I really appreciate and commend your efforts to stay with me to the end of this chapter. We went on a long and fruitful journey looking at the possibilities of tapping the potential goldmine that exists in Facebook's data stores. We looked at the Graph API and the Rfacebook package and harnessed it efficiently to extract and curate data from Facebook. We covered several important use-cases to understanding the basic use of the Graph API, analyzing your own personal social network of friends, and even learnt concepts of social network analysis by leveraging the igraph package. We built on these concepts and analyzed an even larger social network of Facebook brand pages related to English Football and applied more advanced concepts of social network analysis. Finally, we looked at Facebook page data and analyzed brand page and user engagements on Facebook, based on several different attributes and variables. We also mined trending posts and influential users from this data. You now know how to use the Graph API efficiently and how to build great visualizations to depict valuable insights from Facebook data. I encourage you to play around more with the code snippets from this chapter and build more use-cases and problems to solve on your own!