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Deciphering Customer Buying Cycles in Grocery Stores

Intermediate
Updated 04/2024
Analyze grocery store data to identify shopping patterns and preferences.
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1 Task1,500 XP213

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Project Description

Analyze grocery store transactions to optimize retail strategies for a local chain. Dive two grocery store s' data including date and time information. Explore customer behavior by examining purchase times, quantities, and product preferences. Utilize the tidyverse for data manipulation and uncover trends in shopping habits.

Project Tasks

  1. 1
    Answer grocery store analysis questions.

Technologies

R R

Topics

Data ManipulationProgramming

Prerequisites

Working with Dates and Times in RData Manipulation with dplyr
Dr. Chester Ismay HeadshotDr. Chester Ismay

Educator, Data Scientist, and R/Python Consultant

Chester enjoys helping others get into data science, figuring out how to best practice and improve on their skills, and working as a part-time consultant on R and Python programming projects. He is co-author of "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at moderndive.com and for purchase from CRC Press. He likes leading education and data science teams with the goal of improving best practices based on data from the learning sciences.
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