Python

This project aims to analyze the behavior of Amazon customers based on demographic and interaction variables. It was published on Kaggle to be shared with the community .

About the dataset:

Link: https://www.kaggle.com/datasets/swathiunnikrishnan/amazon-consumer-behaviour-dataset

This is a dataset collected to analyze the consumer behavior on Amazon, consisting of a comprehensive collection of customer interactions and browsing patterns within the Amazon ecosystem. It includes a wide range of variables such as customer demographics, user interactions, and reviews. The aim of this dataset is to provide insights into customer preferences, purchasing habits, and decision-making processes on the Amazon platform. By analyzing this dataset, researchers and analysts can gain a deeper understanding of consumer behavior, identify trends, optimize marketing strategies, and enhance the overall customer experience on Amazon.

Kaggle Notebook:

Link to Python Notebook:

https://www.kaggle.com/code/ricardolizano/amazon-customer-behavior-analysis?kernelSessionId=140035768

This project uses data from the best-selling smartphones in recent decades. The goal of the project is to identify market trends and provide useful information for brands that want to launch mobile devices in the future. The analysis was performed in a Kaggle Notebook using Python for the EDA and data visualizations.

Kaggle Notebook:

Link to Python Notebook:

https://www.kaggle.com/code/ricardolizano/mobile-phones-sales-analysis