Baselight

Mega Marts Sales Prediction

Prediction of Store Sales

@kaggle.pavan9065_sales_prediction

Train
@kaggle.pavan9065_sales_prediction.train

  • 2.79 MB
  • 87864 rows
  • 9 columns
item_id

Item ID

item_w

Item W

item_type

Item Type

item_mrp

Item MRP

outlet_id

Outlet ID

outlet_year

Outlet Year

outlet_size

Outlet Size

outlet_location_type

Outlet Location Type

sales

Sales

FDU3221.02749928Baking Goods197.3523191OUT0462004SmallTier 22689.457781
NCT5421.10237063Meat148.2502137OUT0351987SmallTier 13437.350375
FDW0820.88226333Hard Drinks205.4650095OUT0351999SmallTier 33129.967268
FDJ2221.05043481Starchy Foods253.4175832OUT0461996SmallTier 11306.514376
FDF4721.24787634Baking Goods240.8710392OUT0351988SmallTier 31739.7698289999998
DRK1220.95639452Baking Goods130.2648682OUT0491999SmallTier 11963.629422
FDA3221.19656237Breads239.2597853OUT0351999SmallTier 2581.8878373
FDH2420.94931841Hard Drinks167.2671225OUT0461997SmallTier 2679.0550154
FDW0320.88481106Baking Goods185.4538636OUT0491997SmallTier 11991.320168
FDE1121.18364031Others239.191172OUT0182009SmallTier 1730.1489771

CREATE TABLE train (
  "item_id" VARCHAR,
  "item_w" DOUBLE,
  "item_type" VARCHAR,
  "item_mrp" DOUBLE,
  "outlet_id" VARCHAR,
  "outlet_year" BIGINT,
  "outlet_size" VARCHAR,
  "outlet_location_type" VARCHAR,
  "sales" DOUBLE
);

Share link

Anyone who has the link will be able to view this.