Instacart_Project_Python

Python analysis of online grocery order datasets from Instacart, undertaken as part of CareerFoundry Data Analystics course.

Objectives:

Instacart wants to use insights from initial data and exploratory analysis to develop better segmentation of customers, and the marketing strategies to best reach them. The goal is to increase sales with greater understanding of any meaningfully distinct customer behaviors, such as late-night ordering, or regional dietary tendencies. (Is there a Midwestern "Casserole Belt?")

Data:

-Customers Data Set, created for project by CareerFoundry and supplied to students.

-Data Dictionary

-“The Instacart Online Grocery Shopping Dataset 2017”, Accessed (https://www.instacart.com/datasets/grocery-shopping-2017) on April 2023

Approach:

Vizualizations and Analysis created in Python with libraries:

-numpy

-pandas

-seaborn

-scipy

-matplotlib

Final presentation created with Excel

Contents:

-Project Management: Project Brief

-Data: Separated into Original and Prepared Data. This folder has not been included in repository because of space considerations.

-Scripts: Contains all the Jupyter scripts developed to clean, transform, analyze and visualize data

-Analysis: Contains the visualizations used to explore data and illustrate insights in the final report

-Sent to client: Final Report