6%
대한다업 259
 
2.3%
선운제다 215
 
1.9%
212
 
1.9%
100g 151
 
1.3%
Other values (452) 8288
73.7%
2023-12-12T20:13:23.280320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8562
 
13.1%
차 3286
 
5.0%
0 3187
 
4.9%
] 2826
 
4.3%
[ 2824
 
4.3%
다 2237
 
3.4%
보 2046
 
3.1%
g 2020
 
3.1%
성 1952
 
3.0%
녹 1680
 
2.6%
Other values (306) 34900
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35241
53.8%
Space Separator 8562
 
13.1%
Decimal Number 7452
 
11.4%
Close Punctuation 4179
 
6.4%
Open Punctuation 4179
 
6.4%
Lowercase Letter 3804
 
5.8%
Uppercase Letter 884
 
1.3%
Other Punctuation 686
 
1.0%
Math Symbol 533
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 3286
 
9.3%
다 2237
 
6.3%
보 2046
 
5.8%
성 1952
 
5.5%
녹 1680
 
4.8%
원 1207
 
3.4%
기 864
 
2.5%
유 764
 
2.2%
티 744
 
2.1%
백 672
 
1.9%
Other values (261) 19789
56.2%
Lowercase Letter
ValueCountFrequency (%)
g 2020
53.1%
x 523
 
13.7%
a 341
 
9.0%
e 330
 
8.7%
o 152
 
4.0%
p 119
 
3.1%
k 81
 
2.1%
l 63
 
1.7%
m 62
 
1.6%
t 46
 
1.2%
Other values (5) 67
 
1.8%
Decimal Number
ValueCountFrequency (%)
0 3187
42.8%
1 1334
17.9%
2 967
 
13.0%
5 724
 
9.7%
8 310
 
4.2%
3 308
 
4.1%
4 306
 
4.1%
6 194
 
2.6%
7 79
 
1.1%
9 43
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
T 356
40.3%
E 276
31.2%
A 123
 
13.9%
X 39
 
4.4%
B 35
 
4.0%
S 34
 
3.8%
M 19
 
2.1%
G 1
 
0.1%
C 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 282
41.1%
* 179
26.1%
. 153
22.3%
& 72
 
10.5%
Close Punctuation
ValueCountFrequency (%)
] 2826
67.6%
) 1353
32.4%
Open Punctuation
ValueCountFrequency (%)
[ 2824
67.6%
( 1355
32.4%
Math Symbol
ValueCountFrequency (%)
+ 480
90.1%
× 53
 
9.9%
Space Separator
ValueCountFrequency (%)
8562
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35241
53.8%
Common 25591
39.1%
Latin 4688
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 3286
 
9.3%
다 2237
 
6.3%
보 2046
 
5.8%
성 1952
 
5.5%
녹 1680
 
4.8%
원 1207
 
3.4%
기 864
 
2.5%
유 764
 
2.2%
티 744
 
2.1%
백 672
 
1.9%
Other values (261) 19789
56.2%
Latin
ValueCountFrequency (%)
g 2020
43.1%
x 523
 
11.2%
T 356
 
7.6%
a 341
 
7.3%
e 330
 
7.0%
E 276
 
5.9%
o 152
 
3.2%
A 123
 
2.6%
p 119
 
2.5%
k 81
 
1.7%
Other values (14) 367
 
7.8%
Common
ValueCountFrequency (%)
8562
33.5%
0 3187
 
12.5%
] 2826
 
11.0%
[ 2824
 
11.0%
( 1355
 
5.3%
) 1353
 
5.3%
1 1334
 
5.2%
2 967
 
3.8%
5 724
 
2.8%
+ 480
 
1.9%
Other values (11) 1979
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35241
53.8%
ASCII 30226
46.1%
None 53
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8562
28.3%
0 3187
 
10.5%
] 2826
 
9.3%
[ 2824
 
9.3%
g 2020
 
6.7%
( 1355
 
4.5%
) 1353
 
4.5%
1 1334
 
4.4%
2 967
 
3.2%
5 724
 
2.4%
Other values (34) 5074
16.8%
Hangul
ValueCountFrequency (%)
차 3286
 
9.3%
다 2237
 
6.3%
보 2046
 
5.8%
성 1952
 
5.5%
녹 1680
 
4.8%
원 1207
 
3.4%
기 864
 
2.5%
유 764
 
2.2%
티 744
 
2.1%
백 672
 
1.9%
Other values (261) 19789
56.2%
None
ValueCountFrequency (%)
× 53
100.0%

대분류명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
식품
2657 
생활용품
 
82

Length

Max length4
Median length2
Mean length2.0598759
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품 2657
97.0%
생활용품 82
 
3.0%

Length

2023-12-12T20:13:23.604213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:23.860753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품 2657
97.0%
생활용품 82
 
3.0%

중분류명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
음료&티백
2361 
조미식품
 
129
간식류
 
111
위생용품
 
81
면류
 
41
Other values (3)
 
16

Length

Max length5
Median length5
Mean length4.7809419
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row음료&티백
2nd row음료&티백
3rd row음료&티백
4th row음료&티백
5th row음료&티백

Common Values

ValueCountFrequency (%)
음료&티백 2361
86.2%
조미식품 129
 
4.7%
간식류 111
 
4.1%
위생용품 81
 
3.0%
면류 41
 
1.5%
반찬 14
 
0.5%
유가공품 1
 
< 0.1%
화장품 1
 
< 0.1%

Length

2023-12-12T20:13:24.073044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:24.259823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음료&티백 2361
86.2%
조미식품 129
 
4.7%
간식류 111
 
4.1%
위생용품 81
 
3.0%
면류 41
 
1.5%
반찬 14
 
0.5%
유가공품 1
 
< 0.1%
화장품 1
 
< 0.1%

소분류명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
녹차
1556 
식물 뿌리+잎차
195 
발효차
187 
블랜딩티
161 
가루
 
123
Other values (14)
517 

Length

Max length8
Median length2
Mean length2.6334429
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row녹차
2nd row발효차
3rd row식물 뿌리+잎차
4th row녹차
5th row녹차

Common Values

ValueCountFrequency (%)
녹차 1556
56.8%
식물 뿌리+잎차 195
 
7.1%
발효차 187
 
6.8%
블랜딩티 161
 
5.9%
가루 123
 
4.5%
과자 107
 
3.9%
세트 105
 
3.8%
기타 93
 
3.4%
비누 72
 
2.6%
꽃차 52
 
1.9%
Other values (9) 88
 
3.2%

Length

2023-12-12T20:13:24.467461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
녹차 1556
53.0%
식물 195
 
6.6%
뿌리+잎차 195
 
6.6%
발효차 187
 
6.4%
블랜딩티 161
 
5.5%
가루 123
 
4.2%
과자 107
 
3.6%
세트 105
 
3.6%
기타 93
 
3.2%
비누 72
 
2.5%
Other values (10) 140
 
4.8%

판매단가
Real number (ℝ)

HIGH CORRELATION 

Distinct117
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20347.674
Minimum2600
Maximum200000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2023-12-12T20:13:24.669047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2600
5-th percentile5100
Q19000
median13500
Q325000
95-th percentile55000
Maximum200000
Range197400
Interquartile range (IQR)16000

Descriptive statistics

Standard deviation19497.05
Coefficient of variation (CV)0.9581955
Kurtosis12.461486
Mean20347.674
Median Absolute Deviation (MAD)6500
Skewness2.824728
Sum55732280
Variance3.8013495 × 108
MonotonicityNot monotonic
2023-12-12T20:13:24.952002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9000 228
 
8.3%
10000 179
 
6.5%
5400 149
 
5.4%
20000 137
 
5.0%
13500 119
 
4.3%
45000 102
 
3.7%
11000 100
 
3.7%
12000 93
 
3.4%
15000 86
 
3.1%
18000 76
 
2.8%
Other values (107) 1470
53.7%
ValueCountFrequency (%)
2600 7
 
0.3%
3000 1
 
< 0.1%
3700 2
 
0.1%
3900 13
 
0.5%
4000 4
 
0.1%
4200 2
 
0.1%
4300 2
 
0.1%
4500 58
2.1%
5000 36
1.3%
5100 59
2.2%
ValueCountFrequency (%)
200000 3
 
0.1%
120000 1
 
< 0.1%
117000 1
 
< 0.1%
116100 7
 
0.3%
105300 1
 
< 0.1%
100000 26
0.9%
90000 16
0.6%
87000 4
 
0.1%
81000 1
 
< 0.1%
80000 21
0.8%

수량
Real number (ℝ)

Distinct25
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4173056
Minimum1
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2023-12-12T20:13:25.242938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum240
Range239
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.3089002
Coefficient of variation (CV)3.0235731
Kurtosis508.31026
Mean2.4173056
Median Absolute Deviation (MAD)0
Skewness19.281811
Sum6621
Variance53.420022
MonotonicityNot monotonic
2023-12-12T20:13:25.445381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1763
64.4%
2 537
 
19.6%
3 143
 
5.2%
4 77
 
2.8%
5 77
 
2.8%
10 43
 
1.6%
6 29
 
1.1%
20 22
 
0.8%
25 12
 
0.4%
8 9
 
0.3%
Other values (15) 27
 
1.0%
ValueCountFrequency (%)
1 1763
64.4%
2 537
 
19.6%
3 143
 
5.2%
4 77
 
2.8%
5 77
 
2.8%
6 29
 
1.1%
7 3
 
0.1%
8 9
 
0.3%
9 2
 
0.1%
10 43
 
1.6%
ValueCountFrequency (%)
240 1
 
< 0.1%
150 1
 
< 0.1%
100 3
 
0.1%
72 1
 
< 0.1%
50 3
 
0.1%
49 1
 
< 0.1%
45 1
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
25 12
0.4%

매출액
Real number (ℝ)

HIGH CORRELATION 

Distinct234
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43559.31
Minimum3900
Maximum4500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2023-12-12T20:13:25.653799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3900
5-th percentile5400
Q111110
median21000
Q340000
95-th percentile100000
Maximum4500000
Range4496100
Interquartile range (IQR)28890

Descriptive statistics

Standard deviation151093.42
Coefficient of variation (CV)3.4686826
Kurtosis400.58186
Mean43559.31
Median Absolute Deviation (MAD)11000
Skewness17.28227
Sum1.1930895 × 108
Variance2.2829221 × 1010
MonotonicityNot monotonic
2023-12-12T20:13:25.928376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9000 153
 
5.6%
20000 146
 
5.3%
18000 114
 
4.2%
45000 108
 
3.9%
5400 87
 
3.2%
10000 87
 
3.2%
13500 85
 
3.1%
12000 78
 
2.8%
30000 76
 
2.8%
27000 74
 
2.7%
Other values (224) 1731
63.2%
ValueCountFrequency (%)
3900 12
 
0.4%
4000 2
 
0.1%
4200 1
 
< 0.1%
4300 2
 
0.1%
4500 21
 
0.8%
5000 18
 
0.7%
5100 24
 
0.9%
5400 87
3.2%
5500 19
 
0.7%
6000 17
 
0.6%
ValueCountFrequency (%)
4500000 1
< 0.1%
3300000 1
< 0.1%
2500000 1
< 0.1%
1800000 1
< 0.1%
1600000 1
< 0.1%
1296000 1
< 0.1%
1215000 2
0.1%
1190700 1
< 0.1%
1125000 1
< 0.1%
1100000 1
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
2022-10-30
2739 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-30
2nd row2022-10-30
3rd row2022-10-30
4th row2022-10-30
5th row2022-10-30

Common Values

ValueCountFrequency (%)
2022-10-30 2739
100.0%

Length

2023-12-12T20:13:26.165382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:13:26.310698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-30 2739
100.0%

Interactions

2023-12-12T20:13:20.027645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:18.992127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:19.550223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:20.178071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:19.193905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:19.736916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:20.302588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:19.380215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:13:19.868040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:13:26.420203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일대분류명중분류명소분류명판매단가수량매출액
요일1.0000.0720.0690.1410.1680.0390.136
대분류명0.0721.0001.0001.0000.0910.0000.000
중분류명0.0691.0001.0000.9990.2470.0000.000
소분류명0.1411.0000.9991.0000.4270.0880.000
판매단가0.1680.0910.2470.4271.0000.0000.266
수량0.0390.0000.0000.0880.0001.0000.813
매출액0.1360.0000.0000.0000.2660.8131.000
2023-12-12T20:13:26.604516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일대분류명중분류명소분류명
요일1.0000.0770.0370.063
대분류명0.0771.0000.9990.997
중분류명0.0370.9991.0000.995
소분류명0.0630.9970.9951.000
2023-12-12T20:13:26.753771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매단가수량매출액요일대분류명중분류명소분류명
판매단가1.000-0.2730.7170.0590.0970.1340.204
수량-0.2731.0000.4060.0230.0000.0000.040
매출액0.7170.4061.0000.0480.0000.0000.000
요일0.0590.0230.0481.0000.0770.0370.063
대분류명0.0970.0000.0000.0771.0000.9990.997
중분류명0.1340.0000.0000.0370.9991.0000.995
소분류명0.2040.0400.0000.0630.9970.9951.000

Missing values

2023-12-12T20:13:20.522832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:13:20.776035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

판매일자요일상품명대분류명중분류명소분류명판매단가수량매출액데이터기준일자
02020-07-01수[(주)보성녹차유통] 보성녹차 175ml x 30캔식품음료&티백녹차228001228002022-10-30
12020-07-01수[(주)보성녹차유통] 서편제 홍차 175ml x 30캔식품음료&티백발효차228001228002022-10-30
22020-07-01수[(주)보성녹차유통] 옥수수수염차 175ml x 30캔식품음료&티백식물 뿌리+잎차228001228002022-10-30
32020-07-01수[선운제다] 세작삼각티백(25eax2)식품음료&티백녹차180002360002022-10-30
42020-07-01수[청룡다원] 맑고 깨끗한 유기농 녹차 티백(100T)식품음료&티백녹차111101111102022-10-30
52020-07-02목[가막재다원] 보성 유기농 녹차 홍계 첫물차 50gx2식품음료&티백녹차11700011170002022-10-30
62020-07-03금[보성소아다원]말차 500g식품음료&티백녹차4500041800002022-10-30
72020-07-03금[보성운림녹차]어성초자소엽녹차 헤어비누생활용품위생용품비누60003180002022-10-30
82020-07-06월[보성운림녹차]녹차 천연 비누 세트 (3개입)생활용품위생용품비누89002178002022-10-30
92020-07-07화[운해녹차] 국화차 20g식품음료&티백꽃차100002200002022-10-30
판매일자요일상품명대분류명중분류명소분류명판매단가수량매출액데이터기준일자
27292022-07-26화[보성운림녹차]유기농 유기 대작 100g식품음료&티백녹차106003318002022-10-30
27302022-07-27수[보성차생산자조합] 블랜딩 그린티3종(둥굴레 그린티 / 민트마테 그린티 / 보성 티 테이스터)식품음료&티백블랜딩티77002154002022-10-30
27312022-07-28목[보성원당제다원] 우전+홍차 삼각티백식품음료&티백기타90002180002022-10-30
27322022-07-28목[보성원당제다원] 수세미와 도라지차 70g식품음료&티백식물 뿌리+잎차9900199002022-10-30
27332022-07-28목[보성청우다원] 새싹보리순가루 100g*1ea식품음료&티백식물 뿌리+잎차100001100002022-10-30
27342022-07-28목[보성차생산자조합] 블랜딩 그린티3종(둥굴레 그린티 / 민트마테 그린티 / 보성 티 테이스터)식품음료&티백블랜딩티77003231002022-10-30
27352022-07-28목[보성차생산자조합] 블랜딩 그린티3종(둥굴레 그린티 / 민트마테 그린티 / 보성 티 테이스터)식품음료&티백블랜딩티77004308002022-10-30
27362022-07-29금[남양다원] 산녹차우전세트(50gx2EA)식품음료&티백녹차450001450002022-10-30
27372022-07-31일[청룡다원]보성 유기농 녹차80g식품음료&티백녹차270001270002022-10-30
27382022-07-31일[보성신옥로제다] 보성 유기농 녹차 대작 80g식품음료&티백녹차120001120002022-10-30

Duplicate rows

Most frequently occurring

판매일자요일상품명대분류명중분류명소분류명판매단가수량매출액데이터기준일자# duplicates
642021-11-22월[다도락] 보성녹차 새봄사랑 80g(40gx2) [5+1]식품음료&티백녹차450001450002022-10-3028
652021-11-24수[보성차생산자조합] 보성녹차 라떼식품음료&티백녹차5400154002022-10-3028
192021-02-02화[보성운림녹차]유기농 유기 곡우 100g식품음료&티백녹차355001355002022-10-3011
602021-10-14목[보향다원] 녹차아람 그린티 삼각티백식품음료&티백녹차117001117002022-10-3010
1052022-04-30토[보성원당제다원] Expo 기념 특 첫물차 1+1(선착순 200명 한정)식품음료&티백녹차250001250002022-10-3010
752021-12-29수[보성차생산자조합] 보성녹차 라떼식품음료&티백녹차5400154002022-10-309
1122022-05-01일[보성원당제다원] Expo 기념 특 첫물차 1+1(선착순 200명 한정)식품음료&티백녹차250001250002022-10-308
1192022-05-03화[(주)부광] 오공공일이 블렌딩티 12종식품음료&티백블랜딩티225001225002022-10-305
662021-11-30화[다도락] 녹차죽염 300g식품조미식품가루90002180002022-10-304
702021-12-14화[다도락] 녹차죽염 300g식품조미식품가루9000190002022-10-304