1. Define criteria and insights
The pre-generated template "Supermarket" is programmed to show a relationship between product price and quantity sold.
DataBake enables users to work backwards by starting with defining the look of the final dataset and insights. As an example, this dataset would help a supermarket identify best selling products and customer preferences, through the relationship between price and quantity sold.
Product quantity sold defined insight
2. Preview cooked up datasets
Charts, when available, display the preview data on histograms or fitted curve plots. They are from a larger set of 1000 rows and normalised in order to reduce the effect of noise on the shape of the distribution.
The charts give a good idea on what shape the distributions in your final dataset will be, so that it's easy to get quick feedback and make any adjustments pre-generation.
3. Export into spreadsheets or databases
Export generates an instance of the specified dataset by running a generation task in the cloud.
Grab a slice of this pre-generated template by selecting "Supermarket", or start baking your very own personalised dataset now.