Visualizing multiple dimensions of Google Analytics in R

August 12, 2016
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(This article was first published on Tatvic Blog » R, and kindly contributed to R-bloggers)

Stack bar chart

  •  It is used when we wish to visualize a combination of categorical variables
    ggplot(data, aes(date, fill = region)) + geom_bar()+ labs(title = "Stacked Bar Chart", x = "Date", y = "Count of Regions") where date : ga:date and region : ga:region
  • Example
     ggplot(train, aes(Outlet_Location_Type, fill = Outlet_Type)) + geom_bar()+ labs(title = "Stacked Bar Chart", x = "Outlet Location Type", y = "Count of Outlets")

Stacked bar chart

 

Heat Map

  • It uses intensity (density) of colors to display relationship between two or three or many variables in a two dimensional image.

  • It allows us to explore two dimensions as the axis and the third dimension by intensity of color.
    ggplot(data, aes(date, region)) + geom_raster(aes(fill = transactions))+ labs(title ="Heat Map", x = "Date", y = "Region")+ scale_fill_continuous(name = "Transactions") where date : ga:date, region : ga:region and transactions : ga:transactions
  • Example

    ggplot(train, aes(Outlet_Identifier, Item_Type)) + geom_raster(aes(fill = Item_MRP)) + labs(title ="Heat Map", x = "Outlet Identifier", y = "Item Type") + scale_fill_continuous(name = "Item MRP")

    Heat map

 

The post Visualizing multiple dimensions of Google Analytics in R appeared first on Tatvic Blog.

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