Datasets:
Simrita
/
FreshRetailNet-50K

Dataset card Data Studio Files
xet
 Community
1
city_id
int64
store_id
int64
management_group_id
int64
first_category_id
int64
second_category_id
int64
third_category_id
int64
product_id
int64
dt
string
sale_amount
float64
hours_sale
list
stock_hour6_22_cnt
int32
hours_stock_status
list
discount
float64
holiday_flag
int32
activity_flag
int32
precpt
float64
avg_temperature
float64
avg_humidity
float64
avg_wind_level
float64
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2024-05-01
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2024-05-02
0.2
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740
2024-05-03
0.7
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2024-05-04
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740
2024-05-05
0.8
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740
2024-05-06
0.7
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2024-05-07
0.8
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740
2024-05-08
0.5
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740
2024-05-09
0.7
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740
2024-05-10
0.4
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740
2024-05-11
0.8
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740
2024-05-12
0.6
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2024-05-13
0.8
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740
2024-05-14
0.9
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24
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740
2024-05-15
0.7
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740
2024-05-16
0.4
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2024-05-17
0.5
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740
2024-05-18
1
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740
2024-05-19
0.4
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24
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740
2024-05-20
0.7
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740
2024-05-21
0.5
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740
2024-05-22
0.4
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4
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0
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24
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740
2024-05-23
0.2
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8
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24
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740
2024-05-24
0.6
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0
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24
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740
2024-05-25
0.4
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76
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740
2024-05-26
1
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0.8587
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24
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740
2024-05-27
0.8
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24
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76
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740
2024-05-28
0.4
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0
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24
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76
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740
2024-05-29
0.4
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0
0
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24
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76
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740
2024-05-30
0.5
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0
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24
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76
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740
2024-05-31
0.6
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740
2024-06-01
0.4
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1
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1.9178
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24
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76
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740
2024-06-02
1.4
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1.7648
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740
2024-06-03
0.4
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0
0
2.8479
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740
2024-06-04
0.5
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0
0
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24
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76
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740
2024-06-05
0.2
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0
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24
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76
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740
2024-06-06
0.4
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0
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740
2024-06-07
0.2
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0
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76
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740
2024-06-08
0.6
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0
2.5765
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76
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740
2024-06-09
0.3
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1
0
5.3501
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24
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76
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740
2024-06-10
0.6
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1
0
5.0293
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24
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76
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740
2024-06-11
0.6
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0
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76
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740
2024-06-12
0.1
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0
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76
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740
2024-06-13
0.6
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0
0
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76
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740
2024-06-14
0.8
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0.81
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6.4903
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76
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740
2024-06-15
0.6
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0.789
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1
7.152
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1.77
0
24
2
29
76
60
740
2024-06-16
0.8
[ 0, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0.2, 0, 0.2, 0.1, 0, 0.2, 0, 0, 0, 0, 0, 0, 0 ]
5
[ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1 ]
0.81
1
1
8.0519
27.39
80.52
1.59
0
24
2
29
76
60
740
2024-06-17
0.3
[ 0, 0, 0, 0, 0, 0, 0, 0.1, 0, 0.1, 0, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
10
[ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
1
0
0
7.88
27.27
77.95
1.57
0
24
2
29
76
60
740
2024-06-18
0.3
[ 0, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
0
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
1
0
0
13.2452
26.67
81.95
1.64
0
24
2
29
76
60
740
2024-06-19
0.3
[ 0, 0, 0, 0, 0, 0, 0.1, 0, 0.1, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
12
[ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
1
0
0
14.2059
25.83
82.97
1.43
0
24
2
29
76
60
740
2024-06-20
0.5
[ 0, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0.3, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
7
[ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
1
0
0
9.7209
27.86
86.8
1.84
0
24
2
29
76
60
740
2024-06-21
0.9
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3, 0.3, 0, 0, 0.2, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0 ]
11
[ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
1
0
0
5.2235
26.83
82.11
1.57
0
24
2
29
76
60
740
2024-06-22
0.7
[ 0, 0, 0, 0, 0.2, 0, 0.3, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0 ]
1
[ 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
0.9
1
1
8.1333
27.52
82
1.64
0
24
2
29
76
60
740
2024-06-23
0.4
[ 0, 0, 0, 0, 0, 0, 0, 0.1, 0, 0.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
12
[ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
0.9
1
1
10.2554
27.78
84.75
1.45
0
24
2
29
76
60
740
2024-06-24
0.5
[ 0, 0, 0, 0, 0.2, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0.1, 0.1, 0, 0, 0, 0, 0, 0 ]
4
[ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1 ]
0.96
0
1
11.2245
26.58
82.23
1.36
0
24
2
29
76
60
740
2024-06-25
0.5
[ 0, 0, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0.1, 0.1, 0, 0.1, 0, 0, 0.1, 0, 0, 0, 0, 0 ]
10
[ 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
1
0
0
12.4901
28.52
84.59
1.32