TidyX Episode 94 | Rmarkdown Guide - Parameterized Reports

TidyX Episode 94: Rmarkdown Guide - Parameterized Reports Parameterized reports allow data scientists to multiply their impact by reducing the amount of work they need to do to produce new reports. Using the YAML header, a data scientist can set parameters that change based on user inputs to create customized reports at the click of a button. In this episode we go over the basics of adding a paramter, how to customize the input either interactively or programmatically, and using the parameter in your code. Then we create a custom example on pulling NBA basketball data for multiple years and displaying a team of interest. Like, Subscribe, and find us on twitter! (@ellis_hughes, @OSPpatrick, @tidy_explained). If you like what we are doing, please sign up to be a patron on Patreon! https://www.patreon.com/Tidy_Explained Email us with any comments, questions, or suggestions at [email protected]. Links: Open an issue on the TidyX Github page! https://github.com/thebioengineer/TidyX/issues Patreon: https://www.patreon.com/Tidy_Explained TidyX Code: https://github.com/thebioengineer/TidyX/tree/master/TidyTuesday_Explained/094-Rmarkdown_Guide_Parameterized_Reports Rmarkdown Guide: https://bookdown.org/yihui/rmarkdown/