All the code and examples from the "Advanced Analysis with Adobe Analytics Data Feeds and R" session from Summit 2019. To view each of the R notebooks, rather than clicking the links above, use these links to see the notebooks fully rendered:
01 - Introduction to dplyr & R notebooks: http://datafeedtoolbox.com/wp-content/uploads/2019/03/01-Introduction-to-dplyr.nb_.html
02 - Preparing data feeds: http://datafeedtoolbox.com/wp-content/uploads/2019/03/02-Prepare-Data-Feed.nb_.html
03 - Creating a cross-device dataset: http://datafeedtoolbox.com/wp-content/uploads/2019/03/03-Cross-device-datasets.nb_.html
04 - Algorithmic attribution: http://datafeedtoolbox.com/wp-content/uploads/2019/03/04-Algorithmic-Attribution.nb_.html
05 - Visualizing the customer journey: http://datafeedtoolbox.com/wp-content/uploads/2019/03/05-Visualizing-Customer-Journey.nb_.html
06 - Clustering users/customers: http://datafeedtoolbox.com/wp-content/uploads/2019/03/06-Clustering-Users.nb_.html
07 - Importing clusters into Adobe Analytics: http://datafeedtoolbox.com/wp-content/uploads/2019/03/07-Import-Clusters-to-Analytics-2.nb_.html