This RMarkdown file contains the report of the data analysis done for the project on building and deploying a stroke prediction model in R. It contains analysis such as data exploration, summary statistics, and building the prediction models.

In this Tutorial, you should learn how to: - Wrangle data extracted from a published figure using WebplotDigitizer - Embed images in R Markdown - Use ggplot to replicate a published figure - Make fine adjustments to the ggplot figure to match an original figure - Save a ggplot figure as an image file - Access valuable sources for working with color in ggplot

This study explores the effects of race/ethnicity on rent burden, eviction rates, and infant mortality across Connecticut towns. The research study will utilize the R programming language to analyze data on eviction rates, rent affordability, and race/ethnicity. Through spatial analysis, the study will analyze the spatial distribution of these variables and compare them visually. The goal is to identify patterns or trends that may emerge from the variables, thereby gaining an understanding variables. The results of this research show Connecticut Cities have common traits urban areas are more likely to have a higher percent of black residence and a higher rate of evictions and infant mortality.