This document discusses using R for analysis and visualization within Power BI. It presents an agenda covering typical retail profiles like stocks at refill and weekly/hourly turnover. Methods shown include histograms, density plots, boxplots, and time series decomposition to separate daily, weekly, and seasonal patterns. Forecasting models estimate time until refill and reliability. Integrating R scripts and debugging in RStudio are also covered. The speaker is available for questions.

1. BASLE BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA
HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH
Power of R in Power BI
Interactive Integration of R
Olaf Nimz

2. Agenda
Refill Threshold
Typical Profiles

3. Agenda
Decompose
Periodic
Pattern
Quantify
Reduction
Rate
Check
Reliability

4. Agenda
Forecast Fluctuation
Estimate Next
Refill Time
Route planning

5. Stocks at Refill
●
● ●
hist( dataset$column
, breaks=15
, prob = TRUE
, xlab='Stocks at Refill‘
, main='‘
)
lines(
density( dataset$column )
, lwd = 4
, col = ‘steelblue’
)

6. Weekly Profile
●
● ●
names( dataset ) [2] <- 'Abnahme'
boxplot( Abnahme ~ Wochentag
, data = dataset )

7. Hourly Profile

8. Turn-over until today

9. Turn-over until today

10. Turn-over until today

11. Turn-over until today

12. Link between Trend and Season
single week

13. Decomposition of Periodic Pattern
daily
two weeks

14. Decomposition of Periodic Pattern
daily
and
weekly
3 weeks
168 = 7x24

15. Reduction Extrapolation
-3150 -3100 -3050 -3000 -2950 -2900
05000150002500035000
intervals
instock
Empty in
151 intervals
(6 days 7h)
Refill in 56
(2 days 8h)
9600 as threshold
before empty
5% or 1:20
chance to
underestimate
duration
Threshold = preferred duration per individual slope
Calculate
Duration KPI
as
estimate,
lower/upper
confidence
just below
threshold
Prerequisite ?

16. Quality Check

17. Forecast Fluctuation
Export
Weekday ?

18. Zoom – daily and weekly combined
Significantly
different ?
(BoxPlot)

19. Weekly

21. Power of R in Power BI
Interactive integration of R visualisation
Apply R script as Transformation
Explore pre-build custom R visuals
Debugging in RStudio
Summary:

22. Questions & Answers…
Olaf Nimz
Principal Consultant
Olaf.Nimz@trivadis.com

23. R packages that are supported in Power BI
https://docs.microsoft.com/en-us/power-bi/service-r-packages-support
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