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ABSTRACT # This project is a comprehensive statistical exploration of customer sales data. # My primary goal was to understand sales trends, evaluate revenue patterns, and assess # the impact of discounts on revenue. I used statistical techniques such as tabulations, # visualizations, and aggregate calculations to uncover meaningful insights. Additionally, # I applied statistical formulas to quantify relationships and patterns. This analysis is # both a personal project and a demonstration of the power of data-driven decision-making. # PERSONAL PROJECT JOURNAL # When I began this project, I was excited to dive into a dataset that mimicked real-world # business scenarios. I focused on identifying relationships between variables like revenue, # discount, and product categories. My approach combined exploratory data analysis (EDA) # and statistical techniques to derive actionable insights.

Do problems 8.1, 8.2, 8.3, and 8.7 in Kuhn and Johnson.

Interactive map showing the bike theft crimes reported in the Metro Vancouver area in 2021

esto es solo una prueba del storytelling con la data de spotify