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")

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")

  

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