The dataset used in this tutorial is food_stamps from the dslabs package. This data includes the annual number of participants (in millions) and the total cost (in billions of dollars) for the U.S. Supplemental Nutrition Assistance Program. I did a multivariable bubble plot with the help of ai to make the points look more like "bubbles". By mapping the number of participants to both the size and the color of the bubbles, add a third dimension to the standard Year vs. Cost scatter plot. I utilized the highcharter library to ensure the graph is interactive, allowing to hover over specific data points to see exact values. While the growth in costs and participants was relatively linear and gradual from the 1970s through the 1990s, there is a dramatic "explosion" in both variables starting around 2008. The bubbles not only move higher on the Y-axis (indicating skyrocketing costs) but also grow significantly larger and darker in color (indicating a massive increase in participants).

raster_T_sentine32024shp

This project will utilize US Census data through tidycensus. This project will consist of two parts. The first part will assess the percentage of the population in each county that has a graduate degree through non-spatial means. The second part will assess the median household incomes by Census tract within the county of Suffolk utilizing ggplot2 and mapview. This county holds the city of Boston and surrounding metropolitan area.

RasterT_S2shptemp2020