Supermarket exploratory data analysis (EDA)
Welcome to my portfolio project! In this project, I focused on conducting an Exploratory
Data Analysis (EDA) using popular data analysis tools such as Pandas, NumPy, Matplotlib,
Seaborn, and Callmap. Through this project, I performed various exploratory, univariate,
bivariate, and correlation analyses to gain a better understanding of the data at hand.
The purpose of this project is to showcase a typical data exploration process that I would
undertake for any project where I seek to better understand a dataset. By leveraging these tools
and techniques, I was able to uncover insights and trends that may not have been immediately
apparent, which can ultimately help inform decision-making and drive better outcomes.
Throughout this portfolio project, I'll share my process, methodology, and findings, providing a
detailed breakdown of how I conducted the EDA and what I discovered along the way. So without
further ado, let's dive in!
Git Hub
Technologies:
