Go Sample Dataset
Data
Historical customer data for a fictional outdoor equipment store used in Watson Studio tutorials train the machine learning models. This set of Go customer data is derived from the Order Methods, Products, Retailers and Sales dataset of the Go Sales dataset. The sample data is structured in rows and columns, and saved in a .csv file.
Feature datasets and columns
- Go product: Information on the ID and quantity of sale items
Retailer code
Product number
Date
Quantity: Number of items
- Go Daily Sales:
Retailer code
Product number
Order Method Code: Sequential numerical code for order method type
Date
Quantity: Number of items
Unit Price: Regular price of item
Unit Sale Price: Sales price of item
- Go Methods:
Order Method Code: Sequential numerical code for order method type
Order Method Type: "Fax", "Telephone", "Mail", "E-mail", "Web", "Sales visit", "Special", "Other"
- Go Products:
Product number
Product line: "Camping Equipment", "Mountaineering Equipment", "Personal Accessories", "Outdoor Protection", "Golf Equipment"
Product type: "Cooking Gear", "Tents", "Sleeping Bags" and more
Product: "TrailChef Water Bag", "TrailChef Canteen", "TrailChef Kitchen Kit" and more
Product brand: "TrailChef", "Star", "Hibernator" and more
Product color: "Clear", "Brown", "Silver" and more
Unit cost: Cost to supply unit in shop
Unit price: Regular price of item
- Go Retailers:
Retailer code
Retailer name
Type: Type of retailer store
Country: Retailer store's country of origin
Details
Publisher
IBM
Modified
Jun 30, 2020