This analysis is part of a Case Study of a UK based online retail store.

This capstone project for my Udemy Data Science certification with R course mirrors Michael Lewis' "Moneyball" principles. It uses statistical analysis and data-driven methods in baseball to find undervalued players as replacements for those lost by the Oakland Athletics in the crucial 2001-02 offseason. By delving into historical baseball data and employing R-based analytical techniques, the project aims to redefine player value and team construction in Major League Baseball.

This project explores an online shopping dataset using R, aiming to uncover patterns in customer behavior, product trends, geographical spending habits, coupon impacts, temporal trends, and performance metrics. Leveraging visualization tools like ggplot and plotly, it provides insights into correlations, seasonal trends, and key performance indicators (KPIs) for strategic decision-making in e-commerce.

The project comprehensively analyzes an electric vehicle dataset examining manufacturing, vehicle attributes, pricing, and regional distribution. Key findings emphasize the dominance of Battery Electric Vehicles (BEVs) in production and range expansion, noting a correlation between Base MSRP and Electric Range. Notably, Tesla emerges as a leading make among registered vehicles. This study offers insights into evolving electric vehicle trends, including production shifts, pricing dynamics, and regional registrations.

Recreation of "The Economist" Publication's Scatterplot: Corruption and Human Development

The primary aim of this analysis is to assess water quality against international standards, focusing on potability factors. The dataset contains information on 3276 water bodies, showcasing parameters like pH, hardness, solids (TDS), chloramines, sulfate, conductivity, organic carbon, trihalomethanes, turbidity, and potability status.