This analysis focuses on GPU hardware performance, examining GPU model, VRAM capacity, number of GPUs per instance, benchmark performance scores, and power consumption to assess their relationship with hourly pricing. Statistical methods implemented in R include descriptive statistics, Pearson correlation, simple linear regression, and Welch two-sample t-tests, supported by regression plots, boxplots, and a correlation heatmap.

An example of the flexdashboards package in R using the mtcars dataset