Introduction: This is a tutorial on how to create heatmap data visualizations using R. You'll learn how to create an hourly sessions (visits) by day of week heatmap and a page scroll depth heatmap.
Analysis Overview:
Heatmaps let you visualize large volumes of complex data and quickly spot trends and generate insights. R the open source statistical programming language have packages to connect directly to Google Analytics googleAnalyticsR or Adobe Analytics RSiteCatalyst and create visualizations using packages like ggplot2.
Analysis Benefits:
The hourly sessions data by day of week heatmap gives you a better understanding of the days and times you are getting traffic to your site.
The page scroll depth heatmap gives you a better handle on content engagement. It let's you see if visitors are scrolling down the page and reading your content.
DAA members, go here to view full recipe.
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Ryan Praskievicz
EY
New York NY
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