MS / MUHAMMAD SAFDAR
Retail analytics · customer cohort

Customer Purchase Intelligence

Explore the 2016–2019 purchase mix by year, country, product and age band using anonymous summary data.

The archive filename calls this a hiring assessment, but the columns describe customer purchases. One exact duplicate was removed, leaving 99 records. Dates use mixed separators and were interpreted day-first (for example 5/1/2016 as 5 January 2016); country whitespace was trimmed. The public dashboard contains no customer names or IDs. Currency is unspecified in the source, so monetary figures use source units.