Visualizing Website Pathing With Sankey Charts

In my prior post on visualizing website structure using network graphs, I referenced that network graphs showed the pairwise relationships between two pages (in a bi-directional manner). However, if you want to analyze how your visitors are pathing through your site, you can visualize your data using a Sankey chart.

Visualizing Single Page-to-Next Page Pathing

Most digital analytics tools allow you to visualize the path between pages. In the case of Adobe Analytics, the Next Page Flow diagram is limited to 10 second-level branches in the visualization. However, the Adobe Analytics API has no such limitation, and as such we can use RSiteCatalyst to create the following visualization (GitHub Gist containing R code):

The data processing for this visualization is near identical to the network diagrams. We can use QueuePathing() from RSiteCatalyst to download our pathing data, except in this case, I specified an exact page name as the first level of the pathing pattern instead of using the ::anything:: operator. In all Sankey charts created by d3Network, you can hover over the right-hand side nodes to see the values (you can also drag around the nodes on either side if you desire!). It’s pretty clear from this diagram that I need to do a better job retaining my visitors, as the most common path from this page is to leave. :(

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Creating A Stacked Bar Chart in Seaborn

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The other day I was having a heck of a time trying to figure out how to make a stacked bar chart in Seaborn. But in true open-source/community fashion, I ended up getting a response from the creator of Seaborn via Twitter: @randyzwitch I don't really … [Continue reading]

Visualizing Website Structure With Network Graphs

Last week, version 1.4 of RSiteCatalyst was released, and now it's possible to get site pathing information directly within R. Now, it's easy to create impressive looking network graphs from your Adobe Analytics data using┬áRSiteCatalyst … [Continue reading]

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