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Copyright © 2017-19 InfoSum. All Rights Reserved. 

January 19, 2017

January 11, 2017

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Template III: Supermarket

January 25, 2017

1. Define criteria and insights

 

The pre-generated template "Supermarket" is programmed to show a relationship between product price and quantity sold. 

 

 Columns

 

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. 

 

 Charts

 

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.

 

Export 

 

 

Grab a slice of this pre-generated template by selecting "Supermarket", or start baking your very own personalised dataset now

 

 

 

 

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