CONGRATULATIONS!!! You have journeyed through a challenging path and persevered. You are now equipped to “release the BAW”. In your journey, you learned to coordinate three languages – 1) graphical models to aid business communication , 2) probability theory for Bayesian inference, and 3) the R programming language to manipulate and visualize data as well as to give you access to statistical computation. Your language coordination abilities help you overcome the challenges faced by the poor people depicted in Figure 26.1. The use of generative DAGs from the
causact package enabled you to reduce the friction between these languages. As a tradeoff, however, your knowledge in any one of the languages only runs so deep. Now is the time to keep going and pick from the below resources to further develop your skills.
ggplotsis made available to the reader.
That’s all I have; thanks for making it through the text. Reach out to me on Twitter (@preposterior) if you are liking the book or have suggestions; it is the first version of this book, so I am sure there is boundless room for improvement. Keep going, enjoy the journey, and embrace the productive struggle of a world-class business analyst!
Quick link to a Twitter list with all of these great accounts to follow: https://twitter.com/i/lists/1285974776683663361?s=20
One last thing. To me, the best resource for feeling part of the
R community and to have your finger on its pulse is to use Twitter. The following pages include a Twitter-profile montage of people who you should follow for inspiration as you progress through the next stages of your journey: