Python Visualizations for 2015 NYC Street Tree Census

Sara Ramirez Andrés Niño Juan Molina

Seeing if the speed of a car will affect the stopping distance, using a simple linear regression.

This project explores the relationship between advertising spend and sales using simple linear regression. Using a marketing dataset that includes TV, radio, and newspaper advertising, the analysis evaluates how different channels impact sales performance. Visualizations and statistical results are used to support data-driven insights, highlighting that TV advertising has the strongest influence on sales, while radio shows a weaker but still positive relationship.