Walmart

Walmart

Walmart challenges participants to accurately predict the sales of 111 potentially weather-sensitive products (like umbrellas, bread, and milk) around the time of major weather events at 45 of their retail locations.

Original source: www.kaggle.com

Versions

  • Walmart (by Jan Motl)

    • changed the coding of missing values from "M" to NULL

Dataset details

Associated task:
Regression
Domain:
Retail
Data types:
Size:
167.3 MB
Count of tables:
4
Count of rows:
4,628,497
Count of columns:
27
Missing values:
No
Compound keys:
No
Loops:
No
Type:
Real
Instance count:
4,607,680
Target table:
train
Target column:
units
Target ID:
store_nbr, item_nbr
Target timestamp:
date

How to download the dataset

The datasets are publicly available directly from MySQL database.

  1. Open your favourite MySQL client (for example MySQL Workbench)
  2. Use following credentials:
    • hostname: relational.fit.cvut.cz
    • port: 3306
    • username: guest
    • password: relational
  3. Export "Walmart" database (or other version of the dataset, if available) in your favourite format (e.g. CSV or SQL dump).