Generate realistic data on shopping habits
March 1, 2017
Template III: Supermarket
January 25, 2017
Template II: Patients
January 19, 2017
Template I: Students
January 11, 2017
Create a dummy data set which shows realistic shopping habits and customer preferences.For example, a data set which shows the following assumptions as insights:
Estimated income related to age - generally older people have higher incomes.
Amount spent on goods related to income - generally people with higher incomes spend more.
Various choices that customers make, such as product purchased and method of payment, are related to income and age - generally younger people shop more on their phones.
How we created the dummy data
We generated the data set in DataBake using the following variables, as columns:
Estimated Income (>£10k)
Retail Purchases (Jeans, T-shirt, Jumper, Coat, Shirt, Trousers, Shorts)
Amount Spent on Goods
Method of Payment (E-Commerce, In Store, M-Commerce)
This is what our realistic dummy data looks like when visualised.
View and download 1000 rows of this data set.
Think you can bake a more insightful dummy data set?
Grab a byte at app.databake.io