Instacart

OVERVIEW

Instacart is an online grocery store that operates through a mobile app primarily in the U.S. and Canada. Instacart already has very good sales, but they want to uncover more information about their sales patterns.

OBJECTIVE

The objective of this project was to perform an initial data and exploratory analysis of the provided data set in order to derive insights and suggest strategies for better segmentation based on the provided criteria. And in order to answer the questions posed the Instacart I was tasked with conducting the analysis in Python, relevant libraries (pandas, NumPy, os, matplotlib, scipy, and seaborn) & various data sets provided in the achievement.

Data Summary

The datasets contains open-source data from 2017 made available online by Instacart. The consumer data and the prices of the products are fake and were both created for the purposes of the course.

Instacart data sets: Customers Data Set, Data Dictionary

TOOLS

Python + Excel + Libraries (pandas, numpy, matplotlib, seaborn) + Power Point

This project was apart of my data analytics course with CareerFoundry.

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