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Datasets:
Varde001
/
superkart-sales-data

Tasks:
Text Classification
Modalities:
Tabular
Formats:
csv
Languages:
Assamese
Size:
1K - 10K
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
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Product_Id
int64
1
8.76k
Product_Weight
float64
4
22
Product_Sugar_Content
int64
0
3
Product_Allocated_Area
float64
0
0.3
Product_Type
int64
0
15
Product_MRP
float64
31
266
Store_Id
int64
0
3
Store_Establishment_Year
int64
1.99k
2.01k
Store_Size
int64
0
2
Store_Location_City_Type
int64
0
2
Store_Type
int64
0
3
Product_Store_Sales_Total
float64
33
8k
8,231
13.64
1
0.071
9
157.1
3
2,009
1
1
3
3,882.69
5,704
10.03
0
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126.66
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1,987
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1
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2,444.17
2,527
12.26
0
0.14
13
138.27
3
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1
1
3
3,185.13
3,496
10.28
0
0.143
3
147.44
3
2,009
1
1
3
2,926.08
1,890
16.38
0
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0
205.16
2
1,999
1
0
0
5,485.4
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13.37
0
0.113
0
137.21
3
2,009
1
1
3
3,414.5
6,958
11.8
3
0.029
1
144.64
3
2,009
1
1
3
3,212.19
1,549
9.61
0
0.026
13
161.79
3
2,009
1
1
3
3,920.35
1,638
11.98
0
0.086
6
125.08
3
2,009
1
1
3
2,851.97
5,442
11.5
0
0.039
4
159.66
3
2,009
1
1
3
3,451.32
6,909
12.66
2
0.153
3
151.92
3
2,009
1
1
3
3,554.37
3,438
9.18
2
0.171
4
115.82
1
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2
2
1
2,030.87
7,661
13.61
1
0.03
9
146.14
3
2,009
1
1
3
3,652.07
8,295
13.18
1
0.059
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178.63
2
1,999
1
0
0
4,219.6
1,926
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164.71
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1
1
3
3,934.13
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10.56
2
0.012
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131.37
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1
1
3
2,660.86
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1
3
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13
160.34
3
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1
1
3
3,874.03
1,414
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2
0.077
13
119.8
2
1,999
1
0
0
5,202.19
806
12.73
0
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6
144.22
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1
1
3
3,412.48
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10.95
0
0.027
5
120.35
3
2,009
1
1
3
2,521.93
4,155
13.64
2
0.016
4
155.99
3
2,009
1
1
3
3,859.26
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1
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136.46
3
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1
1
3
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2
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121.39
3
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1
1
3
2,947.95
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0
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217.5
2
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1
0
0
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3
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1
3
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229.54
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0
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1
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1
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116
1
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2
2
1
2,239.69
475
11
2
0.078
14
167.49
3
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1
1
3
3,498.89
3,731
9.5
0
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6
80.23
1
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2
1
1,375
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2
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3
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1
1
3
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6,397
12.14
0
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0
95.05
1
1,998
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2
1
2,273.91
529
11.73
2
0.048
14
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3
2,009
1
1
3
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4,318
15.2
0
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164.09
2
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1
0
0
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12.95
2
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134.98
3
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1
1
3
3,272.89
4,378
13.13
2
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13
116.75
3
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1
1
3
2,942.07
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12.83
0
0.011
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150.54
3
2,009
1
1
3
3,566.16
946
10.84
0
0.049
10
124.93
1
1,998
2
2
1
1,215.18
1,150
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0
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100.26
1
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2
1
2,104.26
2,993
13.68
0
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3
169.62
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1,987
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1
2
4,148.76
8,499
13.02
1
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1
1
3
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28
11.73
0
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14
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3
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1
1
3
3,044.98
4,855
13.31
0
0.066
6
162.29
3
2,009
1
1
3
3,914.8
1,567
11.68
2
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6
142.45
3
2,009
1
1
3
3,139.58
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11.73
0
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3
164.52
3
2,009
1
1
3
3,602.16
7,914
12.28
1
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206.85
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0
1
2
4,593.12
1,301
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0
0.058
13
161.79
3
2,009
1
1
3
3,349.31
6,098
11.77
0
0.025
4
152.22
2
1,999
1
0
0
5,751.8
3,399
17.11
2
0.065
13
180.36
2
1,999
1
0
0
5,141.68
7,202
11.49
3
0.11
13
135.98
3
2,009
1
1
3
3,990.5
6,051
13.31
2
0.074
13
134.89
3
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1
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3,354.07
3,099
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112.77
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2,354.38
6,934
15.26
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173.03
0
1,987
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1
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4,574.15
8,200
8.27
1
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156.11
3
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1
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2,649.21
3,403
14.88
2
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146.81
3
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1
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2
1
552
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3
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1
1
3
3,202.79
183
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2
0.032
14
181.1
0
1,987
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1
2
4,075.27
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18.12
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202.1
2
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0
0
5,815.38
19
13.21
0
0.059
14
151.87
3
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1
1
3
3,677.56
1,846
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123.45
1
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2
1
1,856.55
7,671
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1
0.046
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164.82
3
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1
3
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4,541
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0.08
6
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3
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1
3
3,724.87
363
13.09
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0.112
14
123.09
3
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1
1
3
3,062.32
4,616
12.01
2
0.019
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134.17
3
2,009
1
1
3
3,043.86
2,204
15.55
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175.65
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2
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3
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1
3
3,712.61
8,471
12.04
1
0.064
8
99.19
0
1,987
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1
2
2,336.73
3,872
17.15
0
0.094
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182.91
2
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1
0
0
5,203.29
2,481
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0.03
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132.65
3
2,009
1
1
3
4,328.48
1,006
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0
0.032
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142.22
3
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1
1
3
2,727.08
5,662
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172.17
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1
3
3,787.16
3,402
15.83
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180.77
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4,861.63
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2,440.96
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133.9
3
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1
3
2,911.86
3,336
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129.34
3
2,009
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1
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2,511.29
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104
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188.48
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4,776.98
938
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1
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3,649.8
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218.91
2
1,999
1
0
0
5,348.62
2,536
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0.017
13
102.94
3
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1
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2,556.84
5,753
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142.83
3
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1
1
3
3,554.49
8,038
12.41
1
0.042
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166.09
3
2,009
1
1
3
3,788.44
1,960
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0.045
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128.34
0
1,987
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1
2
2,431.05
303
10.3
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14
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3
2,009
1
1
3
2,581.85
3,537
13.14
2
0.034
5
97.35
3
2,009
1
1
3
2,546.15
4,765
11.92
2
0.031
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138.42
1
1,998
2
2
1
800.44
5,419
10.94
0
0.138
4
121.01
3
2,009
1
1
3
2,532.68
5,129
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6
135.76
3
2,009
1
1
3
2,996.96
3,738
11.48
0
0.122
4
153.27
3
2,009
1
1
3
3,316.49
6,943
11.72
0
0.022
10
133.1
3
2,009
1
1
3
2,956.82
8,551
15.11
1
0.014
8
176.72
0
1,987
0
1
2
4,615.65
985
13.67
0
0.028
5
141.51
3
2,009
1
1
3
3,570.19
8,153
10.8
1
0.07
8
135.13
3
2,009
1
1
3
2,790.07
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Size of downloaded dataset files:
426 kB
Size of the auto-converted Parquet files:
260 kB
Number of rows:
8,763