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Customer-Retail-Analysis

Name of the Project

• Customer Analysis for Retail

Tool used for analysis

• Python

Packages

• NumPy • Pandas • Matplotlib • Seaborn

Business Problem

• A Retail store is required to analyze the day-to-day transactions and keep a track of its customers spread across various locations along with their purchases/returns across various categories.

Data Availability

• Retail Data.xlsx

  • This book has three sheets (Customer, Transaction, Product Hierarchy)
  • Customer: Customers information including demographics
  • Transaction: Transactions of customers
  • Product Hierarchy: Product information (category, sub category etc...)
  • Approach to the business problem

• DATA PREPARATION AND UNDERSTANDING

  • Deleting Unnecessary Data
  • Consolidating/Separating Fields
  • Transforming Data
  • Making Corrections to Data
  • Changing Formats

• DATA ANALYSIS

  • Exploratory analysis
  • Interpreting the data Descriptive analysis

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A Retail store is required to analyze the day-to-day transactions and keep a track of its customers spread across various locations along with their purchases/returns across various categories.

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