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.
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[@manny1manito2]

Lovely, So i'm making readme files for way to many cohorts and this saved me a bunch of time! thank you so much!

[@johnuesi]

Lovely video

[@jeffrothschildmsrd5633]

Awesome stuff guys!