Sankey Chart Visual in Power BI VS R

ByHariharan Rajendran

Sankey Chart Visual in Power BI VS R

Check out my previous post to see the streamgraph chart comparison.

StreamGraph Visual in Power BI VS R

In this post, I have taken Sankey chart custom visual. The power bi custom visual has less functionality compare than R visuals

Power BI Desktop

We have a Sankey chart custom visual available in Power BI. Download and import into Power BI Desktop.

https://store.office.com/powerbiaddininstallpage.aspx?rs=en-US&assetid=WA104380777

Here I used a dataset called Titanic. This is one of the datasets in R which I used for this post.

R Studio 

To get the sankey visual, we need to install the alluvial package.

Run the below script in R Studio or R console application.

install.packages(‘alluvial’)
tit <- as.data.frame(Titanic)
library(alluvial)
alluvial( tit[,1:4], freq=tit$Freq, border=NA,
                                hide = tit$Freq < quantile(tit$Freq, .50),
                                 col=ifelse( tit$Survived == “No”, “red”, “yellow”) )

Power BI Desktop R Studio
Import Sankey Chart visual Install alluvial and related packages
Less Functionality More Functionality
GUI Type R Script Type
Only 2 levels of visual by default for the simple dataset. To see multi-level visuals then need to prepare a dataset with multi-level of source and destinations Multi-Levels of visual – Just add the number of fields.

About the Author

Hariharan Rajendran author

Hariharan Rajendran is a Microsoft Certified Trainer and Lead BI Solutions Consultant with 8+ years of experience in Database, BI and Azure platforms. Hariharan is also an active community leader, speaker & organizer and leads the Microsoft PUG (Power BI User Group – Chennai), SQLPASS Power BI Local Group – Chennai and an active speaker in SQL Server Chennai User Group and also a leader in Data Awareness Program worldwide events. Hariharan also frequently blogs (www.dataap.org/blog), provides virtual training (on ad-hoc basis) on Microsoft Azure, Database Administration, Power BI and database development to worldwide clients/audience.

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