The dataset contains columns - Transaction data - Date on which the transaction made bill ID- ID number of transaction user ID- ID number of user who made the transaction line item amount - amount of item item description - Description of item inventory category - category of item color- colour of item size- size of item zone_name- name of zones where stores are located store name - name of stores according to the zones What can you do with this dataset -

1. Perform data cleaning
2. Do some analysis and answer some questions like- a) What are the products with highest sales b) Which zone(s) has highest sales c) How sales changed with time, etc. d) Perform clustering

I have also done some analysis .You can also check my work here. Please feel free to provide suggestions on improvements.