The philosophy underlying reproducible finance is that the data/code behind data-driven financial analysis should be both replicable and understandable. Conclusions can be reached in a variety of ways, but the most desired approaches are fluid, efficient, and can be collaborated on by other data scientists and quants. Furthermore, this causes packages such as tidyverse and tidyquant, to become crucial for a structured experience using R, allowing a user to perform effective actions necessary for data visualization.