Instacart, an online grocery store that operates through an app and aims to make it easy to fill your refrigerator and pantry with your personal favourites and staples when you need them. Instacart already has very good sales, but they want to uncover more information about their sales patterns. The objective of the study is to analyse customer behaviour and uncover patterns for growth.
The dataset comprises of information on the following parameters:
- orders
- products
- departments
- customers
For this project the following python libraries were used:
- pandas for data analysis
- seaborn for visulaisation
The code is available as jupyter notebooks under /scripts/.