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Instacart-Grocery-Basket-Analysis

Project Description

Instacart is an online grocery delivery and pick-up service in the United States and Canada that operates through an app. This repository contains python scripts using pandas, numpy, matplotlib, and seaborn libraries to uncover sales patterns, customer purchasing behaviours, and identify customer segmentation to form targeted sales and marketing strategies.

Folders Upload Descriptions

  • 01 Scripts folder contain scripts on data wrangling, subsetting, consistency check, merging, deriving new variables, grouping, aggregating variables, and visualisation procedures taken to conduct the project analysis.

  • 02 Visualisation folder contain charts generated via Python using Matplotlib and Seaborn libraries.

  • 03 Sent to client folder contains final deliverable detailing the analysis, findings, and recommendations.

Data Sets

Following open source data sets from Instacart was used to carry out this project:

  • Customers
  • Departments
  • Order_products_prior
  • Orders
  • Products

Citation: “The Instacart Online Grocery Shopping Dataset 2017”, Accessed from https://www.instacart.com/datasets/grocery-shopping-2017.

Language

Python: 3.9.7

Author

Amy Yip