Exploratory Data Analysis for retail data
2024-9-1
Overview
Exploring data from an online retail store based in the UK using Python (Jupyter Notebook):
- Presented my process for identifying the key variable to understand the data.
- Cleaned the data, by removing erroneous records and isolating transaction classes like discounts and returns.
- Analyzed the data, and presented the results through visualizations.
- Provided actionable suggestions related to the data structure, the data entry process, discount policy, return rate, and losses.
A real-life application for a project like that would be in a situation where a company acquires an online store and inherits its books without much information about the data entry process or the data structure.