Name: Mega Marts Sales Prediction
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Mega Marts Sales Prediction

About Data

The sales in the mega marts are critical to make them sustainable. As a matter of fact, the rise of several marts has created buyers of different categories who are critical about the quality of product at the right price.

Here, the data science & machine learning community has been challenged to build an ML model and predict the sales of each product from each outlet. The participants also need to use the model to analyse the properties of the product in the stores and find ways to increase sales.

Data Attributes

Item_ID: Item Identification Number
Item_W: Item Weight
Item_Type: Item
Item_MRP: MRP of the Product
Outlet_ID: Outlet ID
Outlet_Year: Outlet Establishment year
Outlet_Size: Size of the outlet
Outlet_Type: Type of the outlet
Sales: Total sales from the outlet

Tables

Submission

@kaggle.pavan9065_sales_prediction.submission

2.08 kB
37,656 rows
2 columns

CREATE TABLE submission (
  "sale" DOUBLE,
  "unnamed_1" VARCHAR  -- Unnamed: 1
);

Test

@kaggle.pavan9065_sales_prediction.test

869.2 kB
37,656 rows
8 columns

CREATE TABLE test (
  "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
);

Train

@kaggle.pavan9065_sales_prediction.train

2.93 MB
87,864 rows
9 columns

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
);