1. What Power BI users need to know about R

2. Nico Jacobs 1996 – 2004: Researcher @ KULeuven (Machine learning)
2004 – now: SQL Server, Power BI and Cortana Intelligence U2U
SQLWaldorf (twitter/linkedin)

3. Power BI flow
Load data
Transform
Model data
Report

4. R in Power BI prerequisites
Power BI Desktop must be installed from
We must have R installed as well
In Power BI Desktop File  Options and Settings  Options R Scripting we can specify which local R installation we want to use
Both the Microsoft R Open, Microsoft R Client, Microsoft R Server and CRAN R distributions are supported

5. R as a source Twitter data Random data

6. Adding an R data source
In Power BI Desktop from the Home ribbon select Get Data
Select the option More
From the Other group select R Script and click connect

7. Providing the R script
The Execute R Script dialog has no Intellisense, syntax coloring or other support for writing the code
Prefer writing the script in R Tools for Visual Studio, R Studio or other R editor, then paste it into this window

8. Navigator In the navigator we see all variables holding data frames
By clicking on the name we get a preview of the data set
We can select which data set we want to load or edit

9. Query editor
In the editor we can use Power Query to modify the data set produced by R
By clicking the gear icon next to source we can change the R script as well

10. R as a transformation
Fuzzy matching
Outlier detection

11. R charts
Histogram
ggplot

12. R visualizations Power BI desktop has many data visualizations
Both build-in and add-on
One of the build in visualizations is the R rendering
Just as the R source this depends on an R version to be installed
Not part of Power BI Desktop installation

13. Create R visualization
First create a Power BI Desktop file with one or more data sources
These can be any data sources supported by Power BI: not only R sources
Then add a report in Power BI Desktop
In the visualizations dialog select the R visualization

14. Configuring the R visualization
3: run R script
1: select fields
2: provide R script

15. Visualization R script
Power BI Desktop automatically creates a data frame with all the selected fields
These fields can come from more than one source table
By default the values are not aggregated and not filtered, but this can be changed as with any Power BI visualization
Then all distinct values are taken
Add row number if you need all rows
Then we can write our own script
When using libraries, make sure these are installed in your R distribution

16. Visualization interaction
When we interact with regular Power Bi visualizations, these will filter our R visualization
But not the other way round

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